diff --git a/models/bad_blood/configs/config_queryset.py b/models/bad_blood/configs/config_queryset.py index 2d363b8..e80dc5d 100644 --- a/models/bad_blood/configs/config_queryset.py +++ b/models/bad_blood/configs/config_queryset.py @@ -14,57 +14,57 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('imr_mean', from_loa='priogrid_year', from_column='imr_mean') + .with_column(Column('lr_imr_mean', from_loa='priogrid_year', from_column='imr_mean') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('mountains_mean', from_loa='priogrid_year', from_column='mountains_mean') + .with_column(Column('lr_mountains_mean', from_loa='priogrid_year', from_column='mountains_mean') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('dist_diamsec', from_loa='priogrid', from_column='dist_diamsec_s_wgs') + .with_column(Column('lr_dist_diamsec', from_loa='priogrid', from_column='dist_diamsec_s_wgs') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('dist_petroleum', from_loa='priogrid', from_column='dist_petroleum_s_wgs') + .with_column(Column('lr_dist_petroleum', from_loa='priogrid', from_column='dist_petroleum_s_wgs') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('agri_ih', from_loa='priogrid_year', from_column='agri_ih') + .with_column(Column('lr_agri_ih', from_loa='priogrid_year', from_column='agri_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('barren_ih', from_loa='priogrid_year', from_column='barren_ih') + .with_column(Column('lr_barren_ih', from_loa='priogrid_year', from_column='barren_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('forest_ih', from_loa='priogrid_year', from_column='forest_ih') + .with_column(Column('lr_forest_ih', from_loa='priogrid_year', from_column='forest_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('pasture_ih', from_loa='priogrid_year', from_column='pasture_ih') + .with_column(Column('lr_pasture_ih', from_loa='priogrid_year', from_column='pasture_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('savanna_ih', from_loa='priogrid_year', from_column='savanna_ih') + .with_column(Column('lr_savanna_ih', from_loa='priogrid_year', from_column='savanna_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('shrub_ih', from_loa='priogrid_year', from_column='shrub_ih') + .with_column(Column('lr_shrub_ih', from_loa='priogrid_year', from_column='shrub_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('urban_ih', from_loa='priogrid_year', from_column='urban_ih') + .with_column(Column('lr_urban_ih', from_loa='priogrid_year', from_column='urban_ih') .transform.missing.fill() .transform.missing.replace_na() ) @@ -99,13 +99,13 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('greq_1_excluded', from_loa='priogrid_year', from_column='excluded') + .with_column(Column('lr_greq_1_excluded', from_loa='priogrid_year', from_column='excluded') .transform.bool.gte(1) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -113,7 +113,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -121,7 +121,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -129,7 +129,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -138,7 +138,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/bittersweet_symphony/configs/config_queryset.py b/models/bittersweet_symphony/configs/config_queryset.py index 22678a7..5b5e7ba 100644 --- a/models/bittersweet_symphony/configs/config_queryset.py +++ b/models/bittersweet_symphony/configs/config_queryset.py @@ -18,9 +18,6 @@ def generate(): .transform.ops.ln() .transform.missing.fill() ) - - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') - ) .with_column(Column('ln_ged_sb', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.ops.ln() @@ -36,6 +33,9 @@ def generate(): .transform.ops.ln() .transform.missing.fill() ) + + .with_column(Column('lr_lr_gleditsch_ward', from_loa='country', from_column='gwcode') + ) .with_column(Column('ln_acled_sb', from_loa='country_month', from_column='acled_sb_fat') .transform.ops.ln() @@ -52,457 +52,457 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_lr_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_dt_oda_odat_pc_zs', from_loa='country_year', from_column='wdi_dt_oda_odat_pc_zs') + .with_column(Column('lr_wdi_dt_oda_odat_pc_zs', from_loa='country_year', from_column='wdi_dt_oda_odat_pc_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_ms_mil_xpnd_gd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_gd_zs') + .with_column(Column('lr_wdi_ms_mil_xpnd_gd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_gd_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_ms_mil_xpnd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_zs') + .with_column(Column('lr_wdi_ms_mil_xpnd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_nv_agr_totl_kd', from_loa='country_year', from_column='wdi_nv_agr_totl_kd') + .with_column(Column('lr_wdi_nv_agr_totl_kd', from_loa='country_year', from_column='wdi_nv_agr_totl_kd') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') + .with_column(Column('lr_wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_ny_gdp_pcap_kd', from_loa='country_year', from_column='wdi_ny_gdp_pcap_kd') + .with_column(Column('lr_wdi_ny_gdp_pcap_kd', from_loa='country_year', from_column='wdi_ny_gdp_pcap_kd') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_dyn_le00_in', from_loa='country_year', from_column='wdi_sp_dyn_le00_in') + .with_column(Column('lr_wdi_sp_dyn_le00_in', from_loa='country_year', from_column='wdi_sp_dyn_le00_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_se_enr_prim_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prim_fm_zs') + .with_column(Column('lr_wdi_se_enr_prim_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prim_fm_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_se_enr_prsc_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prsc_fm_zs') + .with_column(Column('lr_wdi_se_enr_prsc_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prsc_fm_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_se_prm_nenr', from_loa='country_year', from_column='wdi_se_prm_nenr') + .with_column(Column('lr_wdi_se_prm_nenr', from_loa='country_year', from_column='wdi_se_prm_nenr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') + .with_column(Column('lr_wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sh_sta_stnt_zs', from_loa='country_year', from_column='wdi_sh_sta_stnt_zs') + .with_column(Column('lr_wdi_sh_sta_stnt_zs', from_loa='country_year', from_column='wdi_sh_sta_stnt_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sm_pop_totl_zs', from_loa='country_year', from_column='wdi_sm_pop_totl_zs') + .with_column(Column('lr_wdi_sm_pop_totl_zs', from_loa='country_year', from_column='wdi_sm_pop_totl_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') + .with_column(Column('lr_wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sh_dyn_mort_fe', from_loa='country_year', from_column='wdi_sh_dyn_mort_fe') + .with_column(Column('lr_wdi_sh_dyn_mort_fe', from_loa='country_year', from_column='wdi_sh_dyn_mort_fe') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') + .with_column(Column('lr_wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_1564_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_1564_fe_zs') + .with_column(Column('lr_wdi_sp_pop_1564_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_1564_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_65up_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_65up_fe_zs') + .with_column(Column('lr_wdi_sp_pop_65up_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_65up_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') + .with_column(Column('lr_wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_urb_totl_in_zs', from_loa='country_year', from_column='wdi_sp_urb_totl_in_zs') + .with_column(Column('lr_wdi_sp_urb_totl_in_zs', from_loa='country_year', from_column='wdi_sp_urb_totl_in_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_delibdem', from_loa='country_year', from_column='vdem_v2x_delibdem') + .with_column(Column('lr_vdem_v2x_delibdem', from_loa='country_year', from_column='vdem_v2x_delibdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_egaldem', from_loa='country_year', from_column='vdem_v2x_egaldem') + .with_column(Column('lr_vdem_v2x_egaldem', from_loa='country_year', from_column='vdem_v2x_egaldem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') + .with_column(Column('lr_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_libdem_48', from_loa='country_year', from_column='vdem_v2x_libdem') + .with_column(Column('lr_vdem_v2x_libdem_48', from_loa='country_year', from_column='vdem_v2x_libdem') .transform.missing.fill() .transform.temporal.tlag(60) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_partip', from_loa='country_year', from_column='vdem_v2x_partip') + .with_column(Column('lr_vdem_v2x_partip', from_loa='country_year', from_column='vdem_v2x_partip') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_partipdem', from_loa='country_year', from_column='vdem_v2x_partipdem') + .with_column(Column('lr_vdem_v2x_partipdem', from_loa='country_year', from_column='vdem_v2x_partipdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') + .with_column(Column('lr_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_civlib', from_loa='country_year', from_column='vdem_v2x_civlib') + .with_column(Column('lr_vdem_v2x_civlib', from_loa='country_year', from_column='vdem_v2x_civlib') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_clphy', from_loa='country_year', from_column='vdem_v2x_clphy') + .with_column(Column('lr_vdem_v2x_clphy', from_loa='country_year', from_column='vdem_v2x_clphy') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_cspart', from_loa='country_year', from_column='vdem_v2x_cspart') + .with_column(Column('lr_vdem_v2x_cspart', from_loa='country_year', from_column='vdem_v2x_cspart') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_divparctrl', from_loa='country_year', from_column='vdem_v2x_divparctrl') + .with_column(Column('lr_vdem_v2x_divparctrl', from_loa='country_year', from_column='vdem_v2x_divparctrl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_edcomp_thick', from_loa='country_year', from_column='vdem_v2x_edcomp_thick') + .with_column(Column('lr_vdem_v2x_edcomp_thick', from_loa='country_year', from_column='vdem_v2x_edcomp_thick') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_egal', from_loa='country_year', from_column='vdem_v2x_egal') + .with_column(Column('lr_vdem_v2x_egal', from_loa='country_year', from_column='vdem_v2x_egal') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_execorr', from_loa='country_year', from_column='vdem_v2x_execorr') + .with_column(Column('lr_vdem_v2x_execorr', from_loa='country_year', from_column='vdem_v2x_execorr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_frassoc_thick', from_loa='country_year', from_column='vdem_v2x_frassoc_thick') + .with_column(Column('lr_vdem_v2x_frassoc_thick', from_loa='country_year', from_column='vdem_v2x_frassoc_thick') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_gencs', from_loa='country_year', from_column='vdem_v2x_gencs') + .with_column(Column('lr_vdem_v2x_gencs', from_loa='country_year', from_column='vdem_v2x_gencs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_gender', from_loa='country_year', from_column='vdem_v2x_gender') + .with_column(Column('lr_vdem_v2x_gender', from_loa='country_year', from_column='vdem_v2x_gender') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_genpp', from_loa='country_year', from_column='vdem_v2x_genpp') + .with_column(Column('lr_vdem_v2x_genpp', from_loa='country_year', from_column='vdem_v2x_genpp') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_horacc', from_loa='country_year', from_column='vdem_v2x_horacc') + .with_column(Column('lr_vdem_v2x_horacc', from_loa='country_year', from_column='vdem_v2x_horacc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_neopat', from_loa='country_year', from_column='vdem_v2x_neopat') + .with_column(Column('lr_vdem_v2x_neopat', from_loa='country_year', from_column='vdem_v2x_neopat') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_pubcorr', from_loa='country_year', from_column='vdem_v2x_pubcorr') + .with_column(Column('lr_vdem_v2x_pubcorr', from_loa='country_year', from_column='vdem_v2x_pubcorr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_rule', from_loa='country_year', from_column='vdem_v2x_rule') + .with_column(Column('lr_vdem_v2x_rule', from_loa='country_year', from_column='vdem_v2x_rule') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_veracc', from_loa='country_year', from_column='vdem_v2x_veracc') + .with_column(Column('lr_vdem_v2x_veracc', from_loa='country_year', from_column='vdem_v2x_veracc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_ex_military', from_loa='country_year', from_column='vdem_v2x_ex_military') + .with_column(Column('lr_vdem_v2x_ex_military', from_loa='country_year', from_column='vdem_v2x_ex_military') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_ex_party', from_loa='country_year', from_column='vdem_v2x_ex_party') + .with_column(Column('lr_vdem_v2x_ex_party', from_loa='country_year', from_column='vdem_v2x_ex_party') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_freexp', from_loa='country_year', from_column='vdem_v2x_freexp') + .with_column(Column('lr_vdem_v2x_freexp', from_loa='country_year', from_column='vdem_v2x_freexp') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_acjst', from_loa='country_year', from_column='vdem_v2xcl_acjst') + .with_column(Column('lr_vdem_v2xcl_acjst', from_loa='country_year', from_column='vdem_v2xcl_acjst') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_prpty', from_loa='country_year', from_column='vdem_v2xcl_prpty') + .with_column(Column('lr_vdem_v2xcl_prpty', from_loa='country_year', from_column='vdem_v2xcl_prpty') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_slave', from_loa='country_year', from_column='vdem_v2xcl_slave') + .with_column(Column('lr_vdem_v2xcl_slave', from_loa='country_year', from_column='vdem_v2xcl_slave') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xdd_dd', from_loa='country_year', from_column='vdem_v2xdd_dd') + .with_column(Column('lr_vdem_v2xdd_dd', from_loa='country_year', from_column='vdem_v2xdd_dd') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xdl_delib', from_loa='country_year', from_column='vdem_v2xdl_delib') + .with_column(Column('lr_vdem_v2xdl_delib', from_loa='country_year', from_column='vdem_v2xdl_delib') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') + .with_column(Column('lr_vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqprotec', from_loa='country_year', from_column='vdem_v2xeg_eqprotec') + .with_column(Column('lr_vdem_v2xeg_eqprotec', from_loa='country_year', from_column='vdem_v2xeg_eqprotec') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xel_frefair', from_loa='country_year', from_column='vdem_v2xel_frefair') + .with_column(Column('lr_vdem_v2xel_frefair', from_loa='country_year', from_column='vdem_v2xel_frefair') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xel_regelec', from_loa='country_year', from_column='vdem_v2xel_regelec') + .with_column(Column('lr_vdem_v2xel_regelec', from_loa='country_year', from_column='vdem_v2xel_regelec') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xme_altinf', from_loa='country_year', from_column='vdem_v2xme_altinf') + .with_column(Column('lr_vdem_v2xme_altinf', from_loa='country_year', from_column='vdem_v2xme_altinf') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xnp_client', from_loa='country_year', from_column='vdem_v2xnp_client') + .with_column(Column('lr_vdem_v2xnp_client', from_loa='country_year', from_column='vdem_v2xnp_client') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xnp_regcorr', from_loa='country_year', from_column='vdem_v2xnp_regcorr') + .with_column(Column('lr_vdem_v2xnp_regcorr', from_loa='country_year', from_column='vdem_v2xnp_regcorr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlecon', from_loa='country_year', from_column='vdem_v2xpe_exlecon') + .with_column(Column('lr_vdem_v2xpe_exlecon', from_loa='country_year', from_column='vdem_v2xpe_exlecon') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') + .with_column(Column('lr_vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlgeo', from_loa='country_year', from_column='vdem_v2xpe_exlgeo') + .with_column(Column('lr_vdem_v2xpe_exlgeo', from_loa='country_year', from_column='vdem_v2xpe_exlgeo') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlgender', from_loa='country_year', from_column='vdem_v2xpe_exlgender') + .with_column(Column('lr_vdem_v2xpe_exlgender', from_loa='country_year', from_column='vdem_v2xpe_exlgender') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xps_party', from_loa='country_year', from_column='vdem_v2xps_party') + .with_column(Column('lr_vdem_v2xps_party', from_loa='country_year', from_column='vdem_v2xps_party') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcs_ccsi', from_loa='country_year', from_column='vdem_v2xcs_ccsi') + .with_column(Column('lr_vdem_v2xcs_ccsi', from_loa='country_year', from_column='vdem_v2xcs_ccsi') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xnp_pres', from_loa='country_year', from_column='vdem_v2xnp_pres') + .with_column(Column('lr_vdem_v2xnp_pres', from_loa='country_year', from_column='vdem_v2xnp_pres') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqaccess', from_loa='country_year', from_column='vdem_v2xeg_eqaccess') + .with_column(Column('lr_vdem_v2xeg_eqaccess', from_loa='country_year', from_column='vdem_v2xeg_eqaccess') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_diagacc', from_loa='country_year', from_column='vdem_v2x_diagacc') + .with_column(Column('lr_vdem_v2x_diagacc', from_loa='country_year', from_column='vdem_v2x_diagacc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2clrgunev', from_loa='country_year', from_column='vdem_v2clrgunev') + .with_column(Column('lr_vdem_v2clrgunev', from_loa='country_year', from_column='vdem_v2clrgunev') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -565,21 +565,21 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_tokens_t13', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t13', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -601,231 +601,231 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t1', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t1', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t2', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t2', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t13', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t13', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t1', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t1', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t2', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t2', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t13', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t13', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t1', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t1', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t2', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t2', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t13', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t13', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t1', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t1', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t2', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t2', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t13', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t13', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t1', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t1', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t2', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t2', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t13', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t13', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t1', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t1', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t2', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t2', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t13', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t13', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t1', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t1', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t2', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t2', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t13', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t13', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t1', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t1', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t2', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t2', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t13', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t13', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -833,231 +833,231 @@ def generate(): ) - .with_column(Column('topic_ste_theta11_stock_t1', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t1', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t2', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t2', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t13', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t13', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t1', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t1', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t2', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t2', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t13', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t13', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t1', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t1', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t2', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t2', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t13', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t13', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t1', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t1', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t2', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t2', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t13', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t13', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_splag_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') + .with_column(Column('lr_splag_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_splag_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') + .with_column(Column('lr_splag_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('agr_withdrawal_pct_t48', from_loa='country_year', from_column='agr_withdrawal_pct') + .with_column(Column('lr_agr_withdrawal_pct_t48', from_loa='country_year', from_column='agr_withdrawal_pct') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('dam_cap_pcap_t48', from_loa='country_year', from_column='dam_cap_pcap') + .with_column(Column('lr_dam_cap_pcap_t48', from_loa='country_year', from_column='dam_cap_pcap') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('groundwater_export_t48', from_loa='country_year', from_column='groundwater_export') + .with_column(Column('lr_groundwater_export_t48', from_loa='country_year', from_column='groundwater_export') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('fresh_withdrawal_pct_t48', from_loa='country_year', from_column='fresh_withdrawal_pct') + .with_column(Column('lr_fresh_withdrawal_pct_t48', from_loa='country_year', from_column='fresh_withdrawal_pct') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('ind_efficiency_t48', from_loa='country_year', from_column='ind_efficiency') + .with_column(Column('lr_ind_efficiency_t48', from_loa='country_year', from_column='ind_efficiency') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('irr_agr_efficiency_t48', from_loa='country_year', from_column='irr_agr_efficiency') + .with_column(Column('lr_irr_agr_efficiency_t48', from_loa='country_year', from_column='irr_agr_efficiency') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('services_efficiency_t48', from_loa='country_year', from_column='services_efficiency') + .with_column(Column('lr_services_efficiency_t48', from_loa='country_year', from_column='services_efficiency') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('general_efficiency_t48', from_loa='country_year', from_column='general_efficiency') + .with_column(Column('lr_general_efficiency_t48', from_loa='country_year', from_column='general_efficiency') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('water_stress_t48', from_loa='country_year', from_column='water_stress') + .with_column(Column('lr_water_stress_t48', from_loa='country_year', from_column='water_stress') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('renewable_internal_pcap_t48', from_loa='country_year', from_column='renewable_internal_pcap') + .with_column(Column('lr_renewable_internal_pcap_t48', from_loa='country_year', from_column='renewable_internal_pcap') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('renewable_pcap_t48', from_loa='country_year', from_column='renewable_pcap') + .with_column(Column('lr_renewable_pcap_t48', from_loa='country_year', from_column='renewable_pcap') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1065,7 +1065,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1073,7 +1073,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -1081,7 +1081,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -1089,7 +1089,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -1097,7 +1097,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1105,7 +1105,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -1113,7 +1113,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') + .with_column(Column('lr_decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1121,7 +1121,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1129,7 +1129,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') + .with_column(Column('lr_decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1137,7 +1137,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1146,7 +1146,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1155,7 +1155,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -1164,7 +1164,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1_splag', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1_splag', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1173,7 +1173,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta0_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1182,7 +1182,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta1_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1191,7 +1191,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1200,7 +1200,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta3_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1209,7 +1209,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1218,7 +1218,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta5_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1227,7 +1227,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta6_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1236,7 +1236,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta7_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1245,7 +1245,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta8_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1254,7 +1254,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta9_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1263,7 +1263,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta10_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1272,7 +1272,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta11_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1281,7 +1281,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta12_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1290,7 +1290,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta13_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -1299,7 +1299,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta14_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) diff --git a/models/blank_space/configs/config_queryset.py b/models/blank_space/configs/config_queryset.py index 2d363b8..e80dc5d 100644 --- a/models/blank_space/configs/config_queryset.py +++ b/models/blank_space/configs/config_queryset.py @@ -14,57 +14,57 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('imr_mean', from_loa='priogrid_year', from_column='imr_mean') + .with_column(Column('lr_imr_mean', from_loa='priogrid_year', from_column='imr_mean') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('mountains_mean', from_loa='priogrid_year', from_column='mountains_mean') + .with_column(Column('lr_mountains_mean', from_loa='priogrid_year', from_column='mountains_mean') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('dist_diamsec', from_loa='priogrid', from_column='dist_diamsec_s_wgs') + .with_column(Column('lr_dist_diamsec', from_loa='priogrid', from_column='dist_diamsec_s_wgs') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('dist_petroleum', from_loa='priogrid', from_column='dist_petroleum_s_wgs') + .with_column(Column('lr_dist_petroleum', from_loa='priogrid', from_column='dist_petroleum_s_wgs') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('agri_ih', from_loa='priogrid_year', from_column='agri_ih') + .with_column(Column('lr_agri_ih', from_loa='priogrid_year', from_column='agri_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('barren_ih', from_loa='priogrid_year', from_column='barren_ih') + .with_column(Column('lr_barren_ih', from_loa='priogrid_year', from_column='barren_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('forest_ih', from_loa='priogrid_year', from_column='forest_ih') + .with_column(Column('lr_forest_ih', from_loa='priogrid_year', from_column='forest_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('pasture_ih', from_loa='priogrid_year', from_column='pasture_ih') + .with_column(Column('lr_pasture_ih', from_loa='priogrid_year', from_column='pasture_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('savanna_ih', from_loa='priogrid_year', from_column='savanna_ih') + .with_column(Column('lr_savanna_ih', from_loa='priogrid_year', from_column='savanna_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('shrub_ih', from_loa='priogrid_year', from_column='shrub_ih') + .with_column(Column('lr_shrub_ih', from_loa='priogrid_year', from_column='shrub_ih') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('urban_ih', from_loa='priogrid_year', from_column='urban_ih') + .with_column(Column('lr_urban_ih', from_loa='priogrid_year', from_column='urban_ih') .transform.missing.fill() .transform.missing.replace_na() ) @@ -99,13 +99,13 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('greq_1_excluded', from_loa='priogrid_year', from_column='excluded') + .with_column(Column('lr_greq_1_excluded', from_loa='priogrid_year', from_column='excluded') .transform.bool.gte(1) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -113,7 +113,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -121,7 +121,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -129,7 +129,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -138,7 +138,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/brown_cheese/configs/config_queryset.py b/models/brown_cheese/configs/config_queryset.py index 853185d..d5797e3 100644 --- a/models/brown_cheese/configs/config_queryset.py +++ b/models/brown_cheese/configs/config_queryset.py @@ -21,14 +21,14 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -36,7 +36,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -44,7 +44,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/car_radio/configs/config_queryset.py b/models/car_radio/configs/config_queryset.py index ae9ed83..9e0f5f3 100644 --- a/models/car_radio/configs/config_queryset.py +++ b/models/car_radio/configs/config_queryset.py @@ -23,350 +23,350 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_tokens_t13', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t13', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t1', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t1', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t2', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t2', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t13', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t13', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t1', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t1', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t2', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t2', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t13', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t13', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t1', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t1', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t2', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t2', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t13', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t13', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t1', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t1', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t2', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t2', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t13', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t13', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t1', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t1', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t2', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t2', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t13', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t13', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t1', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t1', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t2', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t2', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t13', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t13', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t1', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t1', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t2', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t2', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t13', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t13', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t1', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t1', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t2', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t2', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t13', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t13', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t1', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t1', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t2', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t2', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t13', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t13', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t1', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t1', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t2', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t2', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t13', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t13', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t1', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t1', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t2', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t2', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t13', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t13', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t1', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t1', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t2', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t2', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t13', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t13', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -374,7 +374,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -382,7 +382,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -391,7 +391,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1_splag', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1_splag', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -400,7 +400,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta0_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -409,7 +409,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta1_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -418,7 +418,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -427,7 +427,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta3_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -436,7 +436,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -445,7 +445,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta5_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -454,7 +454,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta6_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -463,7 +463,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta7_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -472,7 +472,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta8_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -481,7 +481,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta9_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -490,7 +490,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta10_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -499,7 +499,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta11_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -508,7 +508,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta12_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -517,7 +517,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta13_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -526,7 +526,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta14_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) diff --git a/models/caring_fish/configs/config_queryset.py b/models/caring_fish/configs/config_queryset.py index cafe495..c329f8e 100644 --- a/models/caring_fish/configs/config_queryset.py +++ b/models/caring_fish/configs/config_queryset.py @@ -45,37 +45,37 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('mov_avg_6_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('ln_mov_avg_6_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.ops.ln() .transform.missing.fill() .transform.temporal.moving_average(6) ) - .with_column(Column('mov_avg_12_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('ln_mov_avg_12_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.ops.ln() .transform.missing.fill() .transform.temporal.moving_average(12) ) - .with_column(Column('mov_avg_36_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('ln_mov_avg_36_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.ops.ln() .transform.missing.fill() .transform.temporal.moving_average(36) ) - .with_column(Column('mov_sum_6_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('ln_mov_sum_6_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.ops.ln() .transform.missing.fill() .transform.temporal.moving_sum(6) ) - .with_column(Column('mov_sum_12_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('ln_mov_sum_12_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.ops.ln() .transform.missing.fill() .transform.temporal.moving_sum(12) ) - .with_column(Column('mov_sum_36_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('ln_mov_sum_36_ged_best_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.ops.ln() .transform.missing.fill() .transform.temporal.moving_sum(36) diff --git a/models/chunky_cat/configs/config_queryset.py b/models/chunky_cat/configs/config_queryset.py index 1a42751..87bc80f 100644 --- a/models/chunky_cat/configs/config_queryset.py +++ b/models/chunky_cat/configs/config_queryset.py @@ -8,17 +8,17 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) @@ -29,7 +29,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -37,7 +37,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -45,7 +45,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -53,7 +53,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -61,7 +61,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -69,7 +69,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_25', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_25', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -77,7 +77,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_100', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_100', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -85,7 +85,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_500', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_500', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -93,7 +93,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -101,7 +101,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_25', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_25', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -109,7 +109,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_100', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_100', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -117,7 +117,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_500', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_500', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -125,7 +125,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -134,7 +134,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/counting_stars/configs/config_queryset.py b/models/counting_stars/configs/config_queryset.py index 1162af6..7b6b869 100644 --- a/models/counting_stars/configs/config_queryset.py +++ b/models/counting_stars/configs/config_queryset.py @@ -13,7 +13,17 @@ def generate(): # VIEWSER 6, Example configuration. Modify as needed. queryset = (Queryset('fatalities003_conflict_history_long','country_month') - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('ln_ged_sb_dep', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .transform.ops.ln() + .transform.missing.fill() + ) + + .with_column(Column('ln_ged_sb', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .transform.ops.ln() + .transform.missing.fill() + ) + + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') ) .with_column(Column('ln_ged_ns', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') @@ -41,22 +51,22 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('splag_1_ged_sb', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_ged_sb', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.countrylag(1,1,0,0) ) - .with_column(Column('splag_2_ged_sb', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_2_ged_sb', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.countrylag(1,2,0,0) ) - .with_column(Column('splag_1_ged_os', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_splag_1_ged_os', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.countrylag(1,1,0,0) ) - .with_column(Column('splag_1_ged_ns', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_splag_1_ged_ns', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.countrylag(1,1,0,0) ) @@ -91,17 +101,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('ln_ged_sb_dep', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') - .transform.ops.ln() - .transform.missing.fill() - ) - - .with_column(Column('ln_ged_sb', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') - .transform.ops.ln() - .transform.missing.fill() - ) - - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -241,7 +241,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -249,7 +249,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -257,7 +257,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -265,7 +265,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -273,7 +273,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -281,7 +281,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -289,7 +289,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -297,7 +297,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') + .with_column(Column('lr_decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -305,7 +305,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -313,7 +313,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') + .with_column(Column('lr_decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -321,7 +321,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_1', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_1', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -329,7 +329,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_25', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_25', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -337,7 +337,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_1', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_1', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -345,7 +345,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_25', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_25', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -353,7 +353,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_500', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_500', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -361,7 +361,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_1', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_1', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -369,7 +369,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_25', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_25', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -377,7 +377,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_500', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_500', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -385,7 +385,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -394,7 +394,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -403,7 +403,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -412,7 +412,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -421,7 +421,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -430,7 +430,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() diff --git a/models/dark_paradise/configs/config_queryset.py b/models/dark_paradise/configs/config_queryset.py index 7dedbf0..51fa8ec 100644 --- a/models/dark_paradise/configs/config_queryset.py +++ b/models/dark_paradise/configs/config_queryset.py @@ -9,17 +9,17 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) @@ -30,7 +30,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -38,7 +38,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -46,7 +46,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -54,7 +54,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -62,7 +62,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -70,7 +70,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_25', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_25', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -78,7 +78,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_100', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_100', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -86,7 +86,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_500', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_500', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -94,7 +94,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -102,7 +102,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_25', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_25', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -110,7 +110,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_100', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_100', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -118,7 +118,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_500', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_500', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -126,7 +126,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -135,7 +135,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/demon_days/configs/config_queryset.py b/models/demon_days/configs/config_queryset.py index 27be9ee..ef3a4c0 100644 --- a/models/demon_days/configs/config_queryset.py +++ b/models/demon_days/configs/config_queryset.py @@ -23,223 +23,223 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('consumer_prices_food_indices', from_loa='country_month', from_column='consumer_prices_food_indices') + .with_column(Column('lr_consumer_prices_food_indices', from_loa='country_month', from_column='consumer_prices_food_indices') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('consumer_prices_general_indices', from_loa='country_month', from_column='consumer_prices_general_indices') + .with_column(Column('lr_consumer_prices_general_indices', from_loa='country_month', from_column='consumer_prices_general_indices') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('food_price_inflation', from_loa='country_month', from_column='food_price_inflation') + .with_column(Column('lr_food_price_inflation', from_loa='country_month', from_column='food_price_inflation') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('avg_adequate_diet', from_loa='country_year', from_column='avg_adequate_diet') + .with_column(Column('lr_avg_adequate_diet', from_loa='country_year', from_column='avg_adequate_diet') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('avg_animalprotein_pcap_day', from_loa='country_year', from_column='avg_animalprotein_pcap_day') + .with_column(Column('lr_avg_animalprotein_pcap_day', from_loa='country_year', from_column='avg_animalprotein_pcap_day') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('avg_fprod_value', from_loa='country_year', from_column='avg_fprod_value') + .with_column(Column('lr_avg_fprod_value', from_loa='country_year', from_column='avg_fprod_value') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('avg_protein_pcap_day', from_loa='country_year', from_column='avg_protein_pcap_day') + .with_column(Column('lr_avg_protein_pcap_day', from_loa='country_year', from_column='avg_protein_pcap_day') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('gdp_pc_ppp', from_loa='country_year', from_column='gdp_pc_ppp') + .with_column(Column('lr_gdp_pc_ppp', from_loa='country_year', from_column='gdp_pc_ppp') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('kcal_pcap_day', from_loa='country_year', from_column='kcal_pcap_day') + .with_column(Column('lr_kcal_pcap_day', from_loa='country_year', from_column='kcal_pcap_day') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('kcal_pcap_day_cerotu', from_loa='country_year', from_column='kcal_pcap_day_cerotu') + .with_column(Column('lr_kcal_pcap_day_cerotu', from_loa='country_year', from_column='kcal_pcap_day_cerotu') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pcap_fprod_var', from_loa='country_year', from_column='pcap_fprod_var') + .with_column(Column('lr_pcap_fprod_var', from_loa='country_year', from_column='pcap_fprod_var') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pcap_fsupply_var', from_loa='country_year', from_column='pcap_fsupply_var') + .with_column(Column('lr_pcap_fsupply_var', from_loa='country_year', from_column='pcap_fsupply_var') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_arable_land', from_loa='country_year', from_column='pct_arable_land') + .with_column(Column('lr_pct_arable_land', from_loa='country_year', from_column='pct_arable_land') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_cereal_import', from_loa='country_year', from_column='pct_cereal_import') + .with_column(Column('lr_pct_cereal_import', from_loa='country_year', from_column='pct_cereal_import') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_fimport_merch', from_loa='country_year', from_column='pct_fimport_merch') + .with_column(Column('lr_pct_fimport_merch', from_loa='country_year', from_column='pct_fimport_merch') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_modsevere_finsecurity', from_loa='country_year', from_column='pct_modsevere_finsecurity') + .with_column(Column('lr_pct_modsevere_finsecurity', from_loa='country_year', from_column='pct_modsevere_finsecurity') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_pop_basicdrink', from_loa='country_year', from_column='pct_pop_basicdrink') + .with_column(Column('lr_pct_pop_basicdrink', from_loa='country_year', from_column='pct_pop_basicdrink') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_pop_basicsani', from_loa='country_year', from_column='pct_pop_basicsani') + .with_column(Column('lr_pct_pop_basicsani', from_loa='country_year', from_column='pct_pop_basicsani') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_pop_safedrink', from_loa='country_year', from_column='pct_pop_safedrink') + .with_column(Column('lr_pct_pop_safedrink', from_loa='country_year', from_column='pct_pop_safedrink') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_pop_safesani', from_loa='country_year', from_column='pct_pop_safesani') + .with_column(Column('lr_pct_pop_safesani', from_loa='country_year', from_column='pct_pop_safesani') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_severe_finsecurity', from_loa='country_year', from_column='pct_severe_finsecurity') + .with_column(Column('lr_pct_severe_finsecurity', from_loa='country_year', from_column='pct_severe_finsecurity') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_und5_overweight', from_loa='country_year', from_column='pct_und5_overweight') + .with_column(Column('lr_pct_und5_overweight', from_loa='country_year', from_column='pct_und5_overweight') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_und5_stunted', from_loa='country_year', from_column='pct_und5_stunted') + .with_column(Column('lr_pct_und5_stunted', from_loa='country_year', from_column='pct_und5_stunted') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_und5_wasting', from_loa='country_year', from_column='pct_und5_wasting') + .with_column(Column('lr_pct_und5_wasting', from_loa='country_year', from_column='pct_und5_wasting') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pct_undernourished', from_loa='country_year', from_column='pct_undernourished') + .with_column(Column('lr_pct_undernourished', from_loa='country_year', from_column='pct_undernourished') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pol_stability', from_loa='country_year', from_column='pol_stability') + .with_column(Column('lr_pol_stability', from_loa='country_year', from_column='pol_stability') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pop_modsevere_finsecurity', from_loa='country_year', from_column='pop_modsevere_finsecurity') + .with_column(Column('lr_pop_modsevere_finsecurity', from_loa='country_year', from_column='pop_modsevere_finsecurity') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pop_severe_finsecurity', from_loa='country_year', from_column='pop_severe_finsecurity') + .with_column(Column('lr_pop_severe_finsecurity', from_loa='country_year', from_column='pop_severe_finsecurity') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('pop_undernourished', from_loa='country_year', from_column='pop_undernourished') + .with_column(Column('lr_pop_undernourished', from_loa='country_year', from_column='pop_undernourished') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('prev_adult_obesity', from_loa='country_year', from_column='prev_adult_obesity') + .with_column(Column('lr_prev_adult_obesity', from_loa='country_year', from_column='prev_adult_obesity') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('prev_infant_bfeed', from_loa='country_year', from_column='prev_infant_bfeed') + .with_column(Column('lr_prev_infant_bfeed', from_loa='country_year', from_column='prev_infant_bfeed') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('prev_lowbweight', from_loa='country_year', from_column='prev_lowbweight') + .with_column(Column('lr_prev_lowbweight', from_loa='country_year', from_column='prev_lowbweight') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('prev_repr_anemia', from_loa='country_year', from_column='prev_repr_anemia') + .with_column(Column('lr_prev_repr_anemia', from_loa='country_year', from_column='prev_repr_anemia') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('rail_density', from_loa='country_year', from_column='rail_density') + .with_column(Column('lr_rail_density', from_loa='country_year', from_column='rail_density') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -247,7 +247,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -255,7 +255,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/electric_relaxation/configs/config_queryset.py b/models/electric_relaxation/configs/config_queryset.py index af8ca51..d1c470c 100644 --- a/models/electric_relaxation/configs/config_queryset.py +++ b/models/electric_relaxation/configs/config_queryset.py @@ -11,48 +11,48 @@ def generate(): qs_cm_cflong = (Queryset("escwa001_cflong", "country_month") # target variable - .with_column(Column("ged_sb_dep", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_ged_sb_dep", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() ) # timelag 0 of target variable - .with_column(Column("ged_sb_dummy_t0", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_ged_sb_dummy_t0", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() ) # further timelags of target variable # sb - .with_column(Column("ged_sb_dummy_t1", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_ged_sb_dummy_t1", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column("ged_sb_dummy_t2", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_ged_sb_dummy_t2", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column("ged_sb_dummy_t3", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_ged_sb_dummy_t3", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(3) .transform.missing.fill() ) - .with_column(Column("ged_sb_dummy_t4", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_ged_sb_dummy_t4", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(4) .transform.missing.fill() ) - .with_column(Column("ged_sb_dummy_t5", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_ged_sb_dummy_t5", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(5) .transform.missing.fill() ) - .with_column(Column("ged_sb_dummy_t6", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_ged_sb_dummy_t6", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(6) @@ -60,82 +60,82 @@ def generate(): ) # os - .with_column(Column("ged_os_dummy_t0", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_ged_os_dummy_t0", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() ) - .with_column(Column("ged_os_dummy_t1", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_ged_os_dummy_t1", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column("ged_os_dummy_t2", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_ged_os_dummy_t2", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column("ged_os_dummy_t3", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_ged_os_dummy_t3", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(3) .transform.missing.fill() ) - .with_column(Column("ged_os_dummy_t4", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_ged_os_dummy_t4", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(4) .transform.missing.fill() ) - .with_column(Column("ged_os_dummy_t5", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_ged_os_dummy_t5", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(5) .transform.missing.fill() ) - .with_column(Column("ged_os_dummy_t6", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_ged_os_dummy_t6", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(6) .transform.missing.fill() ) # ns - .with_column(Column("ged_ns_dummy_t0", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_ged_ns_dummy_t0", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() ) - .with_column(Column("ged_ns_dummy_t1", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_ged_ns_dummy_t1", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column("ged_ns_dummy_t2", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_ged_ns_dummy_t2", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column("ged_ns_dummy_t3", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_ged_ns_dummy_t3", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(3) .transform.missing.fill() ) - .with_column(Column("ged_ns_dummy_t4", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_ged_ns_dummy_t4", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(4) .transform.missing.fill() ) - .with_column(Column("ged_ns_dummy_t5", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_ged_ns_dummy_t5", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(5) .transform.missing.fill() ) - .with_column(Column("ged_ns_dummy_t6", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_ged_ns_dummy_t6", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.bool.gte(25) .transform.missing.fill() .transform.temporal.tlag(6) @@ -143,35 +143,35 @@ def generate(): ) # Decay functions # sb - .with_column(Column("decay_ged_sb_1", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_decay_ged_sb_1", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_sb_5", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_decay_ged_sb_5", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_sb_25", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_decay_ged_sb_25", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_sb_100", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_decay_ged_sb_100", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_sb_500", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") + .with_column(Column("lr_decay_ged_sb_500", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -180,28 +180,28 @@ def generate(): ) # os - .with_column(Column("decay_ged_os_1", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_decay_ged_os_1", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_os_5", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_decay_ged_os_5", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_os_25", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_decay_ged_os_25", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_os_100", from_loa="country_month", from_column="ged_os_best_sum_nokgi") + .with_column(Column("lr_decay_ged_os_100", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -210,28 +210,28 @@ def generate(): ) # ns - .with_column(Column("decay_ged_ns_1", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_decay_ged_ns_1", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_ns_5", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_decay_ged_ns_5", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_ns_25", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_decay_ged_ns_25", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() .transform.temporal.decay(24) .transform.missing.replace_na() ) - .with_column(Column("decay_ged_ns_100", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") + .with_column(Column("lr_decay_ged_ns_100", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -241,7 +241,7 @@ def generate(): # Spatial lag decay functions # sb - .with_column(Column("splag_1_decay_ged_sb_25", from_loa="country_month", + .with_column(Column("lr_splag_1_decay_ged_sb_25", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(25) @@ -251,7 +251,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column("splag_1_decay_ged_sb_500", from_loa="country_month", + .with_column(Column("lr_splag_1_decay_ged_sb_500", from_loa="country_month", from_column="ged_sb_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(500) @@ -261,7 +261,7 @@ def generate(): .transform.missing.replace_na() ) # os - .with_column(Column("splag_1_decay_ged_os_25", from_loa="country_month", + .with_column(Column("lr_splag_1_decay_ged_os_25", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(25) @@ -270,7 +270,7 @@ def generate(): .transform.spatial.countrylag(1, 1, 0, 0) .transform.missing.replace_na() ) - .with_column(Column("splag_1_decay_ged_os_500", from_loa="country_month", + .with_column(Column("lr_splag_1_decay_ged_os_500", from_loa="country_month", from_column="ged_os_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(500) @@ -280,7 +280,7 @@ def generate(): .transform.missing.replace_na() ) # ns - .with_column(Column("splag_1_decay_ged_ns_25", from_loa="country_month", + .with_column(Column("lr_splag_1_decay_ged_ns_25", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(25) @@ -289,7 +289,7 @@ def generate(): .transform.spatial.countrylag(1, 1, 0, 0) .transform.missing.replace_na() ) - .with_column(Column("splag_1_decay_ged_ns_500", from_loa="country_month", + .with_column(Column("lr_splag_1_decay_ged_ns_500", from_loa="country_month", from_column="ged_ns_best_sum_nokgi") .transform.missing.replace_na() .transform.bool.gte(500) diff --git a/models/fast_car/configs/config_queryset.py b/models/fast_car/configs/config_queryset.py index fd651bb..3fad9d1 100644 --- a/models/fast_car/configs/config_queryset.py +++ b/models/fast_car/configs/config_queryset.py @@ -23,367 +23,367 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('vdem_v2x_delibdem', from_loa='country_year', from_column='vdem_v2x_delibdem') + .with_column(Column('lr_vdem_v2x_delibdem', from_loa='country_year', from_column='vdem_v2x_delibdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_egaldem', from_loa='country_year', from_column='vdem_v2x_egaldem') + .with_column(Column('lr_vdem_v2x_egaldem', from_loa='country_year', from_column='vdem_v2x_egaldem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') + .with_column(Column('lr_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_libdem_48', from_loa='country_year', from_column='vdem_v2x_libdem') + .with_column(Column('lr_vdem_v2x_libdem_48', from_loa='country_year', from_column='vdem_v2x_libdem') .transform.missing.fill() .transform.temporal.tlag(60) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_partip', from_loa='country_year', from_column='vdem_v2x_partip') + .with_column(Column('lr_vdem_v2x_partip', from_loa='country_year', from_column='vdem_v2x_partip') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_partipdem', from_loa='country_year', from_column='vdem_v2x_partipdem') + .with_column(Column('lr_vdem_v2x_partipdem', from_loa='country_year', from_column='vdem_v2x_partipdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') + .with_column(Column('lr_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_civlib', from_loa='country_year', from_column='vdem_v2x_civlib') + .with_column(Column('lr_vdem_v2x_civlib', from_loa='country_year', from_column='vdem_v2x_civlib') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_clphy', from_loa='country_year', from_column='vdem_v2x_clphy') + .with_column(Column('lr_vdem_v2x_clphy', from_loa='country_year', from_column='vdem_v2x_clphy') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_cspart', from_loa='country_year', from_column='vdem_v2x_cspart') + .with_column(Column('lr_vdem_v2x_cspart', from_loa='country_year', from_column='vdem_v2x_cspart') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_divparctrl', from_loa='country_year', from_column='vdem_v2x_divparctrl') + .with_column(Column('lr_vdem_v2x_divparctrl', from_loa='country_year', from_column='vdem_v2x_divparctrl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_edcomp_thick', from_loa='country_year', from_column='vdem_v2x_edcomp_thick') + .with_column(Column('lr_vdem_v2x_edcomp_thick', from_loa='country_year', from_column='vdem_v2x_edcomp_thick') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_egal', from_loa='country_year', from_column='vdem_v2x_egal') + .with_column(Column('lr_vdem_v2x_egal', from_loa='country_year', from_column='vdem_v2x_egal') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_execorr', from_loa='country_year', from_column='vdem_v2x_execorr') + .with_column(Column('lr_vdem_v2x_execorr', from_loa='country_year', from_column='vdem_v2x_execorr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_frassoc_thick', from_loa='country_year', from_column='vdem_v2x_frassoc_thick') + .with_column(Column('lr_vdem_v2x_frassoc_thick', from_loa='country_year', from_column='vdem_v2x_frassoc_thick') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_gencs', from_loa='country_year', from_column='vdem_v2x_gencs') + .with_column(Column('lr_vdem_v2x_gencs', from_loa='country_year', from_column='vdem_v2x_gencs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_gender', from_loa='country_year', from_column='vdem_v2x_gender') + .with_column(Column('lr_vdem_v2x_gender', from_loa='country_year', from_column='vdem_v2x_gender') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_genpp', from_loa='country_year', from_column='vdem_v2x_genpp') + .with_column(Column('lr_vdem_v2x_genpp', from_loa='country_year', from_column='vdem_v2x_genpp') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_horacc', from_loa='country_year', from_column='vdem_v2x_horacc') + .with_column(Column('lr_vdem_v2x_horacc', from_loa='country_year', from_column='vdem_v2x_horacc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_neopat', from_loa='country_year', from_column='vdem_v2x_neopat') + .with_column(Column('lr_vdem_v2x_neopat', from_loa='country_year', from_column='vdem_v2x_neopat') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_pubcorr', from_loa='country_year', from_column='vdem_v2x_pubcorr') + .with_column(Column('lr_vdem_v2x_pubcorr', from_loa='country_year', from_column='vdem_v2x_pubcorr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_rule', from_loa='country_year', from_column='vdem_v2x_rule') + .with_column(Column('lr_vdem_v2x_rule', from_loa='country_year', from_column='vdem_v2x_rule') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_veracc', from_loa='country_year', from_column='vdem_v2x_veracc') + .with_column(Column('lr_vdem_v2x_veracc', from_loa='country_year', from_column='vdem_v2x_veracc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_ex_military', from_loa='country_year', from_column='vdem_v2x_ex_military') + .with_column(Column('lr_vdem_v2x_ex_military', from_loa='country_year', from_column='vdem_v2x_ex_military') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_ex_party', from_loa='country_year', from_column='vdem_v2x_ex_party') + .with_column(Column('lr_vdem_v2x_ex_party', from_loa='country_year', from_column='vdem_v2x_ex_party') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_freexp', from_loa='country_year', from_column='vdem_v2x_freexp') + .with_column(Column('lr_vdem_v2x_freexp', from_loa='country_year', from_column='vdem_v2x_freexp') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_acjst', from_loa='country_year', from_column='vdem_v2xcl_acjst') + .with_column(Column('lr_vdem_v2xcl_acjst', from_loa='country_year', from_column='vdem_v2xcl_acjst') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_prpty', from_loa='country_year', from_column='vdem_v2xcl_prpty') + .with_column(Column('lr_vdem_v2xcl_prpty', from_loa='country_year', from_column='vdem_v2xcl_prpty') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_slave', from_loa='country_year', from_column='vdem_v2xcl_slave') + .with_column(Column('lr_vdem_v2xcl_slave', from_loa='country_year', from_column='vdem_v2xcl_slave') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xdd_dd', from_loa='country_year', from_column='vdem_v2xdd_dd') + .with_column(Column('lr_vdem_v2xdd_dd', from_loa='country_year', from_column='vdem_v2xdd_dd') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xdl_delib', from_loa='country_year', from_column='vdem_v2xdl_delib') + .with_column(Column('lr_vdem_v2xdl_delib', from_loa='country_year', from_column='vdem_v2xdl_delib') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') + .with_column(Column('lr_vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqprotec', from_loa='country_year', from_column='vdem_v2xeg_eqprotec') + .with_column(Column('lr_vdem_v2xeg_eqprotec', from_loa='country_year', from_column='vdem_v2xeg_eqprotec') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xel_frefair', from_loa='country_year', from_column='vdem_v2xel_frefair') + .with_column(Column('lr_vdem_v2xel_frefair', from_loa='country_year', from_column='vdem_v2xel_frefair') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xel_regelec', from_loa='country_year', from_column='vdem_v2xel_regelec') + .with_column(Column('lr_vdem_v2xel_regelec', from_loa='country_year', from_column='vdem_v2xel_regelec') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xme_altinf', from_loa='country_year', from_column='vdem_v2xme_altinf') + .with_column(Column('lr_vdem_v2xme_altinf', from_loa='country_year', from_column='vdem_v2xme_altinf') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xnp_client', from_loa='country_year', from_column='vdem_v2xnp_client') + .with_column(Column('lr_vdem_v2xnp_client', from_loa='country_year', from_column='vdem_v2xnp_client') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xnp_regcorr', from_loa='country_year', from_column='vdem_v2xnp_regcorr') + .with_column(Column('lr_vdem_v2xnp_regcorr', from_loa='country_year', from_column='vdem_v2xnp_regcorr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlecon', from_loa='country_year', from_column='vdem_v2xpe_exlecon') + .with_column(Column('lr_vdem_v2xpe_exlecon', from_loa='country_year', from_column='vdem_v2xpe_exlecon') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') + .with_column(Column('lr_vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlgeo', from_loa='country_year', from_column='vdem_v2xpe_exlgeo') + .with_column(Column('lr_vdem_v2xpe_exlgeo', from_loa='country_year', from_column='vdem_v2xpe_exlgeo') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlgender', from_loa='country_year', from_column='vdem_v2xpe_exlgender') + .with_column(Column('lr_vdem_v2xpe_exlgender', from_loa='country_year', from_column='vdem_v2xpe_exlgender') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xps_party', from_loa='country_year', from_column='vdem_v2xps_party') + .with_column(Column('lr_vdem_v2xps_party', from_loa='country_year', from_column='vdem_v2xps_party') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcs_ccsi', from_loa='country_year', from_column='vdem_v2xcs_ccsi') + .with_column(Column('lr_vdem_v2xcs_ccsi', from_loa='country_year', from_column='vdem_v2xcs_ccsi') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xnp_pres', from_loa='country_year', from_column='vdem_v2xnp_pres') + .with_column(Column('lr_vdem_v2xnp_pres', from_loa='country_year', from_column='vdem_v2xnp_pres') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqaccess', from_loa='country_year', from_column='vdem_v2xeg_eqaccess') + .with_column(Column('lr_vdem_v2xeg_eqaccess', from_loa='country_year', from_column='vdem_v2xeg_eqaccess') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2x_diagacc', from_loa='country_year', from_column='vdem_v2x_diagacc') + .with_column(Column('lr_vdem_v2x_diagacc', from_loa='country_year', from_column='vdem_v2x_diagacc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2clrgunev', from_loa='country_year', from_column='vdem_v2clrgunev') + .with_column(Column('lr_vdem_v2clrgunev', from_loa='country_year', from_column='vdem_v2clrgunev') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') + .with_column(Column('lr_wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') + .with_column(Column('lr_splag_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_splag_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') + .with_column(Column('lr_splag_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -391,7 +391,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -399,7 +399,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/fluorescent_adolescent/configs/config_queryset.py b/models/fluorescent_adolescent/configs/config_queryset.py index 46edf09..4e7f380 100644 --- a/models/fluorescent_adolescent/configs/config_queryset.py +++ b/models/fluorescent_adolescent/configs/config_queryset.py @@ -18,7 +18,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') .transform.missing.fill() .transform.missing.replace_na() ) @@ -28,90 +28,90 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('reign_tenure_months', from_loa='country_month', from_column='tenure_months') + .with_column(Column('lr_reign_tenure_months', from_loa='country_month', from_column='tenure_months') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') + .with_column(Column('lr_wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') + .with_column(Column('lr_wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') + .with_column(Column('lr_wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') + .with_column(Column('lr_wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') + .with_column(Column('lr_wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') + .with_column(Column('lr_vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') + .with_column(Column('lr_vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -131,42 +131,42 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -174,7 +174,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -182,7 +182,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -190,7 +190,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -198,7 +198,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -206,7 +206,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/good_riddance/configs/config_queryset.py b/models/good_riddance/configs/config_queryset.py index 46edf09..4e7f380 100644 --- a/models/good_riddance/configs/config_queryset.py +++ b/models/good_riddance/configs/config_queryset.py @@ -18,7 +18,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') .transform.missing.fill() .transform.missing.replace_na() ) @@ -28,90 +28,90 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('reign_tenure_months', from_loa='country_month', from_column='tenure_months') + .with_column(Column('lr_reign_tenure_months', from_loa='country_month', from_column='tenure_months') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') + .with_column(Column('lr_wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') + .with_column(Column('lr_wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') + .with_column(Column('lr_wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') + .with_column(Column('lr_wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') + .with_column(Column('lr_wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') + .with_column(Column('lr_vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') + .with_column(Column('lr_vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -131,42 +131,42 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -174,7 +174,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -182,7 +182,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -190,7 +190,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -198,7 +198,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -206,7 +206,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/green_squirrel/configs/config_queryset.py b/models/green_squirrel/configs/config_queryset.py index bb2497a..3c3b8fe 100644 --- a/models/green_squirrel/configs/config_queryset.py +++ b/models/green_squirrel/configs/config_queryset.py @@ -13,7 +13,7 @@ def generate(): # VIEWSER 6, Example configuration. Modify as needed. queryset = (Queryset('fatalities003_joint_broad','country_month') - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') ) .with_column(Column('ln_ged_sb_dep', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') @@ -58,231 +58,231 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_dt_oda_odat_pc_zs', from_loa='country_year', from_column='wdi_dt_oda_odat_pc_zs') + .with_column(Column('lr_wdi_dt_oda_odat_pc_zs', from_loa='country_year', from_column='wdi_dt_oda_odat_pc_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_ms_mil_xpnd_gd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_gd_zs') + .with_column(Column('lr_wdi_ms_mil_xpnd_gd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_gd_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') + .with_column(Column('lr_wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') + .with_column(Column('lr_wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_se_enr_prim_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prim_fm_zs') + .with_column(Column('lr_wdi_se_enr_prim_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prim_fm_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_urb_totl_in_zs', from_loa='country_year', from_column='wdi_sp_urb_totl_in_zs') + .with_column(Column('lr_wdi_sp_urb_totl_in_zs', from_loa='country_year', from_column='wdi_sp_urb_totl_in_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') + .with_column(Column('lr_wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_dyn_imrt_fe_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_fe_in') + .with_column(Column('lr_wdi_sp_dyn_imrt_fe_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_fe_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_ny_gdp_mktp_kd', from_loa='country_year', from_column='wdi_ny_gdp_mktp_kd') + .with_column(Column('lr_wdi_ny_gdp_mktp_kd', from_loa='country_year', from_column='wdi_ny_gdp_mktp_kd') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sh_sta_stnt_zs', from_loa='country_year', from_column='wdi_sh_sta_stnt_zs') + .with_column(Column('lr_wdi_sh_sta_stnt_zs', from_loa='country_year', from_column='wdi_sh_sta_stnt_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_horacc', from_loa='country_year', from_column='vdem_v2x_horacc') + .with_column(Column('lr_vdem_v2x_horacc', from_loa='country_year', from_column='vdem_v2x_horacc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xnp_client', from_loa='country_year', from_column='vdem_v2xnp_client') + .with_column(Column('lr_vdem_v2xnp_client', from_loa='country_year', from_column='vdem_v2xnp_client') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_veracc', from_loa='country_year', from_column='vdem_v2x_veracc') + .with_column(Column('lr_vdem_v2x_veracc', from_loa='country_year', from_column='vdem_v2x_veracc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_divparctrl', from_loa='country_year', from_column='vdem_v2x_divparctrl') + .with_column(Column('lr_vdem_v2x_divparctrl', from_loa='country_year', from_column='vdem_v2x_divparctrl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') + .with_column(Column('lr_vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_diagacc', from_loa='country_year', from_column='vdem_v2x_diagacc') + .with_column(Column('lr_vdem_v2x_diagacc', from_loa='country_year', from_column='vdem_v2x_diagacc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xpe_exlgeo', from_loa='country_year', from_column='vdem_v2xpe_exlgeo') + .with_column(Column('lr_vdem_v2xpe_exlgeo', from_loa='country_year', from_column='vdem_v2xpe_exlgeo') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xpe_exlgender', from_loa='country_year', from_column='vdem_v2xpe_exlgender') + .with_column(Column('lr_vdem_v2xpe_exlgender', from_loa='country_year', from_column='vdem_v2xpe_exlgender') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_ex_party', from_loa='country_year', from_column='vdem_v2x_ex_party') + .with_column(Column('lr_vdem_v2x_ex_party', from_loa='country_year', from_column='vdem_v2x_ex_party') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_genpp', from_loa='country_year', from_column='vdem_v2x_genpp') + .with_column(Column('lr_vdem_v2x_genpp', from_loa='country_year', from_column='vdem_v2x_genpp') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') + .with_column(Column('lr_vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xcl_prpty', from_loa='country_year', from_column='vdem_v2xcl_prpty') + .with_column(Column('lr_vdem_v2xcl_prpty', from_loa='country_year', from_column='vdem_v2xcl_prpty') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xeg_eqprotec', from_loa='country_year', from_column='vdem_v2xeg_eqprotec') + .with_column(Column('lr_vdem_v2xeg_eqprotec', from_loa='country_year', from_column='vdem_v2xeg_eqprotec') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_ex_military', from_loa='country_year', from_column='vdem_v2x_ex_military') + .with_column(Column('lr_vdem_v2x_ex_military', from_loa='country_year', from_column='vdem_v2x_ex_military') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_clphy', from_loa='country_year', from_column='vdem_v2x_clphy') + .with_column(Column('lr_vdem_v2x_clphy', from_loa='country_year', from_column='vdem_v2x_clphy') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_hosabort', from_loa='country_year', from_column='vdem_v2x_hosabort') + .with_column(Column('lr_vdem_v2x_hosabort', from_loa='country_year', from_column='vdem_v2x_hosabort') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xnp_regcorr', from_loa='country_year', from_column='vdem_v2xnp_regcorr') + .with_column(Column('lr_vdem_v2xnp_regcorr', from_loa='country_year', from_column='vdem_v2xnp_regcorr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -345,7 +345,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) @@ -353,7 +353,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) @@ -361,7 +361,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) @@ -369,7 +369,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) @@ -377,7 +377,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -385,7 +385,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) @@ -393,7 +393,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) @@ -401,7 +401,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -409,70 +409,70 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_splag_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') + .with_column(Column('lr_splag_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_splag_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') + .with_column(Column('lr_splag_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -480,7 +480,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -488,7 +488,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -496,7 +496,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -504,7 +504,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -512,7 +512,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -520,7 +520,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -528,7 +528,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') + .with_column(Column('lr_decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -536,7 +536,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -544,7 +544,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') + .with_column(Column('lr_decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -552,7 +552,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -561,7 +561,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -570,7 +570,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -579,7 +579,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -588,7 +588,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) diff --git a/models/heavy_rotation/configs/config_queryset.py b/models/heavy_rotation/configs/config_queryset.py index bb2497a..3c3b8fe 100644 --- a/models/heavy_rotation/configs/config_queryset.py +++ b/models/heavy_rotation/configs/config_queryset.py @@ -13,7 +13,7 @@ def generate(): # VIEWSER 6, Example configuration. Modify as needed. queryset = (Queryset('fatalities003_joint_broad','country_month') - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') ) .with_column(Column('ln_ged_sb_dep', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') @@ -58,231 +58,231 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_dt_oda_odat_pc_zs', from_loa='country_year', from_column='wdi_dt_oda_odat_pc_zs') + .with_column(Column('lr_wdi_dt_oda_odat_pc_zs', from_loa='country_year', from_column='wdi_dt_oda_odat_pc_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_ms_mil_xpnd_gd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_gd_zs') + .with_column(Column('lr_wdi_ms_mil_xpnd_gd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_gd_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') + .with_column(Column('lr_wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') + .with_column(Column('lr_wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_se_enr_prim_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prim_fm_zs') + .with_column(Column('lr_wdi_se_enr_prim_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prim_fm_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_urb_totl_in_zs', from_loa='country_year', from_column='wdi_sp_urb_totl_in_zs') + .with_column(Column('lr_wdi_sp_urb_totl_in_zs', from_loa='country_year', from_column='wdi_sp_urb_totl_in_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') + .with_column(Column('lr_wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_dyn_imrt_fe_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_fe_in') + .with_column(Column('lr_wdi_sp_dyn_imrt_fe_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_fe_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_ny_gdp_mktp_kd', from_loa='country_year', from_column='wdi_ny_gdp_mktp_kd') + .with_column(Column('lr_wdi_ny_gdp_mktp_kd', from_loa='country_year', from_column='wdi_ny_gdp_mktp_kd') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sh_sta_stnt_zs', from_loa='country_year', from_column='wdi_sh_sta_stnt_zs') + .with_column(Column('lr_wdi_sh_sta_stnt_zs', from_loa='country_year', from_column='wdi_sh_sta_stnt_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_horacc', from_loa='country_year', from_column='vdem_v2x_horacc') + .with_column(Column('lr_vdem_v2x_horacc', from_loa='country_year', from_column='vdem_v2x_horacc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xnp_client', from_loa='country_year', from_column='vdem_v2xnp_client') + .with_column(Column('lr_vdem_v2xnp_client', from_loa='country_year', from_column='vdem_v2xnp_client') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_veracc', from_loa='country_year', from_column='vdem_v2x_veracc') + .with_column(Column('lr_vdem_v2x_veracc', from_loa='country_year', from_column='vdem_v2x_veracc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_divparctrl', from_loa='country_year', from_column='vdem_v2x_divparctrl') + .with_column(Column('lr_vdem_v2x_divparctrl', from_loa='country_year', from_column='vdem_v2x_divparctrl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') + .with_column(Column('lr_vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_diagacc', from_loa='country_year', from_column='vdem_v2x_diagacc') + .with_column(Column('lr_vdem_v2x_diagacc', from_loa='country_year', from_column='vdem_v2x_diagacc') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xpe_exlgeo', from_loa='country_year', from_column='vdem_v2xpe_exlgeo') + .with_column(Column('lr_vdem_v2xpe_exlgeo', from_loa='country_year', from_column='vdem_v2xpe_exlgeo') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xpe_exlgender', from_loa='country_year', from_column='vdem_v2xpe_exlgender') + .with_column(Column('lr_vdem_v2xpe_exlgender', from_loa='country_year', from_column='vdem_v2xpe_exlgender') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_ex_party', from_loa='country_year', from_column='vdem_v2x_ex_party') + .with_column(Column('lr_vdem_v2x_ex_party', from_loa='country_year', from_column='vdem_v2x_ex_party') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_genpp', from_loa='country_year', from_column='vdem_v2x_genpp') + .with_column(Column('lr_vdem_v2x_genpp', from_loa='country_year', from_column='vdem_v2x_genpp') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') + .with_column(Column('lr_vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xcl_prpty', from_loa='country_year', from_column='vdem_v2xcl_prpty') + .with_column(Column('lr_vdem_v2xcl_prpty', from_loa='country_year', from_column='vdem_v2xcl_prpty') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xeg_eqprotec', from_loa='country_year', from_column='vdem_v2xeg_eqprotec') + .with_column(Column('lr_vdem_v2xeg_eqprotec', from_loa='country_year', from_column='vdem_v2xeg_eqprotec') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_ex_military', from_loa='country_year', from_column='vdem_v2x_ex_military') + .with_column(Column('lr_vdem_v2x_ex_military', from_loa='country_year', from_column='vdem_v2x_ex_military') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_clphy', from_loa='country_year', from_column='vdem_v2x_clphy') + .with_column(Column('lr_vdem_v2x_clphy', from_loa='country_year', from_column='vdem_v2x_clphy') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2x_hosabort', from_loa='country_year', from_column='vdem_v2x_hosabort') + .with_column(Column('lr_vdem_v2x_hosabort', from_loa='country_year', from_column='vdem_v2x_hosabort') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('vdem_v2xnp_regcorr', from_loa='country_year', from_column='vdem_v2xnp_regcorr') + .with_column(Column('lr_vdem_v2xnp_regcorr', from_loa='country_year', from_column='vdem_v2xnp_regcorr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -345,7 +345,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) @@ -353,7 +353,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) @@ -361,7 +361,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) @@ -369,7 +369,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) @@ -377,7 +377,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -385,7 +385,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) @@ -393,7 +393,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) @@ -401,7 +401,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -409,70 +409,70 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_splag_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') + .with_column(Column('lr_splag_vdem_v2x_libdem', from_loa='country_year', from_column='vdem_v2x_libdem') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_splag_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') + .with_column(Column('lr_splag_vdem_v2x_accountability', from_loa='country_year', from_column='vdem_v2x_accountability') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -480,7 +480,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -488,7 +488,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -496,7 +496,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -504,7 +504,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -512,7 +512,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -520,7 +520,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -528,7 +528,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') + .with_column(Column('lr_decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -536,7 +536,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -544,7 +544,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') + .with_column(Column('lr_decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -552,7 +552,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -561,7 +561,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -570,7 +570,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -579,7 +579,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -588,7 +588,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) diff --git a/models/high_hopes/configs/config_queryset.py b/models/high_hopes/configs/config_queryset.py index 295f8fd..e200fde 100644 --- a/models/high_hopes/configs/config_queryset.py +++ b/models/high_hopes/configs/config_queryset.py @@ -13,7 +13,7 @@ def generate(): # VIEWSER 6, Example configuration. Modify as needed. queryset = (Queryset('fatalities003_conflict_history','country_month') - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') ) .with_column(Column('ln_ged_sb_dep', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') @@ -51,7 +51,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -114,7 +114,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -122,7 +122,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -130,7 +130,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -138,7 +138,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -146,7 +146,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -154,7 +154,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -162,7 +162,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -170,7 +170,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') + .with_column(Column('lr_decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -178,7 +178,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -186,7 +186,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') + .with_column(Column('lr_decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -194,7 +194,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -203,7 +203,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -212,7 +212,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/invisible_string/configs/config_queryset.py b/models/invisible_string/configs/config_queryset.py index d2166a3..b76f604 100644 --- a/models/invisible_string/configs/config_queryset.py +++ b/models/invisible_string/configs/config_queryset.py @@ -4,19 +4,19 @@ def generate(): qs_broad = (Queryset('fatalities003_pgm_broad','priogrid_month') - .with_column(Column('tlag1_dr_mod_gs', from_loa='priogrid_month', from_column='tlag1_dr_mod_gs') + .with_column(Column('lr_tlag1_dr_mod_gs', from_loa='priogrid_month', from_column='tlag1_dr_mod_gs') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gs_prev10_anom', from_loa='priogrid_month', from_column='spei1_gs_prev10_anom') + .with_column(Column('lr_spei1_gs_prev10_anom', from_loa='priogrid_month', from_column='spei1_gs_prev10_anom') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_crop_sum', from_loa='priogrid_month', from_column='tlag_12_crop_sum') + .with_column(Column('lr_tlag_12_crop_sum', from_loa='priogrid_month', from_column='tlag_12_crop_sum') .transform.missing.replace_na(0) ) - .with_column(Column('spei1gsy_lowermedian_count', from_loa='priogrid_month', from_column='spei1gsy_lowermedian_count') + .with_column(Column('lr_spei1gsy_lowermedian_count', from_loa='priogrid_month', from_column='spei1gsy_lowermedian_count') .transform.missing.replace_na(0) ) @@ -25,52 +25,52 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('treelag_1_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_treelag_1_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,1) ) - .with_column(Column('treelag_2_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_treelag_2_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,2) ) - .with_column(Column('sptime_dist_k1_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k1_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist('distances',1,1.0,0.0) ) - .with_column(Column('sptime_dist_k10_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k10_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist('distances',1,10.0,0.0) ) - .with_column(Column('sptime_dist_k001_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k001_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist('distances',1,0.01,0.0) ) - .with_column(Column('dist_diamsec', from_loa='priogrid', from_column='dist_diamsec_s_wgs') + .with_column(Column('lr_dist_diamsec', from_loa='priogrid', from_column='dist_diamsec_s_wgs') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('imr_mean', from_loa='priogrid_year', from_column='imr_mean') + .with_column(Column('lr_imr_mean', from_loa='priogrid_year', from_column='imr_mean') .transform.missing.fill() .transform.missing.replace_na() ) @@ -99,7 +99,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -107,7 +107,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -115,7 +115,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -123,7 +123,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/lavender_haze/configs/config_queryset.py b/models/lavender_haze/configs/config_queryset.py index d2166a3..b76f604 100644 --- a/models/lavender_haze/configs/config_queryset.py +++ b/models/lavender_haze/configs/config_queryset.py @@ -4,19 +4,19 @@ def generate(): qs_broad = (Queryset('fatalities003_pgm_broad','priogrid_month') - .with_column(Column('tlag1_dr_mod_gs', from_loa='priogrid_month', from_column='tlag1_dr_mod_gs') + .with_column(Column('lr_tlag1_dr_mod_gs', from_loa='priogrid_month', from_column='tlag1_dr_mod_gs') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gs_prev10_anom', from_loa='priogrid_month', from_column='spei1_gs_prev10_anom') + .with_column(Column('lr_spei1_gs_prev10_anom', from_loa='priogrid_month', from_column='spei1_gs_prev10_anom') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_crop_sum', from_loa='priogrid_month', from_column='tlag_12_crop_sum') + .with_column(Column('lr_tlag_12_crop_sum', from_loa='priogrid_month', from_column='tlag_12_crop_sum') .transform.missing.replace_na(0) ) - .with_column(Column('spei1gsy_lowermedian_count', from_loa='priogrid_month', from_column='spei1gsy_lowermedian_count') + .with_column(Column('lr_spei1gsy_lowermedian_count', from_loa='priogrid_month', from_column='spei1gsy_lowermedian_count') .transform.missing.replace_na(0) ) @@ -25,52 +25,52 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('treelag_1_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_treelag_1_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,1) ) - .with_column(Column('treelag_2_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_treelag_2_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,2) ) - .with_column(Column('sptime_dist_k1_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k1_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist('distances',1,1.0,0.0) ) - .with_column(Column('sptime_dist_k10_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k10_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist('distances',1,10.0,0.0) ) - .with_column(Column('sptime_dist_k001_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k001_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist('distances',1,0.01,0.0) ) - .with_column(Column('dist_diamsec', from_loa='priogrid', from_column='dist_diamsec_s_wgs') + .with_column(Column('lr_dist_diamsec', from_loa='priogrid', from_column='dist_diamsec_s_wgs') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('imr_mean', from_loa='priogrid_year', from_column='imr_mean') + .with_column(Column('lr_imr_mean', from_loa='priogrid_year', from_column='imr_mean') .transform.missing.fill() .transform.missing.replace_na() ) @@ -99,7 +99,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -107,7 +107,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -115,7 +115,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -123,7 +123,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/little_lies/configs/config_queryset.py b/models/little_lies/configs/config_queryset.py index 46edf09..4e7f380 100644 --- a/models/little_lies/configs/config_queryset.py +++ b/models/little_lies/configs/config_queryset.py @@ -18,7 +18,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') .transform.missing.fill() .transform.missing.replace_na() ) @@ -28,90 +28,90 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('reign_tenure_months', from_loa='country_month', from_column='tenure_months') + .with_column(Column('lr_reign_tenure_months', from_loa='country_month', from_column='tenure_months') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') + .with_column(Column('lr_wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') + .with_column(Column('lr_wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') + .with_column(Column('lr_wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') + .with_column(Column('lr_wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') + .with_column(Column('lr_wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') + .with_column(Column('lr_vdem_v2xcl_dmove', from_loa='country_year', from_column='vdem_v2xcl_dmove') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') + .with_column(Column('lr_vdem_v2xeg_eqdr', from_loa='country_year', from_column='vdem_v2xeg_eqdr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') + .with_column(Column('lr_vdem_v2xpe_exlpol', from_loa='country_year', from_column='vdem_v2xpe_exlpol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() ) - .with_column(Column('vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -131,42 +131,42 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') + .with_column(Column('lr_splag_vdem_v2xpe_exlsocgr', from_loa='country_year', from_column='vdem_v2xpe_exlsocgr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') + .with_column(Column('lr_splag_vdem_v2xcl_rol', from_loa='country_year', from_column='vdem_v2xcl_rol') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -174,7 +174,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -182,7 +182,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -190,7 +190,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -198,7 +198,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -206,7 +206,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/midnight_rain/configs/config_queryset.py b/models/midnight_rain/configs/config_queryset.py index 7f9498e..e777ae8 100644 --- a/models/midnight_rain/configs/config_queryset.py +++ b/models/midnight_rain/configs/config_queryset.py @@ -12,83 +12,83 @@ def generate(): qs_escwa_drought = (Queryset('fatalities003_pgm_escwa_drought','priogrid_month') - .with_column(Column('pgd_nlights_calib_mean', from_loa='priogrid_year', from_column='nlights_calib_mean') + .with_column(Column('lr_pgd_nlights_calib_mean', from_loa='priogrid_year', from_column='nlights_calib_mean') .transform.missing.replace_na(0) ) - .with_column(Column('pgd_imr_mean', from_loa='priogrid_year', from_column='imr_mean') + .with_column(Column('lr_pgd_imr_mean', from_loa='priogrid_year', from_column='imr_mean') .transform.missing.replace_na(0) ) - .with_column(Column('pgd_urban_ih', from_loa='priogrid_year', from_column='urban_ih') + .with_column(Column('lr_pgd_urban_ih', from_loa='priogrid_year', from_column='urban_ih') .transform.missing.replace_na(0) ) - .with_column(Column('count_moder_drought_prev10', from_loa='priogrid_month', from_column='count_moder_drought_prev10') + .with_column(Column('lr_count_moder_drought_prev10', from_loa='priogrid_month', from_column='count_moder_drought_prev10') .transform.missing.replace_na(0) ) - .with_column(Column('cropprop', from_loa='priogrid_month', from_column='cropprop') + .with_column(Column('lr_cropprop', from_loa='priogrid_month', from_column='cropprop') .transform.missing.replace_na(0) ) - .with_column(Column('growseasdummy', from_loa='priogrid_month', from_column='growseasdummy') + .with_column(Column('lr_growseasdummy', from_loa='priogrid_month', from_column='growseasdummy') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gs_prev10', from_loa='priogrid_month', from_column='spei1_gs_prev10') + .with_column(Column('lr_spei1_gs_prev10', from_loa='priogrid_month', from_column='spei1_gs_prev10') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gs_prev10_anom', from_loa='priogrid_month', from_column='spei1_gs_prev10_anom') + .with_column(Column('lr_spei1_gs_prev10_anom', from_loa='priogrid_month', from_column='spei1_gs_prev10_anom') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gsm_cv_anom', from_loa='priogrid_month', from_column='spei1_gsm_cv_anom') + .with_column(Column('lr_spei1_gsm_cv_anom', from_loa='priogrid_month', from_column='spei1_gsm_cv_anom') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gsm_detrend', from_loa='priogrid_month', from_column='spei1_gsm_detrend') + .with_column(Column('lr_spei1_gsm_detrend', from_loa='priogrid_month', from_column='spei1_gsm_detrend') .transform.missing.replace_na(0) ) - .with_column(Column('spei1gsy_lowermedian_count', from_loa='priogrid_month', from_column='spei1gsy_lowermedian_count') + .with_column(Column('lr_spei1gsy_lowermedian_count', from_loa='priogrid_month', from_column='spei1gsy_lowermedian_count') .transform.missing.replace_na(0) ) - .with_column(Column('spei_48_detrend', from_loa='priogrid_month', from_column='spei_48_detrend') + .with_column(Column('lr_spei_48_detrend', from_loa='priogrid_month', from_column='spei_48_detrend') .transform.missing.replace_na(0) ) - .with_column(Column('tlag1_dr_mod_gs', from_loa='priogrid_month', from_column='tlag1_dr_mod_gs') + .with_column(Column('lr_tlag1_dr_mod_gs', from_loa='priogrid_month', from_column='tlag1_dr_mod_gs') .transform.missing.replace_na(0) ) - .with_column(Column('tlag1_dr_moder_gs', from_loa='priogrid_month', from_column='tlag1_dr_moder_gs') + .with_column(Column('lr_tlag1_dr_moder_gs', from_loa='priogrid_month', from_column='tlag1_dr_moder_gs') .transform.missing.replace_na(0) ) - .with_column(Column('tlag1_dr_sev_gs', from_loa='priogrid_month', from_column='tlag1_dr_sev_gs') + .with_column(Column('lr_tlag1_dr_sev_gs', from_loa='priogrid_month', from_column='tlag1_dr_sev_gs') .transform.missing.replace_na(0) ) - .with_column(Column('tlag1_spei1_gsm', from_loa='priogrid_month', from_column='tlag1_spei1_gsm') + .with_column(Column('lr_tlag1_spei1_gsm', from_loa='priogrid_month', from_column='tlag1_spei1_gsm') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_crop_sum', from_loa='priogrid_month', from_column='tlag_12_crop_sum') + .with_column(Column('lr_tlag_12_crop_sum', from_loa='priogrid_month', from_column='tlag_12_crop_sum') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_harvarea_maincrops', from_loa='priogrid_month', from_column='tlag_12_harvarea_maincrops') + .with_column(Column('lr_tlag_12_harvarea_maincrops', from_loa='priogrid_month', from_column='tlag_12_harvarea_maincrops') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_irr_maincrops', from_loa='priogrid_month', from_column='tlag_12_irr_maincrops') + .with_column(Column('lr_tlag_12_irr_maincrops', from_loa='priogrid_month', from_column='tlag_12_irr_maincrops') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_rainf_maincrops', from_loa='priogrid_month', from_column='tlag_12_rainf_maincrops') + .with_column(Column('lr_tlag_12_rainf_maincrops', from_loa='priogrid_month', from_column='tlag_12_rainf_maincrops') .transform.missing.replace_na(0) ) @@ -102,7 +102,7 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('greq_1_excluded', from_loa='priogrid_year', from_column='excluded') + .with_column(Column('lr_greq_1_excluded', from_loa='priogrid_year', from_column='excluded') .transform.bool.gte(1) .transform.missing.fill() ) @@ -117,13 +117,13 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('wdi_nv_agr_totl_kd', from_loa='country_year', from_column='wdi_nv_agr_totl_kd') + .with_column(Column('lr_wdi_nv_agr_totl_kd', from_loa='country_year', from_column='wdi_nv_agr_totl_kd') .transform.missing.replace_na(0) .transform.temporal.tlag(12) .transform.missing.replace_na(0) ) - .with_column(Column('decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -131,7 +131,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -139,7 +139,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_1', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_1', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/national_anthem/configs/config_queryset.py b/models/national_anthem/configs/config_queryset.py index 012b6cc..e6f6c47 100644 --- a/models/national_anthem/configs/config_queryset.py +++ b/models/national_anthem/configs/config_queryset.py @@ -25,210 +25,210 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_dt_oda_odat_pc_zs', from_loa='country_year', from_column='wdi_dt_oda_odat_pc_zs') + .with_column(Column('lr_wdi_dt_oda_odat_pc_zs', from_loa='country_year', from_column='wdi_dt_oda_odat_pc_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_ms_mil_xpnd_gd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_gd_zs') + .with_column(Column('lr_wdi_ms_mil_xpnd_gd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_gd_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_ms_mil_xpnd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_zs') + .with_column(Column('lr_wdi_ms_mil_xpnd_zs', from_loa='country_year', from_column='wdi_ms_mil_xpnd_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_nv_agr_totl_kd', from_loa='country_year', from_column='wdi_nv_agr_totl_kd') + .with_column(Column('lr_wdi_nv_agr_totl_kd', from_loa='country_year', from_column='wdi_nv_agr_totl_kd') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') + .with_column(Column('lr_wdi_nv_agr_totl_kn', from_loa='country_year', from_column='wdi_nv_agr_totl_kn') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_ny_gdp_pcap_kd', from_loa='country_year', from_column='wdi_ny_gdp_pcap_kd') + .with_column(Column('lr_wdi_ny_gdp_pcap_kd', from_loa='country_year', from_column='wdi_ny_gdp_pcap_kd') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_dyn_le00_in', from_loa='country_year', from_column='wdi_sp_dyn_le00_in') + .with_column(Column('lr_wdi_sp_dyn_le00_in', from_loa='country_year', from_column='wdi_sp_dyn_le00_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_se_enr_prim_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prim_fm_zs') + .with_column(Column('lr_wdi_se_enr_prim_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prim_fm_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_se_enr_prsc_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prsc_fm_zs') + .with_column(Column('lr_wdi_se_enr_prsc_fm_zs', from_loa='country_year', from_column='wdi_se_enr_prsc_fm_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_se_prm_nenr', from_loa='country_year', from_column='wdi_se_prm_nenr') + .with_column(Column('lr_wdi_se_prm_nenr', from_loa='country_year', from_column='wdi_se_prm_nenr') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') + .with_column(Column('lr_wdi_sh_sta_maln_zs', from_loa='country_year', from_column='wdi_sh_sta_maln_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sh_sta_stnt_zs', from_loa='country_year', from_column='wdi_sh_sta_stnt_zs') + .with_column(Column('lr_wdi_sh_sta_stnt_zs', from_loa='country_year', from_column='wdi_sh_sta_stnt_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sm_pop_totl_zs', from_loa='country_year', from_column='wdi_sm_pop_totl_zs') + .with_column(Column('lr_wdi_sm_pop_totl_zs', from_loa='country_year', from_column='wdi_sm_pop_totl_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') + .with_column(Column('lr_wdi_sp_dyn_imrt_in', from_loa='country_year', from_column='wdi_sp_dyn_imrt_in') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sh_dyn_mort_fe', from_loa='country_year', from_column='wdi_sh_dyn_mort_fe') + .with_column(Column('lr_wdi_sh_dyn_mort_fe', from_loa='country_year', from_column='wdi_sh_dyn_mort_fe') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') + .with_column(Column('lr_wdi_sp_pop_14_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_0014_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_1564_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_1564_fe_zs') + .with_column(Column('lr_wdi_sp_pop_1564_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_1564_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_65up_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_65up_fe_zs') + .with_column(Column('lr_wdi_sp_pop_65up_fe_zs', from_loa='country_year', from_column='wdi_sp_pop_65up_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') + .with_column(Column('lr_wdi_sp_pop_grow', from_loa='country_year', from_column='wdi_sp_pop_grow') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_urb_totl_in_zs', from_loa='country_year', from_column='wdi_sp_urb_totl_in_zs') + .with_column(Column('lr_wdi_sp_urb_totl_in_zs', from_loa='country_year', from_column='wdi_sp_urb_totl_in_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') + .with_column(Column('lr_splag_wdi_sl_tlf_totl_fe_zs', from_loa='country_year', from_column='wdi_sl_tlf_totl_fe_zs') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') + .with_column(Column('lr_splag_wdi_sm_pop_refg_or', from_loa='country_year', from_column='wdi_sm_pop_refg_or') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') + .with_column(Column('lr_splag_wdi_sm_pop_netm', from_loa='country_year', from_column='wdi_sm_pop_netm') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') + .with_column(Column('lr_splag_wdi_ag_lnd_frst_k2', from_loa='country_year', from_column='wdi_ag_lnd_frst_k2') .transform.missing.fill() .transform.temporal.tlag(12) .transform.spatial.countrylag(1,1,0,0) .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -236,7 +236,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -244,7 +244,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/old_money/configs/config_queryset.py b/models/old_money/configs/config_queryset.py index 11cd459..31055a5 100644 --- a/models/old_money/configs/config_queryset.py +++ b/models/old_money/configs/config_queryset.py @@ -4,83 +4,83 @@ def generate(): qs_escwa_drought = (Queryset('fatalities003_pgm_escwa_drought','priogrid_month') - .with_column(Column('pgd_nlights_calib_mean', from_loa='priogrid_year', from_column='nlights_calib_mean') + .with_column(Column('lr_pgd_nlights_calib_mean', from_loa='priogrid_year', from_column='nlights_calib_mean') .transform.missing.replace_na(0) ) - .with_column(Column('pgd_imr_mean', from_loa='priogrid_year', from_column='imr_mean') + .with_column(Column('lr_pgd_imr_mean', from_loa='priogrid_year', from_column='imr_mean') .transform.missing.replace_na(0) ) - .with_column(Column('pgd_urban_ih', from_loa='priogrid_year', from_column='urban_ih') + .with_column(Column('lr_pgd_urban_ih', from_loa='priogrid_year', from_column='urban_ih') .transform.missing.replace_na(0) ) - .with_column(Column('count_moder_drought_prev10', from_loa='priogrid_month', from_column='count_moder_drought_prev10') + .with_column(Column('lr_count_moder_drought_prev10', from_loa='priogrid_month', from_column='count_moder_drought_prev10') .transform.missing.replace_na(0) ) - .with_column(Column('cropprop', from_loa='priogrid_month', from_column='cropprop') + .with_column(Column('lr_cropprop', from_loa='priogrid_month', from_column='cropprop') .transform.missing.replace_na(0) ) - .with_column(Column('growseasdummy', from_loa='priogrid_month', from_column='growseasdummy') + .with_column(Column('lr_growseasdummy', from_loa='priogrid_month', from_column='growseasdummy') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gs_prev10', from_loa='priogrid_month', from_column='spei1_gs_prev10') + .with_column(Column('lr_spei1_gs_prev10', from_loa='priogrid_month', from_column='spei1_gs_prev10') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gs_prev10_anom', from_loa='priogrid_month', from_column='spei1_gs_prev10_anom') + .with_column(Column('lr_spei1_gs_prev10_anom', from_loa='priogrid_month', from_column='spei1_gs_prev10_anom') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gsm_cv_anom', from_loa='priogrid_month', from_column='spei1_gsm_cv_anom') + .with_column(Column('lr_spei1_gsm_cv_anom', from_loa='priogrid_month', from_column='spei1_gsm_cv_anom') .transform.missing.replace_na(0) ) - .with_column(Column('spei1_gsm_detrend', from_loa='priogrid_month', from_column='spei1_gsm_detrend') + .with_column(Column('lr_spei1_gsm_detrend', from_loa='priogrid_month', from_column='spei1_gsm_detrend') .transform.missing.replace_na(0) ) - .with_column(Column('spei1gsy_lowermedian_count', from_loa='priogrid_month', from_column='spei1gsy_lowermedian_count') + .with_column(Column('lr_spei1gsy_lowermedian_count', from_loa='priogrid_month', from_column='spei1gsy_lowermedian_count') .transform.missing.replace_na(0) ) - .with_column(Column('spei_48_detrend', from_loa='priogrid_month', from_column='spei_48_detrend') + .with_column(Column('lr_spei_48_detrend', from_loa='priogrid_month', from_column='spei_48_detrend') .transform.missing.replace_na(0) ) - .with_column(Column('tlag1_dr_mod_gs', from_loa='priogrid_month', from_column='tlag1_dr_mod_gs') + .with_column(Column('lr_tlag1_dr_mod_gs', from_loa='priogrid_month', from_column='tlag1_dr_mod_gs') .transform.missing.replace_na(0) ) - .with_column(Column('tlag1_dr_moder_gs', from_loa='priogrid_month', from_column='tlag1_dr_moder_gs') + .with_column(Column('lr_tlag1_dr_moder_gs', from_loa='priogrid_month', from_column='tlag1_dr_moder_gs') .transform.missing.replace_na(0) ) - .with_column(Column('tlag1_dr_sev_gs', from_loa='priogrid_month', from_column='tlag1_dr_sev_gs') + .with_column(Column('lr_tlag1_dr_sev_gs', from_loa='priogrid_month', from_column='tlag1_dr_sev_gs') .transform.missing.replace_na(0) ) - .with_column(Column('tlag1_spei1_gsm', from_loa='priogrid_month', from_column='tlag1_spei1_gsm') + .with_column(Column('lr_tlag1_spei1_gsm', from_loa='priogrid_month', from_column='tlag1_spei1_gsm') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_crop_sum', from_loa='priogrid_month', from_column='tlag_12_crop_sum') + .with_column(Column('lr_tlag_12_crop_sum', from_loa='priogrid_month', from_column='tlag_12_crop_sum') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_harvarea_maincrops', from_loa='priogrid_month', from_column='tlag_12_harvarea_maincrops') + .with_column(Column('lr_tlag_12_harvarea_maincrops', from_loa='priogrid_month', from_column='tlag_12_harvarea_maincrops') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_irr_maincrops', from_loa='priogrid_month', from_column='tlag_12_irr_maincrops') + .with_column(Column('lr_tlag_12_irr_maincrops', from_loa='priogrid_month', from_column='tlag_12_irr_maincrops') .transform.missing.replace_na(0) ) - .with_column(Column('tlag_12_rainf_maincrops', from_loa='priogrid_month', from_column='tlag_12_rainf_maincrops') + .with_column(Column('lr_tlag_12_rainf_maincrops', from_loa='priogrid_month', from_column='tlag_12_rainf_maincrops') .transform.missing.replace_na(0) ) @@ -94,7 +94,7 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('greq_1_excluded', from_loa='priogrid_year', from_column='excluded') + .with_column(Column('lr_greq_1_excluded', from_loa='priogrid_year', from_column='excluded') .transform.bool.gte(1) .transform.missing.fill() ) @@ -109,13 +109,13 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('wdi_nv_agr_totl_kd', from_loa='country_year', from_column='wdi_nv_agr_totl_kd') + .with_column(Column('lr_wdi_nv_agr_totl_kd', from_loa='country_year', from_column='wdi_nv_agr_totl_kd') .transform.missing.replace_na(0) .transform.temporal.tlag(12) .transform.missing.replace_na(0) ) - .with_column(Column('decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -123,7 +123,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -131,7 +131,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_1', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_1', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/ominous_ox/configs/config_queryset.py b/models/ominous_ox/configs/config_queryset.py index 6fd9718..4040d16 100644 --- a/models/ominous_ox/configs/config_queryset.py +++ b/models/ominous_ox/configs/config_queryset.py @@ -13,7 +13,7 @@ def generate(): # VIEWSER 6, Example configuration. Modify as needed. queryset = (Queryset('fatalities003_conflict_history','country_month') - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') ) .with_column(Column('ln_ged_sb_dep', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') @@ -51,7 +51,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() @@ -114,7 +114,7 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -122,7 +122,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -130,7 +130,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_100', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -138,7 +138,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_500', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(500) .transform.temporal.time_since() @@ -146,7 +146,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_100', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -154,7 +154,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -162,7 +162,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_decay_ged_ns_100', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(100) .transform.temporal.time_since() @@ -170,7 +170,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') + .with_column(Column('lr_decay_acled_sb_5', from_loa='country_month', from_column='acled_sb_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -178,7 +178,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') + .with_column(Column('lr_decay_acled_os_5', from_loa='country_month', from_column='acled_os_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -186,7 +186,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') + .with_column(Column('lr_decay_acled_ns_5', from_loa='country_month', from_column='acled_ns_fat') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -194,7 +194,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -203,7 +203,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -212,7 +212,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_ns_5', from_loa='country_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/orange_pasta/configs/config_queryset.py b/models/orange_pasta/configs/config_queryset.py index 1f9beb7..1d431f9 100644 --- a/models/orange_pasta/configs/config_queryset.py +++ b/models/orange_pasta/configs/config_queryset.py @@ -20,7 +20,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -28,7 +28,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_25', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(25) .transform.temporal.time_since() @@ -36,7 +36,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_1', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -44,7 +44,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_1_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() @@ -53,7 +53,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(1) .transform.temporal.time_since() diff --git a/models/plastic_beach/configs/config_queryset.py b/models/plastic_beach/configs/config_queryset.py index cb85613..0830586 100644 --- a/models/plastic_beach/configs/config_queryset.py +++ b/models/plastic_beach/configs/config_queryset.py @@ -23,91 +23,91 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('agr_withdrawal_pct_t48', from_loa='country_year', from_column='agr_withdrawal_pct') + .with_column(Column('lr_agr_withdrawal_pct_t48', from_loa='country_year', from_column='agr_withdrawal_pct') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('dam_cap_pcap_t48', from_loa='country_year', from_column='dam_cap_pcap') + .with_column(Column('lr_dam_cap_pcap_t48', from_loa='country_year', from_column='dam_cap_pcap') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('groundwater_export_t48', from_loa='country_year', from_column='groundwater_export') + .with_column(Column('lr_groundwater_export_t48', from_loa='country_year', from_column='groundwater_export') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('fresh_withdrawal_pct_t48', from_loa='country_year', from_column='fresh_withdrawal_pct') + .with_column(Column('lr_fresh_withdrawal_pct_t48', from_loa='country_year', from_column='fresh_withdrawal_pct') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('ind_efficiency_t48', from_loa='country_year', from_column='ind_efficiency') + .with_column(Column('lr_ind_efficiency_t48', from_loa='country_year', from_column='ind_efficiency') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('irr_agr_efficiency_t48', from_loa='country_year', from_column='irr_agr_efficiency') + .with_column(Column('lr_irr_agr_efficiency_t48', from_loa='country_year', from_column='irr_agr_efficiency') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('services_efficiency_t48', from_loa='country_year', from_column='services_efficiency') + .with_column(Column('lr_services_efficiency_t48', from_loa='country_year', from_column='services_efficiency') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('general_efficiency_t48', from_loa='country_year', from_column='general_efficiency') + .with_column(Column('lr_general_efficiency_t48', from_loa='country_year', from_column='general_efficiency') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('water_stress_t48', from_loa='country_year', from_column='water_stress') + .with_column(Column('lr_water_stress_t48', from_loa='country_year', from_column='water_stress') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('renewable_internal_pcap_t48', from_loa='country_year', from_column='renewable_internal_pcap') + .with_column(Column('lr_renewable_internal_pcap_t48', from_loa='country_year', from_column='renewable_internal_pcap') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('renewable_pcap_t48', from_loa='country_year', from_column='renewable_pcap') + .with_column(Column('lr_renewable_pcap_t48', from_loa='country_year', from_column='renewable_pcap') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(48) .transform.missing.fill() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -115,7 +115,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -123,7 +123,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/popular_monster/configs/config_queryset.py b/models/popular_monster/configs/config_queryset.py index ae9ed83..9e0f5f3 100644 --- a/models/popular_monster/configs/config_queryset.py +++ b/models/popular_monster/configs/config_queryset.py @@ -23,350 +23,350 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_tokens_t13', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t13', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t1', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t1', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t2', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t2', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t13', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t13', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t1', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t1', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t2', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t2', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t13', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t13', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t1', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t1', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t2', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t2', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t13', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t13', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t1', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t1', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t2', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t2', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t13', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t13', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t1', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t1', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t2', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t2', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t13', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t13', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t1', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t1', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t2', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t2', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t13', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t13', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t1', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t1', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t2', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t2', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t13', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t13', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t1', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t1', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t2', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t2', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t13', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t13', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t1', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t1', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t2', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t2', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t13', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t13', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t1', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t1', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t2', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t2', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t13', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t13', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t1', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t1', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t2', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t2', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t13', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t13', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t1', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t1', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t2', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t2', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t13', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t13', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -374,7 +374,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -382,7 +382,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -391,7 +391,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1_splag', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1_splag', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -400,7 +400,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta0_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -409,7 +409,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta1_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -418,7 +418,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -427,7 +427,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta3_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -436,7 +436,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -445,7 +445,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta5_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -454,7 +454,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta6_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -463,7 +463,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta7_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -472,7 +472,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta8_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -481,7 +481,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta9_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -490,7 +490,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta10_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -499,7 +499,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta11_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -508,7 +508,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta12_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -517,7 +517,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta13_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -526,7 +526,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta14_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) diff --git a/models/teen_spirit/configs/config_queryset.py b/models/teen_spirit/configs/config_queryset.py index 3910ff7..32f8b1a 100644 --- a/models/teen_spirit/configs/config_queryset.py +++ b/models/teen_spirit/configs/config_queryset.py @@ -13,23 +13,23 @@ def generate(): # VIEWSER 6, Example configuration. Modify as needed. queryset = (Queryset('fatalities003_faoprices','country_month') - .with_column(Column('fao_wheat_price', from_loa='country_month', from_column='wheat_price') + .with_column(Column('lr_fao_wheat_price', from_loa='country_month', from_column='wheat_price') .transform.missing.replace_na(0) ) - .with_column(Column('fao_mp_price', from_loa='country_month', from_column='mp_price') + .with_column(Column('lr_fao_mp_price', from_loa='country_month', from_column='mp_price') .transform.missing.replace_na(0) ) - .with_column(Column('fao_sugar_price', from_loa='country_month', from_column='sugar_price') + .with_column(Column('lr_fao_sugar_price', from_loa='country_month', from_column='sugar_price') .transform.missing.replace_na(0) ) - .with_column(Column('fao_meat_price', from_loa='country_month', from_column='meat_price') + .with_column(Column('lr_fao_meat_price', from_loa='country_month', from_column='meat_price') .transform.missing.replace_na(0) ) - .with_column(Column('fao_milk_price', from_loa='country_month', from_column='milk_price') + .with_column(Column('lr_fao_milk_price', from_loa='country_month', from_column='milk_price') .transform.missing.replace_na(0) ) @@ -43,44 +43,44 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('delta_fao_wheat_price', from_loa='country_month', from_column='wheat_price') + .with_column(Column('lr_delta_fao_wheat_price', from_loa='country_month', from_column='wheat_price') .transform.temporal.delta(12) .transform.missing.replace_na(0) ) - .with_column(Column('delta_fao_mp_price', from_loa='country_month', from_column='mp_price') + .with_column(Column('lr_delta_fao_mp_price', from_loa='country_month', from_column='mp_price') .transform.temporal.delta(12) .transform.missing.replace_na(0) ) - .with_column(Column('delta_fao_sugar_price', from_loa='country_month', from_column='sugar_price') + .with_column(Column('lr_delta_fao_sugar_price', from_loa='country_month', from_column='sugar_price') .transform.temporal.delta(12) .transform.missing.replace_na(0) ) - .with_column(Column('delta_fao_meat_price', from_loa='country_month', from_column='meat_price') + .with_column(Column('lr_delta_fao_meat_price', from_loa='country_month', from_column='meat_price') .transform.temporal.delta(12) .transform.missing.replace_na(0) ) - .with_column(Column('delta_fao_milk_price', from_loa='country_month', from_column='milk_price') + .with_column(Column('lr_delta_fao_milk_price', from_loa='country_month', from_column='milk_price') .transform.temporal.delta(12) .transform.missing.replace_na(0) ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -88,7 +88,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -96,7 +96,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() diff --git a/models/twin_flame/configs/config_queryset.py b/models/twin_flame/configs/config_queryset.py index ae9ed83..9e0f5f3 100644 --- a/models/twin_flame/configs/config_queryset.py +++ b/models/twin_flame/configs/config_queryset.py @@ -23,350 +23,350 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t2', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_tokens_t13', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t13', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t1', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t1', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t2', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t2', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta0_stock_t13', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t13', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t1', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t1', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t2', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t2', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta1_stock_t13', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t13', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t2', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t13', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t1', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t1', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t2', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t2', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta3_stock_t13', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t13', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t2', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t13', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t1', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t2', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta5_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t13', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t1', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t1', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t2', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t2', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta6_stock_t13', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t13', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t1', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t1', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t2', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t2', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta7_stock_t13', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t13', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t1', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t1', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t2', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t2', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta8_stock_t13', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t13', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t1', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t1', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t2', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t2', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta9_stock_t13', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t13', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t1', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t1', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t2', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t2', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta10_stock_t13', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t13', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t1', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t1', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t2', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t2', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta11_stock_t13', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t13', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t1', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t1', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t2', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t2', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta12_stock_t13', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t13', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t1', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t1', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t2', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t2', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta13_stock_t13', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t13', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t1', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t1', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(1) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t2', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t2', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(2) .transform.missing.fill() ) - .with_column(Column('topic_ste_theta14_stock_t13', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t13', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) .transform.missing.fill() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -374,7 +374,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -382,7 +382,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -391,7 +391,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_tokens_t1_splag', from_loa='country_month', from_column='topic_tokens') + .with_column(Column('lr_topic_tokens_t1_splag', from_loa='country_month', from_column='topic_tokens') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -400,7 +400,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta0_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta0_stock') + .with_column(Column('lr_topic_ste_theta0_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta0_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -409,7 +409,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta1_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta1_stock') + .with_column(Column('lr_topic_ste_theta1_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta1_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -418,7 +418,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta2_stock') + .with_column(Column('lr_topic_ste_theta2_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta2_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -427,7 +427,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta3_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta3_stock') + .with_column(Column('lr_topic_ste_theta3_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta3_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -436,7 +436,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') + .with_column(Column('lr_topic_ste_theta4_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta4_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -445,7 +445,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta5_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') + .with_column(Column('lr_topic_ste_theta5_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta5_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -454,7 +454,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta6_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta6_stock') + .with_column(Column('lr_topic_ste_theta6_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta6_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -463,7 +463,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta7_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta7_stock') + .with_column(Column('lr_topic_ste_theta7_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta7_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -472,7 +472,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta8_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta8_stock') + .with_column(Column('lr_topic_ste_theta8_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta8_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -481,7 +481,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta9_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta9_stock') + .with_column(Column('lr_topic_ste_theta9_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta9_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -490,7 +490,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta10_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta10_stock') + .with_column(Column('lr_topic_ste_theta10_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta10_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -499,7 +499,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta11_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta11_stock') + .with_column(Column('lr_topic_ste_theta11_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta11_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -508,7 +508,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta12_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta12_stock') + .with_column(Column('lr_topic_ste_theta12_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta12_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -517,7 +517,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta13_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta13_stock') + .with_column(Column('lr_topic_ste_theta13_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta13_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) @@ -526,7 +526,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('topic_ste_theta14_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta14_stock') + .with_column(Column('lr_topic_ste_theta14_stock_t1_splag', from_loa='country_month', from_column='topic_ste_theta14_stock') .transform.missing.fill() .transform.missing.replace_na() .transform.temporal.tlag(13) diff --git a/models/wildest_dream/configs/config_queryset.py b/models/wildest_dream/configs/config_queryset.py index 90884a3..395baaf 100644 --- a/models/wildest_dream/configs/config_queryset.py +++ b/models/wildest_dream/configs/config_queryset.py @@ -5,7 +5,7 @@ def generate(): qs_sptime_dist = (Queryset('fatalities003_pgm_conflict_sptime_dist','priogrid_month') - .with_column(Column('ged_gte_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_ged_gte_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.bool.gte(1) ) @@ -14,47 +14,47 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('sptime_dist_k1_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k1_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,1.0,0.0) ) - .with_column(Column('sptime_dist_k1_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k1_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,1.0,0.0) ) - .with_column(Column('sptime_dist_k1_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k1_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,1.0,0.0) ) - .with_column(Column('sptime_dist_k10_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k10_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,10.0,0.0) ) - .with_column(Column('sptime_dist_k10_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k10_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,10.0,0.0) ) - .with_column(Column('sptime_dist_k10_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k10_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,10.0,0.0) ) - .with_column(Column('sptime_dist_k001_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k001_ged_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,0.01,0.0) ) - .with_column(Column('sptime_dist_k001_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k001_ged_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,0.01,0.0) ) - .with_column(Column('sptime_dist_k001_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_sptime_dist_k001_ged_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.sptime_dist("distances",1,0.01,0.0) ) diff --git a/models/yellow_pikachu/configs/config_queryset.py b/models/yellow_pikachu/configs/config_queryset.py index 29caf78..ad382c3 100644 --- a/models/yellow_pikachu/configs/config_queryset.py +++ b/models/yellow_pikachu/configs/config_queryset.py @@ -4,7 +4,7 @@ def generate(): qs_treelag = (Queryset('fatalities003_pgm_conflict_treelag','priogrid_month') - .with_column(Column('ged_gte_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_ged_gte_1', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.bool.gte(1) ) @@ -13,32 +13,32 @@ def generate(): .transform.ops.ln() ) - .with_column(Column('treelag_1_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_treelag_1_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,1) ) - .with_column(Column('treelag_1_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_treelag_1_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,1) ) - .with_column(Column('treelag_1_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_treelag_1_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,1) ) - .with_column(Column('treelag_2_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_treelag_2_sb', from_loa='priogrid_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,2) ) - .with_column(Column('treelag_2_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') + .with_column(Column('lr_treelag_2_ns', from_loa='priogrid_month', from_column='ged_ns_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,2) ) - .with_column(Column('treelag_2_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_treelag_2_os', from_loa='priogrid_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.spatial.treelag(0.7,2) ) diff --git a/models/yellow_submarine/configs/config_queryset.py b/models/yellow_submarine/configs/config_queryset.py index 9d2a4a8..90eb87a 100644 --- a/models/yellow_submarine/configs/config_queryset.py +++ b/models/yellow_submarine/configs/config_queryset.py @@ -13,19 +13,19 @@ def generate(): # VIEWSER 6, Example configuration. Modify as needed. queryset = (Queryset('fatalities003_imfweo','country_month') - .with_column(Column('imfweo_ngdp_rpch_tcurrent', from_loa='country_month', from_column='ngdp_rpch_tcurrent') + .with_column(Column('lr_imfweo_ngdp_rpch_tcurrent', from_loa='country_month', from_column='ngdp_rpch_tcurrent') .transform.missing.replace_na(0) ) - .with_column(Column('imfweo_ngdp_rpch_tmin1', from_loa='country_month', from_column='ngdp_rpch_tmin1') + .with_column(Column('lr_imfweo_ngdp_rpch_tmin1', from_loa='country_month', from_column='ngdp_rpch_tmin1') .transform.missing.replace_na(0) ) - .with_column(Column('imfweo_ngdp_rpch_tplus1', from_loa='country_month', from_column='ngdp_rpch_tplus1') + .with_column(Column('lr_imfweo_ngdp_rpch_tplus1', from_loa='country_month', from_column='ngdp_rpch_tplus1') .transform.missing.replace_na(0) ) - .with_column(Column('imfweo_ngdp_rpch_tplus2', from_loa='country_month', from_column='ngdp_rpch_tplus2') + .with_column(Column('lr_imfweo_ngdp_rpch_tplus2', from_loa='country_month', from_column='ngdp_rpch_tplus2') .transform.missing.replace_na(0) ) @@ -39,19 +39,19 @@ def generate(): .transform.missing.fill() ) - .with_column(Column('gleditsch_ward', from_loa='country', from_column='gwcode') + .with_column(Column('lr_gleditsch_ward', from_loa='country', from_column='gwcode') .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') + .with_column(Column('lr_wdi_sp_pop_totl', from_loa='country_year', from_column='wdi_sp_pop_totl') .transform.missing.fill() .transform.temporal.tlag(12) .transform.missing.fill() .transform.missing.replace_na() ) - .with_column(Column('decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -59,7 +59,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') + .with_column(Column('lr_decay_ged_os_5', from_loa='country_month', from_column='ged_os_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since() @@ -67,7 +67,7 @@ def generate(): .transform.missing.replace_na() ) - .with_column(Column('splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') + .with_column(Column('lr_splag_1_decay_ged_sb_5', from_loa='country_month', from_column='ged_sb_best_sum_nokgi') .transform.missing.replace_na() .transform.bool.gte(5) .transform.temporal.time_since()