Run black format

pandas/core/frame.py

@@ -2083,7 +2083,7 @@ def to_stata(
             data_label=data_label,
             write_index=write_index,
             variable_labels=variable_labels,
-            **kwargs
+            **kwargs,
         )
         writer.write_file()
 
@@ -2107,7 +2107,7 @@ def to_parquet(
         compression="snappy",
         index=None,
         partition_cols=None,
-        **kwargs
+        **kwargs,
     ):
         """
         Write a DataFrame to the binary parquet format.
@@ -2187,7 +2187,7 @@ def to_parquet(
             compression=compression,
             index=index,
             partition_cols=partition_cols,
-            **kwargs
+            **kwargs,
         )
 
     @Substitution(
@@ -4129,7 +4129,7 @@ def fillna(
         inplace=False,
         limit=None,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
         return super().fillna(
             value=value,
@@ -4138,7 +4138,7 @@ def fillna(
             inplace=inplace,
             limit=limit,
             downcast=downcast,
-            **kwargs
+            **kwargs,
         )
 
     @Appender(_shared_docs["replace"] % _shared_doc_kwargs)
@@ -6584,7 +6584,7 @@ def _gotitem(
         see_also=_agg_summary_and_see_also_doc,
         examples=_agg_examples_doc,
         versionadded="\n.. versionadded:: 0.20.0\n",
-        **_shared_doc_kwargs
+        **_shared_doc_kwargs,
     )
     @Appender(_shared_docs["aggregate"])
     def aggregate(self, func, axis=0, *args, **kwargs):

pandas/core/generic.py

@@ -2059,7 +2059,7 @@ def __getstate__(self):
             _typ=self._typ,
             _metadata=self._metadata,
             attrs=self.attrs,
-            **meta
+            **meta,
         )
 
     def __setstate__(self, state):
@@ -7053,7 +7053,7 @@ def interpolate(
         limit_direction="forward",
         limit_area=None,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
         """
         Interpolate values according to different methods.
@@ -7127,7 +7127,7 @@ def interpolate(
             limit_area=limit_area,
             inplace=inplace,
             downcast=downcast,
-            **kwargs
+            **kwargs,
         )
 
         if inplace:
@@ -7827,7 +7827,7 @@ def groupby(
         group_keys=True,
         squeeze=False,
         observed=False,
-        **kwargs
+        **kwargs,
     ):
         """
         Group DataFrame or Series using a mapper or by a Series of columns.
@@ -7953,7 +7953,7 @@ def groupby(
             group_keys=group_keys,
             squeeze=squeeze,
             observed=observed,
-            **kwargs
+            **kwargs,
         )
 
     def asfreq(self, freq, method=None, how=None, normalize=False, fill_value=None):
@@ -11580,7 +11580,7 @@ def stat_func(
         level=None,
         numeric_only=None,
         min_count=0,
-        **kwargs
+        **kwargs,
     ):
         if name == "sum":
             nv.validate_sum(tuple(), kwargs)

pandas/core/indexes/datetimes.py

@@ -1422,7 +1422,7 @@ def date_range(
     normalize=False,
     name=None,
     closed=None,
-    **kwargs
+    **kwargs,
 ):
     """
     Return a fixed frequency DatetimeIndex.
@@ -1572,7 +1572,7 @@ def date_range(
         tz=tz,
         normalize=normalize,
         closed=closed,
-        **kwargs
+        **kwargs,
     )
     return DatetimeIndex._simple_new(dtarr, tz=dtarr.tz, freq=dtarr.freq, name=name)
 
@@ -1588,7 +1588,7 @@ def bdate_range(
     weekmask=None,
     holidays=None,
     closed=None,
-    **kwargs
+    **kwargs,
 ):
     """
     Return a fixed frequency DatetimeIndex, with business day as the default
@@ -1681,7 +1681,7 @@ def bdate_range(
         normalize=normalize,
         name=name,
         closed=closed,
-        **kwargs
+        **kwargs,
     )
 
 

pandas/core/series.py

@@ -3796,7 +3796,7 @@ def _gotitem(self, key, ndim, subset=None):
         see_also=_agg_see_also_doc,
         examples=_agg_examples_doc,
         versionadded="\n.. versionadded:: 0.20.0\n",
-        **_shared_doc_kwargs
+        **_shared_doc_kwargs,
     )
     @Appender(generic._shared_docs["aggregate"])
     def aggregate(self, func, axis=0, *args, **kwargs):
@@ -4020,7 +4020,7 @@ def _reduce(
             skipna=skipna,
             numeric_only=numeric_only,
             filter_type=filter_type,
-            **kwds
+            **kwds,
         )
 
     def _reindex_indexer(self, new_index, indexer, copy):
@@ -4257,7 +4257,7 @@ def fillna(
         inplace=False,
         limit=None,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
         return super().fillna(
             value=value,
@@ -4266,7 +4266,7 @@ def fillna(
             inplace=inplace,
             limit=limit,
             downcast=downcast,
-            **kwargs
+            **kwargs,
         )
 
     @Appender(generic._shared_docs["replace"] % _shared_doc_kwargs)