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Smart_Map.py replace np.float for float #39

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Smart_Map.py replace np.float for float #39

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34 changes: 17 additions & 17 deletions Smart_Map.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1053,7 +1053,7 @@ def resampling_of_points(self, df):

lista_cut_xy = []

polygono = np.array(self.df_limite, dtype=np.float) #define the polygon = area of boundary
polygono = np.array(self.df_limite, dtype=float) #define the polygon = area of boundary
bbPath = mplPath.Path(polygono)

for i in range(len(arr_xy)):
Expand Down Expand Up @@ -1629,7 +1629,7 @@ def pushButton_ImportQGIS_clicked(self):
df_outlier = self.df.loc[self.df.index[self.list_index_outlier]]

self.data_outlier = df_outlier[[self.Cord_X, self.Cord_Y, self.v_target]]
self.data_outlier = np.array( self.data_outlier, dtype=np.float )
self.data_outlier = np.array( self.data_outlier, dtype=float )

self.df.drop(self.df.index[self.list_index_outlier], inplace=True)
self.df.reset_index(drop = True, inplace=True)
Expand All @@ -1643,7 +1643,7 @@ def pushButton_ImportQGIS_clicked(self):
#Calculando Max e Min para o mapa de contorno

self.data = self.df[[self.Cord_X, self.Cord_Y, self.v_target]]
self.data = np.array( self.data, dtype=np.float )
self.data = np.array( self.data, dtype=float )

self.Pixel_Size_X = self.dlg.SpinBox_Pixel_Size_X.value()

Expand Down Expand Up @@ -2286,7 +2286,7 @@ def pushButton_Area_Contorno_clicked(self):
self.df_limite = pd.concat([self.df_limite, self.df_limite.iloc[[0]]], ignore_index=True, axis = 0) #concantena depois da ultima linha a primeira linha para fechar a area de contorno


self.data_limite = np.array( self.df_limite, dtype=np.float )
self.data_limite = np.array( self.df_limite, dtype=float )

self.dlg.datatable_limite.setColumnCount(len(self.df_limite.columns))
self.dlg.datatable_limite.setRowCount(len(self.df_limite.index))
Expand Down Expand Up @@ -2365,7 +2365,7 @@ def pushButton_Area_Contorno_clicked(self):



polygono = np.array(self.df_limite, dtype=np.float) #define o polygono = area de contorno
polygono = np.array(self.df_limite, dtype=float) #define o polygono = area de contorno
bbPath = mplPath.Path(polygono)

#drop points out of polygon
Expand Down Expand Up @@ -2401,7 +2401,7 @@ def pushButton_Area_Contorno_clicked(self):

#plotar mapa de pontos e Area Limite
self.data = self.df[[self.Cord_X, self.Cord_Y, self.v_target]]
self.data = np.array( self.data, dtype=np.float )
self.data = np.array( self.data, dtype=float )



Expand Down Expand Up @@ -4701,7 +4701,7 @@ def pushButton_SVM_Add_Feature_clicked(self): #Adicionar coordenadas (X, Y)

lista_cut_xy = []

polygono = np.array(self.df_limite, dtype=np.float) #define o polygono = area de contorno
polygono = np.array(self.df_limite, dtype=float) #define o polygono = area de contorno
bbPath = mplPath.Path(polygono)

maximum = len(arr_xy)
Expand Down Expand Up @@ -5090,7 +5090,7 @@ def pushButton_SVM_Add_Feature_clicked(self): #Adicionar coordenadas (X, Y)
self.pushButton_Area_Contorno_clicked()


polygono = np.array(self.df_limite, dtype=np.float) #define o polygono = area de contorno
polygono = np.array(self.df_limite, dtype=float) #define o polygono = area de contorno
bbPath = mplPath.Path(polygono)

cont = 1
Expand Down Expand Up @@ -5158,7 +5158,7 @@ def pushButton_SVM_Add_Feature_clicked(self): #Adicionar coordenadas (X, Y)
gridy = np.arange(coord_y_min, coord_y_max, self.Pixel_Size_Y)

if self.dlg.checkBox_Area_Contorno.isChecked():
polygono = np.array(self.df_limite, dtype=np.float)#define o poly = area de contorno
polygono = np.array(self.df_limite, dtype=float)#define o poly = area de contorno
bbPath = mplPath.Path(polygono)


Expand Down Expand Up @@ -5449,7 +5449,7 @@ def pushButton_SVM_Add_Feature_clicked(self): #Adicionar coordenadas (X, Y)

if self.dlg.checkBox_Area_Contorno.isChecked():

polygono = np.array(self.df_limite, dtype=np.float) #define o polygono = area de contorno
polygono = np.array(self.df_limite, dtype=float) #define o polygono = area de contorno
bbPath = mplPath.Path(polygono)

cont = 1
Expand Down Expand Up @@ -5798,7 +5798,7 @@ def pushButton_SVM_clicked(self): #Realizar interpolação utilizando SVM

lista_cut_xy = []

polygono = np.array(self.df_limite, dtype=np.float) #define o polygono = area de contorno
polygono = np.array(self.df_limite, dtype=float) #define o polygono = area de contorno
bbPath = mplPath.Path(polygono)

maximum = len(arr_xy)
Expand Down Expand Up @@ -5853,9 +5853,9 @@ def pushButton_SVM_clicked(self): #Realizar interpolação utilizando SVM

#k_folds = self.dlg.spinBox_KFolds_CV.value() #numero de K-Folds para CV

features = np.array(self.df_SVM_Trainfeatures, dtype=np.float)
features = np.array(self.df_SVM_Trainfeatures, dtype=float)

labels = np.array(self.df_SVM_Trainlabels , dtype=np.float)
labels = np.array(self.df_SVM_Trainlabels , dtype=float)


maximum = (len(self.grid_xy) * 3) + 5
Expand Down Expand Up @@ -6164,9 +6164,9 @@ def pushButton_Validacao_Cruzada_SVM_clicked(self): #Vali
k_folds = 5


features = np.array(self.df_SVM_Trainfeatures, dtype=np.float)
features = np.array(self.df_SVM_Trainfeatures, dtype=float)

labels = np.array(self.df_SVM_Trainlabels , dtype=np.float)
labels = np.array(self.df_SVM_Trainlabels , dtype=float)


maximum = len(features) + (len(features) * 4) + 3
Expand Down Expand Up @@ -7261,7 +7261,7 @@ def pushButton_ZM_Calcular_clicked(self): #Definir as zonas de manejo utiliz
'''


data = np.array(self.df_ZM, dtype=np.float)
data = np.array(self.df_ZM, dtype=float)

X = np.copy(data[:, [0, 1]]) #pega todos os dados da matriz coluna 0 (Coord_X) e coluna 1 (Coord_Y)

Expand Down Expand Up @@ -8131,4 +8131,4 @@ def define_raster_color_ramp(self, layer, Output_Layer_Name):

layer.triggerRepaint()

############################################################ Aba para otimização #################################################################
############################################################ Aba para otimização #################################################################