diff --git a/.github/workflows/snapshot-tests.yaml b/.github/workflows/snapshot-tests.yaml new file mode 100644 index 000000000..939a48976 --- /dev/null +++ b/.github/workflows/snapshot-tests.yaml @@ -0,0 +1,67 @@ +name: Snapshot Tests + +on: + push: + branches: + - master + paths: + - 'pyfixest/report/**' + - 'pyfixest/estimation/decomposition.py' + - 'tests/test_etable_snapshot.py' + - 'tests/test_plots_snapshot.py' + - 'tests/__snapshots__/**' + pull_request: + branches: + - master + paths: + - 'pyfixest/report/**' + - 'pyfixest/estimation/decomposition.py' + - 'tests/test_etable_snapshot.py' + - 'tests/test_plots_snapshot.py' + - 'tests/__snapshots__/**' + schedule: + # Run weekly on Mondays at 6:00 UTC to catch dependency-induced regressions + - cron: '0 6 * * 1' + workflow_dispatch: + +jobs: + snapshot-test: + name: "Snapshot Tests" + runs-on: macos-14 # ARM-based macOS + continue-on-error: true # Warn only - does not block merge + steps: + - name: Checkout source + uses: actions/checkout@v4 + + - name: Setup Python + uses: actions/setup-python@v5 + with: + python-version: "3.11" + + - name: Setup pixi + uses: prefix-dev/setup-pixi@v0.8.3 + with: + pixi-version: v0.41.4 + cache: true + + - name: Compile Rust extension + run: | + pixi run -e snapshot maturin-develop + + - name: Run snapshot tests + id: snapshot_tests + run: | + pixi run -e snapshot snapshot-test + + - name: Report snapshot status + if: failure() + run: | + echo "::warning::Snapshot tests failed. Run 'pixi run -e snapshot snapshot-update' locally to update snapshots if the changes are intentional." + + - name: Upload snapshot artifacts on failure + if: failure() + uses: actions/upload-artifact@v4 + with: + name: snapshot-failures + path: tests/__snapshots__/ + retention-days: 7 diff --git a/coverage.json b/coverage.json new file mode 100644 index 000000000..27c85ba0a --- /dev/null +++ b/coverage.json @@ -0,0 +1 @@ +{"meta": {"format": 3, "version": "7.11.0", "timestamp": "2025-12-25T16:51:59.391712", "branch_coverage": true, "show_contexts": false}, "files": {"pyfixest/__init__.py": {"executed_lines": [2, 9, 18, 27, 28, 34, 63, 65, 66], "summary": {"covered_lines": 9, "num_statements": 11, "percent_covered": 81.81818181818181, "percent_covered_display": "82", "missing_lines": 2, "excluded_lines": 0, "num_branches": 0, "num_partial_branches": 0, "covered_branches": 0, "missing_branches": 0}, "missing_lines": [67, 68], "excluded_lines": [], "executed_branches": [], 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"num_branches": 1864, "num_partial_branches": 260, "covered_branches": 1400, "missing_branches": 464}} diff --git a/docs/changelog.qmd b/docs/changelog.qmd index df7440d1a..4b79a200e 100644 --- a/docs/changelog.qmd +++ b/docs/changelog.qmd @@ -19,13 +19,14 @@ fit3 = pf.feols("Y ~ X1 + X2 | f1", data = df) ### Migration to maketables -The table functionality in pyfixest now uses [maketables](https://py-econometrics.github.io/maketables/). `maketables` is a spin-off of +The table functionality in pyfixest now uses the [maketables](https://py-econometrics.github.io/maketables/) package internally. `maketables` is a spin-off of pyfixest internal functions, but supports more packages in the Python eco-system (e.g. `statsmodels` and `linearmorels`). Due to it's close connection to `pyfixest`, the API of `pf.etable()` remains unchanged. + **Changes:** - `pf.etable()` now uses `maketables.ETable` internally. The API remains unchanged for backward compatibility. -- Because the function is not at the core of `pyixest` functionality, we will deprecate `pf.dtable()`. +- Because this function is not at the core of `pyixest` functionality, we will deprecate `pf.dtable()`. A `FutureWarning` is now emitted. The function has been moved to `maketables` and can be used by calling `maketables.DTable()` directly. - The same applies for `pf.make_table()`, which has been an internal utility function to create tables. An equivalent function now lives in `maketables.MTable()`. @@ -46,7 +47,7 @@ maketables.DTable(df, vars=["Y", "X1"]) pf.make_table(df, type="gt", caption="My Table") # After: import maketables -maketables.MTable(df, caption="My Table").make(type="gt") +maketables.MTable(df, caption="My Table").to_gt() ``` ### Other Changes diff --git a/docs/resources.qmd b/docs/resources.qmd index 04f2379db..5df994d2a 100644 --- a/docs/resources.qmd +++ b/docs/resources.qmd @@ -29,7 +29,7 @@ Textbooks / textbook chapters that we still want to cover: If you are teaching with pyfixest, we'd love to hear from you! - Econometrics II (taught by Vladislav Morozov at UBonn): Great intro to fixed effects estimation theory. Slides on fixed effects [here](https://vladislav-morozov.github.io/econometrics-2/slides/panel/fe.html#/title-slide), full class notes [here](https://vladislav-morozov.github.io/econometrics-2/), [github repository](https://github.com/vladislav-morozov/econometrics-2) -- Empirical Economics (taught at University of Utrecht 2025-2026) - MSc class in empirical economics. +- Empirical Economics (taught at University of Utrecht 2025-2026) - MSc class in empirical economics. - ECON 526 - MA-level course in quantitative economics, data science, and causal inference in economics, taught at the University of Brisith Columbia. [Class notes here](https://github.com/ubcecon/ECON526/tree/main_2025) diff --git a/docs/table-layout.qmd b/docs/table-layout.qmd index fc968052b..87a3b7394 100644 --- a/docs/table-layout.qmd +++ b/docs/table-layout.qmd @@ -14,6 +14,13 @@ Starting with pyfixest 0.41.0 (currently in development), the table functionalit The `pf.etable()` API remains unchanged. `pf.dtable()` is deprecated (use `DTable()` directly) and `pf.make_table()` has been removed (use `maketables.MTable()` directly). ::: +Pyfixest comes with functions to generate publication-ready tables. Regression tables are generated with `pf.etable()`, which can output different formats, for instance using the [Great Tables](https://posit-dev.github.io/great-tables/articles/intro.html) package or generating formatted LaTex Tables using [booktabs](https://ctan.org/pkg/booktabs?lang=en). Descriptive statistics tables can be created with `DTable()` and custom tables with `maketables.MTable()`. +::: {.callout-note} +## Migration Notice +Starting with pyfixest 0.41.0 (currently in development), the table functionality is powered by [maketables](https://py-econometrics.github.io/maketables/). +The `pf.etable()` API remains unchanged. `pf.dtable()` is deprecated (use `DTable()` directly) and `pf.make_table()` has been removed (use `maketables.MTable()` directly). +::: + Pyfixest comes with functions to generate publication-ready tables. Regression tables are generated with `pf.etable()`, which can output different formats, for instance using the [Great Tables](https://posit-dev.github.io/great-tables/articles/intro.html) package or generating formatted LaTex Tables using [booktabs](https://ctan.org/pkg/booktabs?lang=en). Descriptive statistics tables can be created with `DTable()` and custom tables with `maketables.MTable()`. To begin, we load some libraries and fit a set of regression models. @@ -24,6 +31,8 @@ import pandas as pd import pylatex as pl # for the latex table; note: not a dependency of pyfixest - needs manual installation from maketables import DTable from great_tables import loc, style # great_tables is used by maketables internally +from maketables import DTable +from great_tables import loc, style # great_tables is used by maketables internally from IPython.display import FileLink, display import pyfixest as pf @@ -120,10 +129,12 @@ pf.etable( ) ``` +To obtain latex output use `type = "tex"`. If you want to save the table as a tex file, you can use the `file_name=` argument to specify the respective path where it should be saved. Etable will use latex packages `booktabs`, `threeparttable`, `makecell`, and `tabularx` for the table layout, so don't forget to include these packages in your latex document. To obtain latex output use `type = "tex"`. If you want to save the table as a tex file, you can use the `file_name=` argument to specify the respective path where it should be saved. Etable will use latex packages `booktabs`, `threeparttable`, `makecell`, and `tabularx` for the table layout, so don't forget to include these packages in your latex document. ```{python} # LaTex output (include latex packages booktabs, threeparttable, makecell, and tabularx in your document): +# LaTex output (include latex packages booktabs, threeparttable, makecell, and tabularx in your document): tab = pf.etable( [fit1, fit2, fit3, fit4, fit5, fit6], signif_code=[0.01, 0.05, 0.1], @@ -145,6 +156,7 @@ def make_pdf(tab, file): doc.packages.append(pl.Package("threeparttable")) doc.packages.append(pl.Package("makecell")) doc.packages.append(pl.Package("tabularx")) + doc.packages.append(pl.Package("tabularx")) with ( doc.create(pl.Section("A PyFixest LateX Table")), @@ -342,17 +354,20 @@ format: ::: {.callout-warning} ## Deprecation Notice -`pf.dtable()` will be deprecated in the future. Please use `DTable` from the `maketables` package. +`pf.dtable()` will be deprecated in the future. Please use from the `maketables` package. ::: +The function `DTable()` allows to display descriptive statistics for a set of variables in the same layout. The function `DTable()` allows to display descriptive statistics for a set of variables in the same layout. +## Basic Usage of DTable ## Basic Usage of DTable Specify the variables you want to display the descriptive statistics for. You can also use a dictionary to rename the variables and add a caption. ```{python} +DTable( DTable( data, vars=["Y", "Y2", "X1", "X2"], @@ -367,6 +382,7 @@ Choose the set of statistics to be displayed with `stats`. You can use any panda ```{python} +DTable( DTable( data, vars=["Y", "Y2", "X1", "X2"], @@ -389,6 +405,7 @@ data["occupation"] = np.random.choice(["Blue collar", "White collar"], data.shap # Drop nan values to have balanced data data.dropna(inplace=True) +DTable( DTable( data, vars=["Y", "Y2", "X1", "X2"], @@ -408,6 +425,7 @@ You can also hide the display of the statistics labels in the header with `hide_ ```{python} +DTable( DTable( data, vars=["Y", "Y2", "X1", "X2"], @@ -426,6 +444,7 @@ You can also split by characteristics in both columns and rows. Note that you ca ```{python} +DTable( DTable( data, vars=["Y", "Y2", "X1", "X2"], @@ -442,6 +461,7 @@ And you can again export descriptive statistics tables also to LaTex: ```{python} +dtab = DTable( dtab = DTable( data, vars=["Y", "Y2", "X1", "X2"], @@ -522,6 +542,7 @@ style_presentation = { ```{python} +t1 = DTable( t1 = DTable( data, vars=["Y", "Y2", "X1", "X2"], @@ -542,6 +563,7 @@ t2 = pf.etable( ```{python} display(t1.make(type="gt", gt_style=style_print)) +display(t1.make(type="gt", gt_style=style_print)) display(t2.tab_options(**style_print)) ``` @@ -561,5 +583,6 @@ style_printDouble = { "table_width": "14cm", } display(t1.make(type="gt", gt_style=style_printDouble)) +display(t1.make(type="gt", gt_style=style_printDouble)) display(t2.tab_options(**style_printDouble)) ``` diff --git a/pixi.lock b/pixi.lock index 2ca5a41f2..be51d16ed 100644 --- a/pixi.lock +++ b/pixi.lock @@ -4720,6 +4720,266 @@ environments: - pypi: https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl - 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__osx >=11.0 + - libzlib >=1.3.1,<2.0a0 + license: BSD-3-Clause + license_family: BSD + purls: [] + size: 433413 + timestamp: 1764777166076 - conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-hbeecb71_2.conda sha256: bc64864377d809b904e877a98d0584f43836c9f2ef27d3d2a1421fa6eae7ca04 md5: 21f56217d6125fb30c3c3f10c786d751 diff --git a/pixi.toml b/pixi.toml index ab8d6f53d..fddec0401 100644 --- a/pixi.toml +++ b/pixi.toml @@ -62,7 +62,9 @@ jax = ">=0.4.38, <0.8" jaxlib = ">=0.4.38, <0.8" [feature.dev.tasks] -"tests" = "pytest -rs -n 9 --cov-report=term tests" +"tests" = "pytest -rs -n 9 --cov=pyfixest --cov-report=term tests --ignore=tests/test_etable_snapshot.py --ignore=tests/test_plots_snapshot.py" +"coverage-report" = "coverage report && coverage xml" +"coverage-clean" = "coverage erase" "tests-against-r-core" = 'pytest -rs tests -n 9 -m "against_r_core" --cov=pyfixest --cov-report=xml' "tests-against-r-extended" = 'pytest -rs tests -n 9 -m "against_r_extended" --cov=pyfixest --cov-report=xml' "tests-regular" = 'pytest tests -n 9 -m "not (extended or against_r_core or against_r_extended or plots or hac)" --cov=pyfixest --cov-report=xml' @@ -123,6 +125,23 @@ pre-commit = "pre-commit run --all-files" build-pip = 'python -m build .' maturin-develop = "maturin develop --release --strip" +[feature.snapshot] +platforms = ["osx-arm64", "osx-64"] + +[feature.snapshot.dependencies] +pytest = ">=7.2.0" +pytest-cov = ">=4.1.0" +matplotlib = ">=3.7.0" + +[feature.snapshot.pypi-dependencies] +maketables = ">=0.1.0" +syrupy = ">=4.6.0" +lets-plot = ">=4.0.0" + +[feature.snapshot.tasks] +snapshot-test = "pytest tests/test_etable_snapshot.py tests/test_plots_snapshot.py -v --cov=pyfixest --cov-append --cov-report=term" +snapshot-update = "pytest tests/test_etable_snapshot.py tests/test_plots_snapshot.py -v --snapshot-update" + [environments] dev = ["dev", "build"] docs = ["docs", "build"] @@ -130,3 +149,4 @@ lint = ["lint"] plots = ["plots"] jax = ["jax"] build = ["build"] +snapshot = ["snapshot", "build"] diff --git a/pyfixest/estimation/decomposition.py b/pyfixest/estimation/decomposition.py index 3b556627b..7e6ae69bc 100644 --- a/pyfixest/estimation/decomposition.py +++ b/pyfixest/estimation/decomposition.py @@ -750,6 +750,7 @@ def etable( Additional notes to append to the table, by default None. **kwargs : dict, optional Additional arguments passed to maketables.MTable (type, digits, etc.). + Additional arguments passed to maketables.MTable (type, digits, etc.). Returns ------- @@ -907,6 +908,7 @@ def etable( rgroup_sep_val = "t" if rgroup_sep is None else rgroup_sep output_type = kwargs.pop("type", "gt") + # Create MTable with the DataFrame table = MTable( res_sub, notes=notes, diff --git a/pyfixest/report/summarize.py b/pyfixest/report/summarize.py index 6c1f0839b..43c2efb66 100644 --- a/pyfixest/report/summarize.py +++ b/pyfixest/report/summarize.py @@ -439,7 +439,7 @@ def dtable( Generate descriptive statistics tables and create a booktab style table in the desired format (gt or tex). - .. deprecated:: 0.41.0 + .. deprecated:: This function is deprecated and will be removed in a future version. Please use `maketables.DTable()` directly instead. See https://py-econometrics.github.io/maketables/ for documentation. diff --git a/pyproject.toml b/pyproject.toml index 4ca70dfce..5a43eebe9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -56,7 +56,8 @@ markers = [ "against_r_extended: mark test to be part of the test suite that depends on other R modules", "extended: mark test to be part of the extended test suite", "plots: marks all tests for plotting functionality, tests only triggered when using tag in github issue", - "hac: marks all tests for HAC SEs" + "hac: marks all tests for HAC SEs", + "snapshot: marks all snapshot tests for etable output" ] filterwarnings = [ @@ -64,6 +65,16 @@ filterwarnings = [ "ignore::DeprecationWarning:rpy2", ] +[tool.coverage.run] +source = ["pyfixest"] +parallel = true +branch = true + +[tool.coverage.paths] +source = [ + "pyfixest/", +] + [tool.ruff] line-length = 88 fix = true diff --git a/pytest.ini b/pytest.ini index bcf40d751..532b30405 100644 --- a/pytest.ini +++ b/pytest.ini @@ -5,6 +5,7 @@ markers = extended: mark test to be part of the extended test suite plots: marks all tests for plotting functionality, tests only triggered when using tag in github issue hac: marks all tests for HAC SEs + snapshot: marks all snapshot tests for etable output filterwarnings = ignore::FutureWarning:rpy2 diff --git a/tests/__snapshots__/test_etable_snapshot.ambr b/tests/__snapshots__/test_etable_snapshot.ambr new file mode 100644 index 000000000..80ae47178 --- /dev/null +++ b/tests/__snapshots__/test_etable_snapshot.ambr @@ -0,0 +1,5483 @@ +# serializer version: 1 +# name: TestEtableAdvancedParams.test_cat_template + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)
coef
X1-0.919
(0.06)
f1=12.300
(0.34)
f1=2-1.844
(0.355)
f1=3-0.598
(0.368)
f1=4-1.875
(0.356)
f1=51.454
(0.387)
f1=6-0.945
(0.377)
f1=70.445
(0.361)
f1=8-0.627
(0.355)
f1=9-0.157
(0.354)
f1=100.415
(0.359)
f1=111.108
(0.361)
f1=120.422
(0.372)
f1=131.678
(0.37)
f1=14-0.329
(0.378)
f1=151.062
(0.376)
f1=162.012
(0.356)
f1=17-0.341
(0.378)
f1=181.341
(0.359)
f1=190.496
(0.377)
f1=202.611
(0.333)
f1=21-1.766
(0.359)
f1=22-1.126
(0.348)
f1=23-0.896
(0.401)
f1=24-1.258
(0.362)
f1=25-1.623
(0.402)
f1=260.501
(0.385)
f1=27-0.359
(0.374)
f1=281.425
(0.343)
f1=290.281
(0.379)
f2=10.392
(0.349)
f2=2-0.585
(0.415)
f2=3-2.277
(0.344)
f2=4-0.312
(0.401)
f2=50.115
(0.357)
f2=60.416
(0.345)
f2=7-1.193
(0.392)
f2=8-1.240
(0.366)
f2=9-1.753
(0.36)
f2=100.717
(0.34)
f2=11-0.864
(0.397)
f2=120.357
(0.341)
f2=13-2.291
(0.412)
f2=14-0.647
(0.366)
f2=15-0.281
(0.355)
f2=16-0.239
(0.353)
f2=17-0.266
(0.394)
f2=18-0.852
(0.374)
f2=190.798
(0.349)
f2=20-1.243
(0.37)
f2=21-0.793
(0.366)
f2=22-0.061
(0.376)
f2=23-0.643
(0.374)
f2=24-0.599
(0.373)
f2=251.060
(0.343)
f2=26-0.114
(0.387)
f2=27-1.620
(0.345)
f2=280.113
(0.369)
f2=29-2.543
(0.337)
Intercept1.142
(0.355)
stats
Observations997
R20.609
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableAdvancedParams.test_custom_fe_symbols + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableAdvancedParams.test_custom_model_stats + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Mean Y-5.345105835707875e-188.908509726179791e-18
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableAdvancedParams.test_digits + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.94953
(0.06637)		-0.92405
(0.05606)
X2-0.17423
(0.01760)		-0.17411
(0.01486)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableAdvancedParams.test_exact_match + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableAdvancedParams.test_scientific_notation + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableAdvancedParams.test_show_fe_false + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableAdvancedParams.test_thousands_sep + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableDf.test_basic_df + ''' + Y + (1) (2) + coef X1 -0.95 \n (0.066) -0.924 \n (0.056) + X2 -0.174 \n (0.018) -0.174 \n (0.015) + fe f1 x x + f2 - x + stats Observations 997 997 + R² 0.489 0.659 + ''' +# --- +# name: TestEtableDf.test_df_with_custom_stats + ''' + Y + (1) (2) + coef X1 -0.95 [-1.080, -0.819] -0.924 [-1.034, -0.814] + X2 -0.174 [-0.209, -0.14] -0.174 [-0.203, -0.145] + fe f1 x x + f2 - x + stats Observations 997 997 + R² 0.489 0.659 + ''' +# --- +# name: TestEtableGt.test_basic_gt + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableGt.test_gt_with_coef_fmt + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95 (0.066)
-14.306 [0]		-0.924 (0.056)
-16.483 [0]
X2-0.174 (0.018)
-9.902 [0]		-0.174 (0.015)
-11.717 [0]
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error) t-stats [p-value]
+ +
+ + ''' +# --- +# name: TestEtableGt.test_gt_with_drop + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableGt.test_gt_with_keep + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableGt.test_gt_with_labels + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
Variable One-0.95
(0.066)		-0.924
(0.056)
Variable Two-0.174
(0.018)		-0.174
(0.015)
fe
Fixed Effect 1xx
Fixed Effect 2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableGt.test_gt_with_model_heads + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+   + + Y +
+ Model A + + Model B +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableGt.test_gt_with_notes + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Custom notes for this table.
+ +
+ + ''' +# --- +# name: TestEtableGt.test_gt_with_significance_codes + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableGt.test_single_model_gt + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)
coef
X1-0.95
(0.066)
X2-0.174
(0.018)
fe
f1x
stats
Observations997
R20.489
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableHtml.test_basic_html + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.95
(0.066)		-0.924
(0.056)
X2-0.174
(0.018)		-0.174
(0.015)
fe
f1xx
f2-x
stats
Observations997997
R20.4890.659
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableMd.test_basic_md + ''' + | | ('Y', '(1)') | ('Y', '(2)') | + |:--------------------------|:---------------|:---------------| + | ('coef', 'X1') | -0.95 | -0.924 | + | | (0.066) | (0.056) | + | ('coef', 'X2') | -0.174 | -0.174 | + | | (0.018) | (0.015) | + | ('fe', 'f1') | x | x | + | ('fe', 'f2') | - | x | + | ('stats', 'Observations') | 997 | 997 | + | ('stats', 'R²') | 0.489 | 0.659 | + + ''' +# --- +# name: TestEtableMd.test_md_with_notes + ''' + | | ('Y', '(1)') | ('Y', '(2)') | + |:--------------------------|:---------------|:---------------| + | ('coef', 'X1') | -0.95 | -0.924 | + | | (0.066) | (0.056) | + | ('coef', 'X2') | -0.174 | -0.174 | + | | (0.018) | (0.015) | + | ('fe', 'f1') | x | x | + | ('fe', 'f2') | - | x | + | ('stats', 'Observations') | 997 | 997 | + | ('stats', 'R²') | 0.489 | 0.659 | + + ''' +# --- +# name: TestEtableModelInputs.test_explicit_model_list + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)(3)
coef
X1-1.000
(0.085)		-0.993
(0.082)		-0.95
(0.066)
X2-0.176
(0.022)		-0.174
(0.018)
Intercept0.919
(0.112)		0.889
(0.108)
fe
f1--x
stats
Observations998998997
R20.1230.1770.489
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableModelInputs.test_fixest_multi_direct + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y + + Y2 +
(1)(2)
coef
X1-0.95
(0.066)		-1.267
(0.211)
X2-0.174
(0.018)		-0.131
(0.056)
fe
f1xx
stats
Observations997998
R20.4890.12
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableModelInputs.test_fixest_multi_method + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y + + Y2 +
(1)(2)
coef
X1-0.95
(0.066)		-1.267
(0.211)
X2-0.174
(0.018)		-0.131
(0.056)
fe
f1xx
stats
Observations997998
R20.4890.12
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableModelInputs.test_fixest_multi_to_list + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y + + Y2 +
(1)(2)
coef
X1-0.95
(0.066)		-1.267
(0.211)
X2-0.174
(0.018)		-0.131
(0.056)
fe
f1xx
stats
Observations997998
R20.4890.12
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableSpecialModels.test_iv_model + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)
coef
X1-0.992
(0.105)		-0.95
(0.066)
X2-0.174
(0.018)		-0.174
(0.018)
fe
f1xx
stats
Observations997997
R2-0.489
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableSpecialModels.test_mixed_models + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)(2)(3)
coef
X1-0.95
(0.066)		-0.924
(0.056)		0.004
(0.033)
X2-0.174
(0.018)		-0.174
(0.015)		-0.014
(0.011)
f20.003
(0.004)
fe
f1xxx
f2-x-
stats
Observations997997996
R20.4890.659-
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableSpecialModels.test_poisson_model + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ Y +
(1)
coef
X10.004
(0.033)
X2-0.014
(0.011)
f20.003
(0.004)
fe
f1x
stats
Observations996
R2-
Format of coefficient cell: Coefficient (Std. Error)
+ +
+ + ''' +# --- +# name: TestEtableTex.test_basic_tex + ''' + \begin{threeparttable} + \begingroup + \renewcommand\cellalign{t} + \renewcommand\arraystretch{1} + \setlength{\tabcolsep}{3pt} + \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}l>{\centering\arraybackslash}X>{\centering\arraybackslash}X} + \toprule + & \multicolumn{2}{c}{Y} \\ + \cmidrule(lr){2-3} + & (1) & (2) \\ + \midrule + \addlinespace[1ex] + X1 & \makecell{-0.95 \\ (0.066)} & \makecell{-0.924 \\ (0.056)} \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + X2 & \makecell{-0.174 \\ (0.018)} & \makecell{-0.174 \\ (0.015)} \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + f1 & x & x \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + f2 & - & x \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + Observations & 997 & 997 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + $R^2$ & 0.489 & 0.659 \\ + \addlinespace[0.5ex] + \bottomrule + \end{tabularx} + \endgroup + \noindent\begin{minipage}{\linewidth}\smallskip\footnotesize + Format of coefficient cell: Coefficient (Std. Error)\end{minipage} + + \end{threeparttable} + ''' +# --- +# name: TestEtableTex.test_tex_with_model_heads_d + ''' + \begin{threeparttable} + \begingroup + \renewcommand\cellalign{t} + \renewcommand\arraystretch{1} + \setlength{\tabcolsep}{3pt} + \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}l>{\centering\arraybackslash}X>{\centering\arraybackslash}X} + \toprule + & \multicolumn{2}{c}{Y} \\ + \cmidrule(lr){2-3} + & (1) & (2) \\ + \midrule + \addlinespace[1ex] + X1 & \makecell{-0.95 \\ (0.066)} & \makecell{-0.924 \\ (0.056)} \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + X2 & \makecell{-0.174 \\ (0.018)} & \makecell{-0.174 \\ (0.015)} \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + f1 & x & x \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + f2 & - & x \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + Observations & 997 & 997 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + $R^2$ & 0.489 & 0.659 \\ + \addlinespace[0.5ex] + \bottomrule + \end{tabularx} + \endgroup + \noindent\begin{minipage}{\linewidth}\smallskip\footnotesize + Format of coefficient cell: Coefficient (Std. Error)\end{minipage} + + \end{threeparttable} + ''' +# --- +# name: TestEtableTex.test_tex_with_model_heads_dh + ''' + \begin{threeparttable} + \begingroup + \renewcommand\cellalign{t} + \renewcommand\arraystretch{1} + \setlength{\tabcolsep}{3pt} + \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}l>{\centering\arraybackslash}X>{\centering\arraybackslash}X} + \toprule + & \multicolumn{2}{c}{Y} \\ + \cmidrule(lr){2-3} + & \multicolumn{1}{c}{Model A} & \multicolumn{1}{c}{Model B} \\ + \cmidrule(lr){2-2} \cmidrule(lr){3-3} + & (1) & (2) \\ + \midrule + \addlinespace[1ex] + X1 & \makecell{-0.95 \\ (0.066)} & \makecell{-0.924 \\ (0.056)} \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + X2 & \makecell{-0.174 \\ (0.018)} & \makecell{-0.174 \\ (0.015)} \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + f1 & x & x \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + f2 & - & x \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + Observations & 997 & 997 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + $R^2$ & 0.489 & 0.659 \\ + \addlinespace[0.5ex] + \bottomrule + \end{tabularx} + \endgroup + \noindent\begin{minipage}{\linewidth}\smallskip\footnotesize + Format of coefficient cell: Coefficient (Std. Error)\end{minipage} + + \end{threeparttable} + ''' +# --- +# name: TestEtableTex.test_tex_with_model_heads_h + ''' + \begin{threeparttable} + \begingroup + \renewcommand\cellalign{t} + \renewcommand\arraystretch{1} + \setlength{\tabcolsep}{3pt} + \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}l>{\centering\arraybackslash}X>{\centering\arraybackslash}X} + \toprule + & \multicolumn{1}{c}{Model A} & \multicolumn{1}{c}{Model B} \\ + \cmidrule(lr){2-2} \cmidrule(lr){3-3} + & (1) & (2) \\ + \midrule + \addlinespace[1ex] + X1 & \makecell{-0.95 \\ (0.066)} & \makecell{-0.924 \\ (0.056)} \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + X2 & \makecell{-0.174 \\ (0.018)} & \makecell{-0.174 \\ (0.015)} \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + f1 & x & x \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + f2 & - & x \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + Observations & 997 & 997 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + $R^2$ & 0.489 & 0.659 \\ + \addlinespace[0.5ex] + \bottomrule + \end{tabularx} + \endgroup + \noindent\begin{minipage}{\linewidth}\smallskip\footnotesize + Format of coefficient cell: Coefficient (Std. Error)\end{minipage} + + \end{threeparttable} + ''' +# --- +# name: TestEtableTex.test_tex_with_model_heads_hd + ''' + \begin{threeparttable} + \begingroup + \renewcommand\cellalign{t} + \renewcommand\arraystretch{1} + \setlength{\tabcolsep}{3pt} + \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}l>{\centering\arraybackslash}X>{\centering\arraybackslash}X} + \toprule + & \multicolumn{1}{c}{Model A} & \multicolumn{1}{c}{Model B} \\ + \cmidrule(lr){2-2} \cmidrule(lr){3-3} + & \multicolumn{2}{c}{Y} \\ + \cmidrule(lr){2-3} + & (1) & (2) \\ + \midrule + \addlinespace[1ex] + X1 & \makecell{-0.95 \\ (0.066)} & \makecell{-0.924 \\ (0.056)} \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + X2 & \makecell{-0.174 \\ (0.018)} & \makecell{-0.174 \\ (0.015)} \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + f1 & x & x \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + f2 & - & x \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + Observations & 997 & 997 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + $R^2$ & 0.489 & 0.659 \\ + \addlinespace[0.5ex] + \bottomrule + \end{tabularx} + \endgroup + \noindent\begin{minipage}{\linewidth}\smallskip\footnotesize + Format of coefficient cell: Coefficient (Std. Error)\end{minipage} + + \end{threeparttable} + ''' +# --- +# name: TestEtableTex.test_tex_with_notes + ''' + \begin{threeparttable} + \begingroup + \renewcommand\cellalign{t} + \renewcommand\arraystretch{1} + \setlength{\tabcolsep}{3pt} + \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}l>{\centering\arraybackslash}X>{\centering\arraybackslash}X} + \toprule + & \multicolumn{2}{c}{Y} \\ + \cmidrule(lr){2-3} + & (1) & (2) \\ + \midrule + \addlinespace[1ex] + X1 & \makecell{-0.95 \\ (0.066)} & \makecell{-0.924 \\ (0.056)} \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + X2 & \makecell{-0.174 \\ (0.018)} & \makecell{-0.174 \\ (0.015)} \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + f1 & x & x \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + f2 & - & x \\ + \addlinespace[0.5ex] + \midrule + \addlinespace[1ex] + Observations & 997 & 997 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + $R^2$ & 0.489 & 0.659 \\ + \addlinespace[0.5ex] + \bottomrule + \end{tabularx} + \endgroup + \noindent\begin{minipage}{\linewidth}\smallskip\footnotesize + Custom notes here.\end{minipage} + + \end{threeparttable} + ''' +# --- +# name: TestGelbachAdvancedParams.test_add_notes + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression. + Additional custom note for the table. +
+ +
+ + ''' +# --- +# name: TestGelbachAdvancedParams.test_rgroup_sep_b + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- +# name: TestGelbachAdvancedParams.test_rgroup_sep_none + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- +# name: TestGelbachAdvancedParams.test_rgroup_sep_t + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- +# name: TestGelbachAdvancedParams.test_rgroup_sep_tb + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- +# name: TestGelbachEtable.test_gelbach_basic_gt + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- +# name: TestGelbachEtable.test_gelbach_df + ''' + Initial Difference Adjusted Difference Explained Difference + Levels (units) x1 4.544 0.971 3.573 + x21 - - 1.937 + x22 - - 0.454 + x23 - - 1.181 + Share of Full Effect x1 1.000 0.214 0.786 + x21 - - 0.426 + x22 - - 0.100 + x23 - - 0.260 + Share of Explained Effect x1 - - 1.000 + x21 - - 0.542 + x22 - - 0.127 + x23 - - 0.331 + ''' +# --- +# name: TestGelbachEtable.test_gelbach_levels_panel + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units).
+ +
+ + ''' +# --- +# name: TestGelbachEtable.test_gelbach_share_explained_panel + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- +# name: TestGelbachEtable.test_gelbach_share_full_panel + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Share of Full Effect: Levels normalized by coefficient of the short regression.
+ +
+ + ''' +# --- +# name: TestGelbachEtable.test_gelbach_tex + ''' + \begin{threeparttable} + \begingroup + \renewcommand\cellalign{t} + \renewcommand\arraystretch{1} + \setlength{\tabcolsep}{3pt} + \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}l>{\centering\arraybackslash}X>{\centering\arraybackslash}X>{\centering\arraybackslash}X} + \toprule + & Initial Difference & Adjusted Difference & Explained Difference \\ + \midrule + \emph{Levels (units)} \\ + \addlinespace[0.5ex] + \addlinespace[1ex] + x1 & 4.544 & 0.971 & 3.573 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x21 & - & - & 1.937 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x22 & - & - & 0.454 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x23 & - & - & 1.181 \\ + \addlinespace[0.5ex] + \midrule + \emph{Share of Full Effect} \\ + \addlinespace[0.5ex] + \addlinespace[1ex] + x1 & 1.000 & 0.214 & 0.786 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x21 & - & - & 0.426 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x22 & - & - & 0.100 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x23 & - & - & 0.260 \\ + \addlinespace[0.5ex] + \midrule + \emph{Share of Explained Effect} \\ + \addlinespace[0.5ex] + \addlinespace[1ex] + x1 & - & - & 1.000 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x21 & - & - & 0.542 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x22 & - & - & 0.127 \\ + \addlinespace[0.5ex] + \addlinespace[0.5ex] + x23 & - & - & 0.331 \\ + \addlinespace[0.5ex] + \bottomrule + \end{tabularx} + \endgroup + \noindent\begin{minipage}{\linewidth}\smallskip\footnotesize + + Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.\end{minipage} + + \end{threeparttable} + ''' +# --- +# name: TestGelbachEtable.test_gelbach_with_caption + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Gelbach Decomposition Results
Initial DifferenceAdjusted DifferenceExplained Difference
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- +# name: TestGelbachEtable.test_gelbach_with_column_heads + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
TotalDirectMediated
Levels (units)
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Full Effect
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained Effect
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- +# name: TestGelbachEtable.test_gelbach_with_panel_heads + ''' +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Initial DifferenceAdjusted DifferenceExplained Difference
Absolute Values
x14.5440.9713.573
x21--1.937
x22--0.454
x23--1.181
Share of Total
x11.0000.2140.786
x21--0.426
x22--0.100
x23--0.260
Share of Explained
x1--1.000
x21--0.542
x22--0.127
x23--0.331
+ Decomposition variable: x1. + Col 1: Raw Difference - Coefficient on x1 in short regression . + Col 2: Adjusted Difference - Coefficient on x1 in long regression. + Col 3: Explained Difference - Difference in coefficients of x1 in short and long regression. + Panel 1: Levels (units). + Panel 2: Share of Full Effect: Levels normalized by coefficient of the short regression. + Panel 3: Share of Explained Effect: Levels normalized by coefficient of the long regression.
+ +
+ + ''' +# --- diff --git a/tests/__snapshots__/test_plots_snapshot.ambr b/tests/__snapshots__/test_plots_snapshot.ambr new file mode 100644 index 000000000..6b962c2b7 --- /dev/null +++ b/tests/__snapshots__/test_plots_snapshot.ambr @@ -0,0 +1,25337 @@ +# serializer version: 1 +# name: TestCoefplotLetsPlot.test_basic + ''' + + + + + + + +
+ + + + ''' +# --- +# name: TestCoefplotLetsPlot.test_coord_flip_false + ''' + + + + + + + +
+ + + + ''' +# --- +# name: TestCoefplotLetsPlot.test_multi_model + ''' + + + + + + + +
+ + + + ''' +# --- +# name: TestCoefplotLetsPlot.test_rotate_xticks + ''' + + + + + + + +
+ + + + ''' +# --- +# name: TestCoefplotLetsPlot.test_with_title + ''' + + + + + + + +
+ + + + ''' +# --- +# name: TestCoefplotMatplotlib.test_basic + ''' + + + + + + + + NORMALIZED + image/svg+xml + + + Matplotlib v3.10.8, https://matplotlib.org/ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ''' +# --- +# name: TestCoefplotMatplotlib.test_coord_flip_false + ''' + + + + + + + + NORMALIZED + image/svg+xml + + + Matplotlib v3.10.8, https://matplotlib.org/ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ''' +# --- +# name: TestCoefplotMatplotlib.test_exact_match + ''' + + + + + + + + NORMALIZED + image/svg+xml + + + Matplotlib v3.10.8, https://matplotlib.org/ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ''' +# --- +# name: TestCoefplotMatplotlib.test_joint_both + ''' + + + + + + + + NORMALIZED + image/svg+xml + + + Matplotlib v3.10.8, https://matplotlib.org/ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ''' +# --- diff --git a/tests/test_etable_snapshot.py b/tests/test_etable_snapshot.py new file mode 100644 index 000000000..7de42cfc7 --- /dev/null +++ b/tests/test_etable_snapshot.py @@ -0,0 +1,538 @@ +"""Snapshot tests for etable() output formats. + +These tests use syrupy to capture and verify the exact output of etable() +across different output formats (gt, tex, md, df, html). + +Run with: pixi run -e snapshot snapshot-test +Update snapshots with: pixi run -e snapshot snapshot-update +""" + +import io +import re +import sys + +import pytest +from syrupy.assertion import SnapshotAssertion + +import pyfixest as pf +from pyfixest.report.summarize import etable +from pyfixest.utils.dgps import gelbach_data +from pyfixest.utils.utils import get_data + + +def normalize_gt_html(html: str) -> str: + """Normalize Great Tables HTML by replacing dynamic IDs with a constant. + + Great Tables generates random IDs like 'ypgifbnuug' for each table, + which causes snapshot tests to fail. This function replaces them with + a constant ID 'gt_table' for stable comparisons. + """ + # Find the dynamic ID pattern (10 lowercase letters) + pattern = r'id="([a-z]{10})"' + match = re.search(pattern, html) + if match: + dynamic_id = match.group(1) + # Replace all occurrences of the dynamic ID + html = html.replace(dynamic_id, "gt_table") + return html + + +# ============================================================================ +# Fixtures +# ============================================================================ + + +@pytest.fixture +def basic_models(): + """Create basic models for snapshot testing.""" + df = get_data() + fit1 = pf.feols("Y ~ X1 + X2 | f1", data=df) + fit2 = pf.feols("Y ~ X1 + X2 | f1 + f2", data=df) + return [fit1, fit2] + + +@pytest.fixture +def single_model(): + """Create a single model for snapshot testing.""" + df = get_data() + return pf.feols("Y ~ X1 + X2 | f1", data=df) + + +@pytest.fixture +def iv_model(): + """Create an IV model for snapshot testing.""" + df = get_data() + return pf.feols("Y ~ X2 | f1 | X1 ~ Z1", data=df) + + +@pytest.fixture +def poisson_model(): + """Create a Poisson model for snapshot testing.""" + df = get_data(model="Fepois") + return pf.fepois("Y ~ X1 + X2 + f2 | f1", data=df, vcov={"CRV1": "f1+f2"}) + + +@pytest.fixture +def gelbach_decomposition(): + """Create Gelbach decomposition for snapshot testing.""" + data = gelbach_data(nobs=200) + fit = pf.feols("y ~ x1 + x21 + x22 + x23", data=data) + gb = fit.decompose(param="x1", seed=98765, reps=25, only_coef=True) + return gb + + +@pytest.fixture +def fixest_multi(): + """Create a FixestMulti object for snapshot testing.""" + df = get_data() + return pf.feols("Y + Y2 ~ X1 + X2 | f1", data=df) + + +@pytest.fixture +def model_with_categoricals(): + """Create a model with categorical variables for cat_template testing.""" + df = get_data() + return pf.feols("Y ~ X1 + C(f1) + C(f2)", data=df) + + +# ============================================================================ +# Helper for markdown output (prints to stdout) +# ============================================================================ + + +def capture_md_output(models, **kwargs): + """Capture markdown output from etable which prints to stdout.""" + captured = io.StringIO() + old_stdout = sys.stdout + sys.stdout = captured + try: + etable(models, type="md", **kwargs) + finally: + sys.stdout = old_stdout + return captured.getvalue() + + +# ============================================================================ +# Snapshot Tests: Basic etable() - GT format +# ============================================================================ + + +@pytest.mark.snapshot +class TestEtableGt: + """Snapshot tests for etable() with type='gt'.""" + + def test_basic_gt(self, basic_models, snapshot: SnapshotAssertion): + """Test basic GT table output.""" + result = etable(basic_models, type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_single_model_gt(self, single_model, snapshot: SnapshotAssertion): + """Test GT output with single model.""" + result = etable(single_model, type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gt_with_significance_codes( + self, basic_models, snapshot: SnapshotAssertion + ): + """Test GT with custom significance codes.""" + result = etable(basic_models, type="gt", signif_code=[0.01, 0.05, 0.1]) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gt_with_coef_fmt(self, basic_models, snapshot: SnapshotAssertion): + """Test GT with custom coefficient format.""" + result = etable(basic_models, type="gt", coef_fmt="b (se)\nt [p]") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gt_with_keep(self, basic_models, snapshot: SnapshotAssertion): + """Test GT with keep parameter.""" + result = etable(basic_models, type="gt", keep=["X1"]) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gt_with_drop(self, basic_models, snapshot: SnapshotAssertion): + """Test GT with drop parameter.""" + result = etable(basic_models, type="gt", drop=["X2"]) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gt_with_labels(self, basic_models, snapshot: SnapshotAssertion): + """Test GT with custom labels.""" + result = etable( + basic_models, + type="gt", + labels={"X1": "Variable One", "X2": "Variable Two"}, + felabels={"f1": "Fixed Effect 1", "f2": "Fixed Effect 2"}, + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gt_with_notes(self, basic_models, snapshot: SnapshotAssertion): + """Test GT with custom notes.""" + result = etable(basic_models, type="gt", notes="Custom notes for this table.") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gt_with_model_heads(self, basic_models, snapshot: SnapshotAssertion): + """Test GT with custom model headers.""" + result = etable( + basic_models, type="gt", model_heads=["Model A", "Model B"], head_order="dh" + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + +# ============================================================================ +# Snapshot Tests: etable() - LaTeX format +# ============================================================================ + + +@pytest.mark.snapshot +class TestEtableTex: + """Snapshot tests for etable() with type='tex'.""" + + def test_basic_tex(self, basic_models, snapshot: SnapshotAssertion): + """Test basic LaTeX table output.""" + result = etable(basic_models, type="tex") + assert result == snapshot + + def test_tex_with_notes(self, basic_models, snapshot: SnapshotAssertion): + """Test LaTeX with custom notes.""" + result = etable(basic_models, type="tex", notes="Custom notes here.") + assert result == snapshot + + def test_tex_with_model_heads_dh(self, basic_models, snapshot: SnapshotAssertion): + """Test LaTeX with custom model headers (dh order).""" + result = etable( + basic_models, + type="tex", + model_heads=["Model A", "Model B"], + head_order="dh", + ) + assert result == snapshot + + def test_tex_with_model_heads_hd(self, basic_models, snapshot: SnapshotAssertion): + """Test LaTeX with custom model headers (hd order).""" + result = etable( + basic_models, + type="tex", + model_heads=["Model A", "Model B"], + head_order="hd", + ) + assert result == snapshot + + def test_tex_with_model_heads_h(self, basic_models, snapshot: SnapshotAssertion): + """Test LaTeX with custom model headers (h only).""" + result = etable( + basic_models, + type="tex", + model_heads=["Model A", "Model B"], + head_order="h", + ) + assert result == snapshot + + def test_tex_with_model_heads_d(self, basic_models, snapshot: SnapshotAssertion): + """Test LaTeX with custom model headers (d only).""" + result = etable( + basic_models, + type="tex", + model_heads=["Model A", "Model B"], + head_order="d", + ) + assert result == snapshot + + +# ============================================================================ +# Snapshot Tests: etable() - Markdown format +# ============================================================================ + + +@pytest.mark.snapshot +class TestEtableMd: + """Snapshot tests for etable() with type='md'.""" + + def test_basic_md(self, basic_models, snapshot: SnapshotAssertion): + """Test basic markdown output.""" + result = capture_md_output(basic_models) + assert result == snapshot + + def test_md_with_notes(self, basic_models, snapshot: SnapshotAssertion): + """Test markdown with notes.""" + result = capture_md_output(basic_models, notes="Markdown notes.") + assert result == snapshot + + +# ============================================================================ +# Snapshot Tests: etable() - DataFrame format +# ============================================================================ + + +@pytest.mark.snapshot +class TestEtableDf: + """Snapshot tests for etable() with type='df'.""" + + def test_basic_df(self, basic_models, snapshot: SnapshotAssertion): + """Test basic DataFrame output.""" + result = etable(basic_models, type="df") + # Convert to string for stable snapshot comparison + assert result.to_string() == snapshot + + def test_df_with_custom_stats(self, basic_models, snapshot: SnapshotAssertion): + """Test DataFrame with custom statistics.""" + fit1, fit2 = basic_models + result = etable( + models=basic_models, + type="df", + custom_stats={ + "conf_int_lb": [fit1._conf_int[0], fit2._conf_int[0]], + "conf_int_ub": [fit1._conf_int[1], fit2._conf_int[1]], + }, + coef_fmt="b [conf_int_lb, conf_int_ub]", + ) + assert result.to_string() == snapshot + + +# ============================================================================ +# Snapshot Tests: etable() - HTML format +# ============================================================================ + + +@pytest.mark.snapshot +class TestEtableHtml: + """Snapshot tests for etable() with type='html'.""" + + def test_basic_html(self, basic_models, snapshot: SnapshotAssertion): + """Test basic HTML output.""" + result = etable(basic_models, type="html") + assert normalize_gt_html(result) == snapshot + + +# ============================================================================ +# Snapshot Tests: Special Model Types +# ============================================================================ + + +@pytest.mark.snapshot +class TestEtableSpecialModels: + """Snapshot tests for etable() with special model types.""" + + def test_iv_model(self, iv_model, single_model, snapshot: SnapshotAssertion): + """Test etable with IV model.""" + result = etable([iv_model, single_model], type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_poisson_model(self, poisson_model, snapshot: SnapshotAssertion): + """Test etable with Poisson model.""" + result = etable(poisson_model, type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_mixed_models( + self, basic_models, poisson_model, snapshot: SnapshotAssertion + ): + """Test etable with mixed model types.""" + result = etable([*basic_models, poisson_model], type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + +# ============================================================================ +# Snapshot Tests: Advanced etable() Parameters +# ============================================================================ + + +@pytest.mark.snapshot +class TestEtableAdvancedParams: + """Snapshot tests for etable() advanced parameters.""" + + def test_custom_model_stats(self, basic_models, snapshot: SnapshotAssertion): + """Test etable with custom_model_stats.""" + fit1, fit2 = basic_models + result = etable( + basic_models, + type="gt", + custom_model_stats={ + "Mean Y": [fit1._Y.mean(), fit2._Y.mean()], + }, + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_exact_match(self, basic_models, snapshot: SnapshotAssertion): + """Test etable with exact_match=True for keep parameter.""" + result = etable(basic_models, type="gt", keep=["X1"], exact_match=True) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_cat_template(self, model_with_categoricals, snapshot: SnapshotAssertion): + """Test etable with cat_template for categorical variable labels.""" + result = etable( + model_with_categoricals, + type="gt", + cat_template="{variable}={value_int}", # Custom format for categorical vars + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_show_fe_false(self, basic_models, snapshot: SnapshotAssertion): + """Test etable with show_fe=False to hide fixed effects panel.""" + result = etable(basic_models, type="gt", show_fe=False) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_custom_fe_symbols(self, basic_models, snapshot: SnapshotAssertion): + """Test etable with custom fixed effects symbols.""" + result = etable(basic_models, type="gt", fe_present="Yes", fe_absent="No") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_thousands_sep(self, basic_models, snapshot: SnapshotAssertion): + """Test etable with thousands separator enabled.""" + result = etable(basic_models, type="gt", thousands_sep=True) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_scientific_notation(self, basic_models, snapshot: SnapshotAssertion): + """Test etable with scientific notation disabled.""" + result = etable(basic_models, type="gt", scientific_notation=False) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_digits(self, basic_models, snapshot: SnapshotAssertion): + """Test etable with custom digits for rounding.""" + result = etable(basic_models, type="gt", digits=5) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + +# ============================================================================ +# Snapshot Tests: Model Input Variations +# ============================================================================ + + +@pytest.mark.snapshot +class TestEtableModelInputs: + """Snapshot tests for different model input types to etable().""" + + def test_fixest_multi_direct(self, fixest_multi, snapshot: SnapshotAssertion): + """Test etable with FixestMulti object passed directly.""" + result = etable(fixest_multi, type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_fixest_multi_method(self, fixest_multi, snapshot: SnapshotAssertion): + """Test FixestMulti.etable() method directly.""" + result = fixest_multi.etable(type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_fixest_multi_to_list(self, fixest_multi, snapshot: SnapshotAssertion): + """Test etable with FixestMulti.to_list() as input.""" + result = etable(fixest_multi.to_list(), type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_explicit_model_list(self, snapshot: SnapshotAssertion): + """Test etable with explicit list of different models.""" + df = get_data() + fit1 = pf.feols("Y ~ X1", data=df) + fit2 = pf.feols("Y ~ X1 + X2", data=df) + fit3 = pf.feols("Y ~ X1 + X2 | f1", data=df) + result = etable([fit1, fit2, fit3], type="gt") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + +# ============================================================================ +# Snapshot Tests: GelbachDecomposition.etable() +# ============================================================================ + + +@pytest.mark.snapshot +class TestGelbachEtable: + """Snapshot tests for GelbachDecomposition.etable().""" + + def test_gelbach_basic_gt(self, gelbach_decomposition, snapshot: SnapshotAssertion): + """Test basic Gelbach decomposition table.""" + result = gelbach_decomposition.etable(type="gt", digits=3) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gelbach_levels_panel( + self, gelbach_decomposition, snapshot: SnapshotAssertion + ): + """Test Gelbach with levels panel only.""" + result = gelbach_decomposition.etable(panels="levels", type="gt", digits=3) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gelbach_share_full_panel( + self, gelbach_decomposition, snapshot: SnapshotAssertion + ): + """Test Gelbach with share_full panel only.""" + result = gelbach_decomposition.etable(panels="share_full", type="gt", digits=3) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gelbach_share_explained_panel( + self, gelbach_decomposition, snapshot: SnapshotAssertion + ): + """Test Gelbach with share_explained panel only.""" + result = gelbach_decomposition.etable( + panels="share_explained", type="gt", digits=3 + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gelbach_with_caption( + self, gelbach_decomposition, snapshot: SnapshotAssertion + ): + """Test Gelbach with custom caption.""" + result = gelbach_decomposition.etable( + caption="Gelbach Decomposition Results", type="gt", digits=3 + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gelbach_with_column_heads( + self, gelbach_decomposition, snapshot: SnapshotAssertion + ): + """Test Gelbach with custom column headers.""" + result = gelbach_decomposition.etable( + column_heads=["Total", "Direct", "Mediated"], type="gt", digits=3 + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gelbach_with_panel_heads( + self, gelbach_decomposition, snapshot: SnapshotAssertion + ): + """Test Gelbach with custom panel headers.""" + result = gelbach_decomposition.etable( + panels="all", + panel_heads=["Absolute Values", "Share of Total", "Share of Explained"], + type="gt", + digits=3, + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_gelbach_tex(self, gelbach_decomposition, snapshot: SnapshotAssertion): + """Test Gelbach decomposition LaTeX output.""" + result = gelbach_decomposition.etable(type="tex", digits=3) + assert result == snapshot + + def test_gelbach_df(self, gelbach_decomposition, snapshot: SnapshotAssertion): + """Test Gelbach decomposition DataFrame output.""" + result = gelbach_decomposition.etable(type="df", digits=3) + assert result.to_string() == snapshot + + +# ============================================================================ +# Snapshot Tests: GelbachDecomposition Advanced Parameters +# ============================================================================ + + +@pytest.mark.snapshot +class TestGelbachAdvancedParams: + """Snapshot tests for GelbachDecomposition.etable() advanced parameters.""" + + def test_rgroup_sep_tb(self, gelbach_decomposition, snapshot: SnapshotAssertion): + """Test Gelbach with rgroup_sep='tb' (top and bottom separators).""" + result = gelbach_decomposition.etable(type="gt", digits=3, rgroup_sep="tb") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_rgroup_sep_t(self, gelbach_decomposition, snapshot: SnapshotAssertion): + """Test Gelbach with rgroup_sep='t' (top separator only).""" + result = gelbach_decomposition.etable(type="gt", digits=3, rgroup_sep="t") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_rgroup_sep_b(self, gelbach_decomposition, snapshot: SnapshotAssertion): + """Test Gelbach with rgroup_sep='b' (bottom separator only).""" + result = gelbach_decomposition.etable(type="gt", digits=3, rgroup_sep="b") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_rgroup_sep_none(self, gelbach_decomposition, snapshot: SnapshotAssertion): + """Test Gelbach with rgroup_sep='' (no separators).""" + result = gelbach_decomposition.etable(type="gt", digits=3, rgroup_sep="") + assert normalize_gt_html(result.as_raw_html()) == snapshot + + def test_add_notes(self, gelbach_decomposition, snapshot: SnapshotAssertion): + """Test Gelbach with add_notes parameter.""" + result = gelbach_decomposition.etable( + type="gt", digits=3, add_notes="Additional custom note for the table." + ) + assert normalize_gt_html(result.as_raw_html()) == snapshot diff --git a/tests/test_plots.py b/tests/test_plots.py deleted file mode 100644 index b6769c364..000000000 --- a/tests/test_plots.py +++ /dev/null @@ -1,342 +0,0 @@ -from unittest.mock import patch - -import matplotlib -import pandas as pd -import pytest - -import pyfixest as pf -from pyfixest.estimation.estimation import feols -from pyfixest.report.visualize import _HAS_LETS_PLOT, coefplot, iplot, set_figsize -from pyfixest.utils.utils import get_data - -matplotlib.use("Agg") # Use a non-interactive backend - - -@pytest.fixture -def data(): - data = get_data() - data["f2"] = pd.Categorical(data["f2"]) - return data - - -@pytest.fixture -def fit1(data): - return feols(fml="Y ~ i(f2, X1) | f1", data=data, vcov="iid") - - -@pytest.fixture -def fit2(data): - return feols(fml="Y ~ i(f2, X1) | f2", data=data, vcov="iid") - - -@pytest.fixture -def fit3(data): - return feols(fml="Y ~ i(f2, X1, ref=1.0)", data=data, vcov="iid") - - -@pytest.fixture -def fit4(data): - return feols(fml="Y ~ i(f2)", data=data, vcov="iid") - - -@pytest.fixture -def fit_multi(data): - return feols(fml="Y + Y2 ~ i(f2, X1)", data=data) - - -@pytest.mark.extended -@pytest.mark.parametrize( - argnames="figsize", - argvalues=[(10, 6), None], -) -@pytest.mark.parametrize( - argnames="plot_backend", - argvalues=["lets_plot", "matplotlib"], - ids=["lets_plot", "matplotlib"], -) -def test_set_figsize(figsize, plot_backend): - if plot_backend == "lets_plot" and not _HAS_LETS_PLOT: - pytest.skip("lets-plot is not installed") - - figsize_not_none = set_figsize(figsize, plot_backend) - - if figsize is None: - if plot_backend == "lets_plot": - assert figsize_not_none == (500, 300) - elif plot_backend == "matplotlib": - assert figsize_not_none == (10, 6) - else: - assert figsize_not_none == figsize - - -@pytest.mark.extended -def test_set_figsize_not_none_bad_backend(): - figsize_not_none = set_figsize((10, 6), "bad_backend") - assert figsize_not_none == (10, 6) - - -@pytest.mark.extended -def test_set_figsize_none_bad_backend(): - with pytest.raises( - ValueError, match=r"plot_backend must be either 'lets_plot' or 'matplotlib'\." - ): - set_figsize(None, "bad_backend") - - -@pytest.mark.parametrize( - argnames="plot_backend", - argvalues=["lets_plot", "matplotlib"], - ids=["lets_plot", "matplotlib"], -) -@pytest.mark.parametrize( - argnames="figsize", argvalues=[(10, 6), None], ids=["figsize", "no_figsize"] -) -@pytest.mark.parametrize( - argnames="yintercept", argvalues=[1.0, None], ids=["yintercept", "no_yintercept"] -) -@pytest.mark.parametrize( - argnames="xintercept", argvalues=[2.0, None], ids=["xintercept", "no_xintercept"] -) -@pytest.mark.parametrize( - argnames="drop", argvalues=[None, "T.12"], ids=["drop", "no_drop"] -) -@pytest.mark.parametrize( - argnames="title", argvalues=[None, "Title"], ids=["no_title", "title"] -) -@pytest.mark.parametrize( - argnames="coord_flip", argvalues=[True, False], ids=["coord_flip", "no_coord_flip"] -) -@pytest.mark.parametrize( - argnames="labels", - argvalues=[None, {"f2": "F2", "X1": "1x"}], - ids=["no_labels", "labels"], -) -@pytest.mark.extended -def test_iplot( - fit1, - fit2, - fit3, - fit4, - fit_multi, - plot_backend, - figsize, - yintercept, - xintercept, - drop, - title, - coord_flip, - labels, -): - if plot_backend == "lets_plot" and not _HAS_LETS_PLOT: - pytest.skip("lets-plot is not installed") - - plot_kwargs = { - "plot_backend": plot_backend, - "figsize": figsize, - "yintercept": yintercept, - "xintercept": xintercept, - "drop": drop, - "title": title, - "coord_flip": coord_flip, - "labels": labels, - } - - fit1.iplot(**plot_kwargs) - fit2.iplot(**plot_kwargs) - fit3.iplot(**plot_kwargs) - fit4.iplot(**plot_kwargs) - fit_multi.iplot(**plot_kwargs) - - iplot(fit1, **plot_kwargs) - iplot([fit1, fit2], **plot_kwargs) - - -@pytest.mark.extended -def test_iplot_error(data): - with pytest.raises(ValueError): - fit4 = feols(fml="Y ~ X1", data=data, vcov="iid") - fit4.iplot() - iplot(fit4) - - -@pytest.mark.parametrize( - argnames="plot_backend", - argvalues=["lets_plot", "matplotlib"], - ids=["lets_plot", "matplotlib"], -) -@pytest.mark.parametrize( - argnames="figsize", argvalues=[(10, 6), None], ids=["figsize", "no_figsize"] -) -@pytest.mark.parametrize( - argnames="yintercept", argvalues=[1.0, None], ids=["yintercept", "no_yintercept"] -) -@pytest.mark.parametrize( - argnames="xintercept", argvalues=[2.0, None], ids=["xintercept", "no_xintercept"] -) -@pytest.mark.parametrize( - argnames="keep", argvalues=[None, "X"], ids=["keep", "no_keep"] -) -@pytest.mark.parametrize( - argnames="drop", argvalues=[None, "X"], ids=["drop", "no_drop"] -) -@pytest.mark.parametrize( - argnames="title", argvalues=[None, "Title"], ids=["no_title", "title"] -) -@pytest.mark.parametrize( - argnames="coord_flip", argvalues=[True, False], ids=["coord_flip", "no_coord_flip"] -) -@pytest.mark.parametrize( - argnames="labels", - argvalues=[None, {"f2": "F2", "X1": "1x"}], - ids=["no_labels", "labels"], -) -@pytest.mark.extended -def test_coefplot( - fit1, - fit2, - fit3, - fit4, - fit_multi, - plot_backend, - figsize, - yintercept, - xintercept, - keep, - drop, - title, - coord_flip, - labels, -): - if plot_backend == "lets_plot" and not _HAS_LETS_PLOT: - pytest.skip("lets-plot is not installed") - - plot_kwargs = { - "plot_backend": plot_backend, - "figsize": figsize, - "yintercept": yintercept, - "xintercept": xintercept, - "keep": keep, - "drop": drop, - "title": title, - "coord_flip": coord_flip, - "labels": labels, - } - - fit1.coefplot(**plot_kwargs) - fit2.coefplot(**plot_kwargs) - fit3.coefplot(**plot_kwargs) - fit4.coefplot(**plot_kwargs) - coefplot(fit1, **plot_kwargs) - coefplot([fit1, fit2], **plot_kwargs) - fit_multi.coefplot(**plot_kwargs) - - -@pytest.mark.extended -@patch("pyfixest.report.visualize._coefplot_matplotlib") -def test_coefplot_default_figsize_matplotlib(_coefplot_matplotlib_mock, fit1, data): - coefplot(fit1, plot_backend="matplotlib") - _, kwargs = _coefplot_matplotlib_mock.call_args - assert kwargs.get("figsize") == (10, 6) - - -@pytest.mark.extended -@patch("pyfixest.report.visualize._coefplot_matplotlib") -def test_coefplot_non_default_figsize_matplotlib(_coefplot_matplotlib_mock, fit1, data): - coefplot(fit1, figsize=(12, 7), plot_backend="matplotlib") - _, kwargs = _coefplot_matplotlib_mock.call_args - assert kwargs.get("figsize") == (12, 7) - - -@pytest.mark.extended -@patch("pyfixest.report.visualize._coefplot_lets_plot") -def test_coefplot_default_figsize_lets_plot(_coefplot_lets_plot_mock, fit1, data): - if not _HAS_LETS_PLOT: - pytest.skip("lets-plot is not installed") - - coefplot(fit1, plot_backend="lets_plot") - _, kwargs = _coefplot_lets_plot_mock.call_args - assert kwargs.get("figsize") == (500, 300) - - -@pytest.mark.extended -@patch("pyfixest.report.visualize._coefplot_lets_plot") -def test_coefplot_non_default_figsize_lets_plot(_coefplot_lets_plot_mock, fit1, data): - if not _HAS_LETS_PLOT: - pytest.skip("lets-plot is not installed") - - coefplot(fit1, figsize=(600, 400), plot_backend="lets_plot") - _, kwargs = _coefplot_lets_plot_mock.call_args - assert kwargs.get("figsize") == (600, 400) - - -def test_rename_models(): - # Skip the entire test if lets-plot is not installed - # This is because the default backend is lets-plot if available - if not _HAS_LETS_PLOT: - pytest.skip("lets-plot is not installed") - - df = pf.get_data() - fit1 = pf.feols("Y ~ i(f1)", data=df) - fit2 = pf.feols("Y ~ i(f1) + f2", data=df) - - pf.iplot( - models=[fit1, fit2], - rename_models={"Y~i(f1)": "Model 1", "Y~i(f1)+f2": "Model 2"}, - ) - - pf.coefplot( - models=[fit1, fit2], - rename_models={"Y~i(f1)": "Model 1", "Y~i(f1)+f2": "Model 2"}, - ) - - fit_multi = pf.feols("Y ~ sw(f1, f2)", data=df) - fit_multi.coefplot(rename_models={"Y~f1": "Model 1", "Y~f2": "Model 2"}) - - pf.coefplot(models=[fit1], rename_models={"Y~i(f1)": "Model 1"}, joint=True) - - pf.coefplot(models=[fit1], rename_models={"Y~i(f1)": "Model 1"}, joint="both") - - with pytest.warns( - UserWarning, - match="The following model names specified in rename_models are not found in the models", - ): - coefplot(models=[fit1], rename_models={"Y~a": "Model 1"}, joint="bad") - - -def test_rename_models_matplotlib(): - """Test rename_models functionality with matplotlib backend.""" - df = pf.get_data() - fit1 = pf.feols("Y ~ i(f1)", data=df) - fit2 = pf.feols("Y ~ i(f1) + f2", data=df) - - pf.iplot( - models=[fit1, fit2], - rename_models={"Y~i(f1)": "Model 1", "Y~i(f1)+f2": "Model 2"}, - plot_backend="matplotlib", - ) - - pf.coefplot( - models=[fit1, fit2], - rename_models={"Y~i(f1)": "Model 1", "Y~i(f1)+f2": "Model 2"}, - plot_backend="matplotlib", - ) - - fit_multi = pf.feols("Y ~ sw(f1, f2)", data=df) - fit_multi.coefplot( - rename_models={"Y~f1": "Model 1", "Y~f2": "Model 2"}, - plot_backend="matplotlib", - ) - - pf.coefplot( - models=[fit1], - rename_models={"Y~i(f1)": "Model 1"}, - joint=True, - plot_backend="matplotlib", - ) - - pf.coefplot( - models=[fit1], - rename_models={"Y~i(f1)": "Model 1"}, - joint="both", - plot_backend="matplotlib", - ) diff --git a/tests/test_plots_snapshot.py b/tests/test_plots_snapshot.py new file mode 100644 index 000000000..e1174e261 --- /dev/null +++ b/tests/test_plots_snapshot.py @@ -0,0 +1,390 @@ +"""Snapshot tests for coefplot() and iplot() output. + +These tests use syrupy to capture and verify the exact visual output of +coefplot() and iplot() across matplotlib (SVG) and lets_plot (HTML) backends. + +Run with: pixi run -e snapshot snapshot-test +Update snapshots with: pixi run -e snapshot snapshot-update +""" + +import re +from io import BytesIO + +import matplotlib +import matplotlib.pyplot as plt +import pandas as pd +import pytest +from syrupy.assertion import SnapshotAssertion + +from pyfixest.estimation.estimation import feols +from pyfixest.report.visualize import _HAS_LETS_PLOT, coefplot, iplot +from pyfixest.utils.utils import get_data + +matplotlib.use("Agg") # Non-interactive backend for testing + + +# ============================================================================ +# Helper Functions +# ============================================================================ + + +def figure_to_svg(fig: plt.Figure) -> str: + """Convert matplotlib Figure to normalized SVG string.""" + buf = BytesIO() + fig.savefig(buf, format="svg") + buf.seek(0) + svg = buf.read().decode("utf-8") + plt.close(fig) # Clean up + return normalize_svg(svg) + + +def normalize_svg(svg: str) -> str: + """Normalize matplotlib SVG for stable snapshot comparison. + + Removes/normalizes: + - Timestamps in comments and metadata + - Randomly generated path/clip-path IDs (order-preserving replacement) + - Creation date metadata + - Version-specific generator comments + """ + # Remove matplotlib generator comments with version/date + svg = re.sub( + r"", "", svg + ) + + # Normalize date metadata with timestamp (e.g., 2025-12-24T17:12:55.033087) + svg = re.sub(r".*?", "NORMALIZED", svg) + + # Build a mapping of dynamic IDs to stable IDs in order of first appearance + id_mapping = {} + counters = {"clip": 0, "marker": 0, "font": 0, "path": 0} + + def get_stable_id(match): + """Replace dynamic ID with stable ID based on first appearance order.""" + full_id = match.group(1) + if full_id in id_mapping: + return f'id="{id_mapping[full_id]}"' + + # Determine ID type and assign stable name + if full_id.startswith("clip"): + stable = f"clip_{counters['clip']}" + counters["clip"] += 1 + elif full_id.startswith("m") and len(full_id) > 8: + stable = f"marker_{counters['marker']}" + counters["marker"] += 1 + elif full_id.startswith("DejaVu"): + stable = f"font_{counters['font']}" + counters["font"] += 1 + elif full_id.startswith("p") and len(full_id) > 8: + stable = f"path_{counters['path']}" + counters["path"] += 1 + else: + stable = f"id_{len(id_mapping)}" + + id_mapping[full_id] = stable + return f'id="{stable}"' + + # First pass: replace all id="..." definitions + svg = re.sub(r'id="([a-zA-Z][a-zA-Z0-9_-]*)"', get_stable_id, svg) + + # Second pass: replace all references (#id and url(#id)) + for old_id, new_id in id_mapping.items(): + svg = svg.replace(f"#{old_id}", f"#{new_id}") + svg = svg.replace(f'href="#{old_id}"', f'href="#{new_id}"') + + # Normalize other matplotlib-generated IDs (32-char hex) + svg = re.sub(r'id="([a-f0-9]{32})"', 'id="normalized_id"', svg) + + # Normalize image IDs that may vary + svg = re.sub(r'id="image[a-f0-9]+"', 'id="image_normalized"', svg) + + return svg + + +def letsplot_to_html(plot) -> str: + """Convert lets_plot ggplot object to normalized HTML string.""" + if not _HAS_LETS_PLOT: + pytest.skip("lets_plot not installed") + + import os + import tempfile + + from lets_plot import ggsave + + with tempfile.NamedTemporaryFile(suffix=".html", delete=False) as f: + filepath = f.name + try: + ggsave(plot, filepath, iframe=False) + with open(filepath) as f: + html = f.read() + return normalize_letsplot_html(html) + finally: + os.unlink(filepath) + + +def normalize_letsplot_html(html: str) -> str: + """Normalize lets_plot HTML for stable snapshot comparison. + + Removes/normalizes: + - Random element IDs + - Timestamp-based identifiers + - Version strings + """ + # Normalize random IDs in HTML attributes (typically short random strings like "4VqpcV") + html = re.sub(r'id="[a-zA-Z0-9_-]{4,32}"', 'id="lp_normalized"', html) + + # Normalize random IDs in JavaScript getElementById calls + html = re.sub( + r'getElementById\("[a-zA-Z0-9_-]{4,32}"\)', + 'getElementById("lp_normalized")', + html, + ) + + # Normalize data attributes with random values + html = re.sub(r'data-lets-plot-id="[^"]*"', 'data-lets-plot-id="normalized"', html) + + # Remove version-specific references + html = re.sub(r"lets-plot-[0-9.]+", "lets-plot-VERSION", html) + + # Normalize any UUID-like strings + html = re.sub( + r"[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}", + "UUID-NORMALIZED", + html, + ) + + return html + + +# ============================================================================ +# Fixtures +# ============================================================================ + + +@pytest.fixture(scope="module") +def plot_data(): + """Shared data for all plot tests.""" + data = get_data() + data["f2"] = pd.Categorical(data["f2"]) + return data + + +@pytest.fixture(scope="module") +def iplot_model(plot_data): + """Model with interaction variables for iplot.""" + return feols(fml="Y ~ i(f2, X1) | f1", data=plot_data, vcov="iid") + + +@pytest.fixture(scope="module") +def coefplot_model(plot_data): + """Create simple model for coefplot.""" + return feols(fml="Y ~ X1 + X2 | f1", data=plot_data, vcov="iid") + + +@pytest.fixture(scope="module") +def model_pair(plot_data): + """Two models for multi-model plots.""" + fit1 = feols(fml="Y ~ i(f1)", data=plot_data) + fit2 = feols(fml="Y ~ i(f1) + X2", data=plot_data) + return [fit1, fit2] + + +# ============================================================================ +# Coefplot Matplotlib Tests (10 tests) +# ============================================================================ + + +@pytest.mark.snapshot +class TestCoefplotMatplotlib: + """Snapshot tests for coefplot() with matplotlib backend.""" + + def test_basic(self, coefplot_model, snapshot: SnapshotAssertion): + """Basic coefplot with default settings.""" + fig = coefplot(coefplot_model, plot_backend="matplotlib") + assert figure_to_svg(fig) == snapshot + + def test_with_title(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot with custom title.""" + fig = coefplot(coefplot_model, plot_backend="matplotlib", title="Custom Title") + assert figure_to_svg(fig) == snapshot + + def test_coord_flip_false(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot without coordinate flip.""" + fig = coefplot(coefplot_model, plot_backend="matplotlib", coord_flip=False) + assert figure_to_svg(fig) == snapshot + + def test_with_intercepts(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot with reference lines.""" + fig = coefplot( + coefplot_model, plot_backend="matplotlib", yintercept=0, xintercept=2.0 + ) + assert figure_to_svg(fig) == snapshot + + def test_with_keep(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot filtering with keep.""" + fig = coefplot(coefplot_model, plot_backend="matplotlib", keep=["X1"]) + assert figure_to_svg(fig) == snapshot + + def test_exact_match(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot with exact_match for keep.""" + fig = coefplot( + coefplot_model, plot_backend="matplotlib", keep=["X1"], exact_match=True + ) + assert figure_to_svg(fig) == snapshot + + def test_rotate_xticks(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot with rotated labels.""" + fig = coefplot( + coefplot_model, + plot_backend="matplotlib", + rotate_xticks=45, + coord_flip=False, + ) + assert figure_to_svg(fig) == snapshot + + def test_labels(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot with custom labels.""" + fig = coefplot( + coefplot_model, + plot_backend="matplotlib", + labels={"X1": "Variable One", "X2": "Variable Two"}, + ) + assert figure_to_svg(fig) == snapshot + + def test_multi_model(self, model_pair, snapshot: SnapshotAssertion): + """Coefplot with multiple models.""" + fig = coefplot(model_pair, plot_backend="matplotlib") + assert figure_to_svg(fig) == snapshot + + def test_joint_both(self, iplot_model, snapshot: SnapshotAssertion): + """Coefplot with joint confidence intervals.""" + fig = coefplot(iplot_model, plot_backend="matplotlib", joint="both", seed=42) + assert figure_to_svg(fig) == snapshot + + +# ============================================================================ +# Iplot Matplotlib Tests (5 tests) +# ============================================================================ + + +@pytest.mark.snapshot +class TestIplotMatplotlib: + """Snapshot tests for iplot() with matplotlib backend.""" + + def test_basic(self, iplot_model, snapshot: SnapshotAssertion): + """Basic iplot with default settings.""" + fig = iplot(iplot_model, plot_backend="matplotlib") + assert figure_to_svg(fig) == snapshot + + def test_cat_template(self, iplot_model, snapshot: SnapshotAssertion): + """Iplot with cat_template.""" + fig = iplot(iplot_model, plot_backend="matplotlib", cat_template="{value}") + assert figure_to_svg(fig) == snapshot + + def test_alpha(self, iplot_model, snapshot: SnapshotAssertion): + """Iplot with 90% confidence intervals.""" + fig = iplot(iplot_model, plot_backend="matplotlib", alpha=0.1) + assert figure_to_svg(fig) == snapshot + + def test_drop(self, iplot_model, snapshot: SnapshotAssertion): + """Iplot with dropped coefficient.""" + fig = iplot(iplot_model, plot_backend="matplotlib", drop="T.12") + assert figure_to_svg(fig) == snapshot + + def test_multi_model(self, model_pair, snapshot: SnapshotAssertion): + """Iplot with multiple models.""" + fig = iplot(model_pair, plot_backend="matplotlib") + assert figure_to_svg(fig) == snapshot + + +# ============================================================================ +# Coefplot lets_plot Tests (5 tests) +# ============================================================================ + + +@pytest.mark.snapshot +class TestCoefplotLetsPlot: + """Snapshot tests for coefplot() with lets_plot backend.""" + + @pytest.fixture(autouse=True) + def skip_if_no_letsplot(self): + """Skip tests if lets_plot is not installed.""" + if not _HAS_LETS_PLOT: + pytest.skip("lets_plot not installed") + + def test_basic(self, coefplot_model, snapshot: SnapshotAssertion): + """Basic coefplot with lets_plot.""" + plot = coefplot(coefplot_model, plot_backend="lets_plot") + assert letsplot_to_html(plot) == snapshot + + def test_with_title(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot with title using lets_plot.""" + plot = coefplot(coefplot_model, plot_backend="lets_plot", title="Custom Title") + assert letsplot_to_html(plot) == snapshot + + def test_coord_flip_false(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot without coord_flip using lets_plot.""" + plot = coefplot(coefplot_model, plot_backend="lets_plot", coord_flip=False) + assert letsplot_to_html(plot) == snapshot + + def test_multi_model(self, model_pair, snapshot: SnapshotAssertion): + """Coefplot with multiple models using lets_plot.""" + plot = coefplot(model_pair, plot_backend="lets_plot") + assert letsplot_to_html(plot) == snapshot + + def test_rotate_xticks(self, coefplot_model, snapshot: SnapshotAssertion): + """Coefplot with rotated labels using lets_plot.""" + plot = coefplot( + coefplot_model, + plot_backend="lets_plot", + rotate_xticks=45, + coord_flip=False, + ) + assert letsplot_to_html(plot) == snapshot + + +# ============================================================================ +# Iplot lets_plot Tests (5 tests) +# ============================================================================ + + +@pytest.mark.snapshot +class TestIplotLetsPlot: + """Snapshot tests for iplot() with lets_plot backend.""" + + @pytest.fixture(autouse=True) + def skip_if_no_letsplot(self): + """Skip tests if lets_plot is not installed.""" + if not _HAS_LETS_PLOT: + pytest.skip("lets_plot not installed") + + def test_basic(self, iplot_model, snapshot: SnapshotAssertion): + """Basic iplot with lets_plot.""" + plot = iplot(iplot_model, plot_backend="lets_plot") + assert letsplot_to_html(plot) == snapshot + + def test_cat_template(self, iplot_model, snapshot: SnapshotAssertion): + """Iplot with cat_template using lets_plot.""" + plot = iplot( + iplot_model, plot_backend="lets_plot", cat_template="{variable}={value}" + ) + assert letsplot_to_html(plot) == snapshot + + def test_labels(self, iplot_model, snapshot: SnapshotAssertion): + """Iplot with custom labels using lets_plot.""" + plot = iplot(iplot_model, plot_backend="lets_plot", labels={"f2": "Factor 2"}) + assert letsplot_to_html(plot) == snapshot + + def test_joint(self, iplot_model, snapshot: SnapshotAssertion): + """Iplot with joint CIs using lets_plot.""" + plot = iplot(iplot_model, plot_backend="lets_plot", joint=True, seed=42) + assert letsplot_to_html(plot) == snapshot + + def test_rename_models(self, model_pair, snapshot: SnapshotAssertion): + """Iplot with renamed models using lets_plot.""" + plot = iplot( + model_pair, + plot_backend="lets_plot", + rename_models={"Y~i(f1)": "Model A", "Y~i(f1)+X2": "Model B"}, + ) + assert letsplot_to_html(plot) == snapshot diff --git a/tests/texfiles/test.tex b/tests/texfiles/test.tex index 85c14d5fb..770de6af6 100644 --- a/tests/texfiles/test.tex +++ b/tests/texfiles/test.tex @@ -4,6 +4,10 @@ \renewcommand\arraystretch{1} \setlength{\tabcolsep}{3pt} \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}X>{\centering\arraybackslash}X>{\centering\arraybackslash}X} +\begingroup +\renewcommand\arraystretch{1} +\setlength{\tabcolsep}{3pt} +\begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}X>{\centering\arraybackslash}X>{\centering\arraybackslash}X} \toprule & \multicolumn{2}{c}{Y} \\ \cmidrule(lr){2-3} @@ -16,19 +20,34 @@ X2 & \makecell{-0.174*** \\ (0.012)} & \makecell{-0.014 \\ (0.011)} \\ \addlinespace[0.5ex] \addlinespace[0.5ex] +\addlinespace[1ex] +X1 & \makecell{-0.95*** \\ (0.047)} & \makecell{0.004 \\ (0.033)} \\ +\addlinespace[0.5ex] +\addlinespace[0.5ex] +X2 & \makecell{-0.174*** \\ (0.012)} & \makecell{-0.014 \\ (0.011)} \\ +\addlinespace[0.5ex] +\addlinespace[0.5ex] f2 & & \makecell{0.003 \\ (0.004)} \\ \addlinespace[0.5ex] +\addlinespace[0.5ex] \midrule \addlinespace[1ex] +\addlinespace[1ex] f1 & x & x \\ \addlinespace[0.5ex] +\addlinespace[0.5ex] \midrule \addlinespace[1ex] Observations & 1,994 & 996 \\ \addlinespace[0.5ex] \addlinespace[0.5ex] +\addlinespace[1ex] +Observations & 1,994 & 996 \\ +\addlinespace[0.5ex] +\addlinespace[0.5ex] $R^2$ & 0.489 & - \\ \addlinespace[0.5ex] +\addlinespace[0.5ex] \bottomrule \end{tabularx} \endgroup