加入测试数据

data/graph/drawplot.py

@@ -35,13 +35,13 @@ def liftchart(df,x,y,classes='',bin=10,title='',xlabel='',ylabel=''):
         plt.subplot(2, 1,1)
         draw_lineplot(df_out,'grid','mean',hue=classes,title=title,xlabel=xlabel,ylabel=ylabel)
         plt.subplot(2, 1, 2)
-        draw_lineplot(df_out,'grid','acmEventRate',hue=classes,title=title,xlabel=xlabel,ylabel=ylabel)
+        draw_lineplot(df_out,'grid','acmMean',hue=classes,title=title,xlabel=xlabel,ylabel=ylabel)
     else :
         df_out = datacal.cal_accume(df, x, y, bin)
         plt.subplot(2, 1, 1)
         draw_lineplot(df_out, 'grid','mean', title=title, xlabel=xlabel, ylabel=ylabel)
         plt.subplot(2, 1, 2)
-        draw_lineplot(df_out, 'grid','acmEventRate', title=title, xlabel=xlabel, ylabel=ylabel)
+        draw_lineplot(df_out, 'grid','acmMean', title=title, xlabel=xlabel, ylabel=ylabel)
     plt.tight_layout()
     # plt.show()
     return plt
@@ -56,7 +56,6 @@ def univarchart(df,x,y,bin=10,classes='',title='',xlabel='',ylabel=''):
     '''
     plt.cla()
     plt.subplot(1, 1, 1)
-
     if classes !='':
         df_out = datacal.cal_univar(df, x, y, bin, classes=[classes])
         draw_lineplot(df_out,'grid','mean',hue=classes,title=title,xlabel=xlabel,ylabel=ylabel)

mvp/report.py

@@ -49,4 +49,5 @@ if __name__ == '__main__':
     label='y'
     df=pd.read_csv('test.csv')
     dftrain,dftest=datacal.split_train_val(df,trainsplit='timeSeries',trainsplitRatio=0.8,sort_col='applied_at')
-    xgbreport.report(dftrain,dftest,features,label,'','tmp.doc')
\ No newline at end of file
+
+    xgbreport.report(dftrain,dftest,features,label,'','tmp.doc')