black format

qlib/data/dataset/processor.py

@@ -100,7 +100,8 @@ class DropCol(Processor):
         else:
             mask = df.columns.isin(self.col_list)
         return df.loc[:, ~mask]
-        
+
+
 class TanhProcess(Processor):
     """ Use tanh to process noise data"""
 
@@ -133,6 +134,7 @@ class ProcessInf(Processor):
 
         return replace_inf(df)
 
+
 class Fillna(Processor):
     """Process NaN"""
 
@@ -270,6 +272,7 @@ class CSRankNorm(Processor):
         df[cols] = t
         return df
 
+
 class CSZFillna(Processor):
     """Cross Sectional Fill Nan"""
 
@@ -279,4 +282,4 @@ class CSZFillna(Processor):
     def __call__(self, df):
         cols = get_group_columns(df, self.fields_group)
         df[cols] = df[cols].groupby("datetime").apply(lambda x: x.fillna(x.mean()))
-        return df
+        return df