#add_derek
columns = fd.get('columns')or[]
#if columns != None and columns != '':
iflen(columns) >0:
collist=columns[0]
print(collist)
print(self.groupby)
print(df)
print('r9r9r9r99r9r9r')
#df_shadow=df
aa=df[collist]
bb=df[self.groupby]
cc=pd.merge(aa.to_frame(),bb.to_frame(),left_index=True,right_index=True)# make order col and display col
dd=cc.drop_duplicates([self.groupby])#drop duplicate
ee=dd.sort_values(by=collist)# make order
train_data=np.array(ee[self.groupby])
x_list=train_data.tolist()
df[self.groupby]=df['self.groupby'].astype('category')
df[self.groupby].cat.set_categories(x_list,inplace=True)
row=df.sort_values('月份',ascending=True)[self.metrics[0]].copy()
