STYLE: Specify target-version for black

ci/code_checks.sh

@@ -56,7 +56,7 @@ if [[ -z "$CHECK" || "$CHECK" == "lint" ]]; then
     black --version
 
     MSG='Checking black formatting' ; echo $MSG
-	black . --check --exclude '(asv_bench/env|\.egg|\.git|\.hg|\.mypy_cache|\.nox|\.tox|\.venv|_build|buck-out|build|dist|setup.py)'
+	black . --check
     RET=$(($RET + $?)) ; echo $MSG "DONE"
 
     # `setup.cfg` contains the list of error codes that are being ignored in flake8

pandas/core/frame.py

@@ -2082,7 +2082,7 @@ def to_stata(
             data_label=data_label,
             write_index=write_index,
             variable_labels=variable_labels,
-            **kwargs
+            **kwargs,
         )
         writer.write_file()
 
@@ -2106,7 +2106,7 @@ def to_parquet(
         compression="snappy",
         index=None,
         partition_cols=None,
-        **kwargs
+        **kwargs,
     ):
         """
         Write a DataFrame to the binary parquet format.
@@ -2186,7 +2186,7 @@ def to_parquet(
             compression=compression,
             index=index,
             partition_cols=partition_cols,
-            **kwargs
+            **kwargs,
         )
 
     @Substitution(
@@ -4110,7 +4110,7 @@ def fillna(
         inplace=False,
         limit=None,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
         return super().fillna(
             value=value,
@@ -4119,7 +4119,7 @@ def fillna(
             inplace=inplace,
             limit=limit,
             downcast=downcast,
-            **kwargs
+            **kwargs,
         )
 
     @Appender(_shared_docs["replace"] % _shared_doc_kwargs)
@@ -6566,7 +6566,7 @@ 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

@@ -2055,7 +2055,7 @@ def __getstate__(self):
             _typ=self._typ,
             _metadata=self._metadata,
             attrs=self.attrs,
-            **meta
+            **meta,
         )
 
     def __setstate__(self, state):
@@ -7050,7 +7050,7 @@ def interpolate(
         limit_direction="forward",
         limit_area=None,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
         """
         Interpolate values according to different methods.
@@ -7124,7 +7124,7 @@ def interpolate(
             limit_area=limit_area,
             inplace=inplace,
             downcast=downcast,
-            **kwargs
+            **kwargs,
         )
 
         if inplace:
@@ -11572,7 +11572,7 @@ def stat_func(
         level=None,
         numeric_only=None,
         min_count=0,
-        **kwargs
+        **kwargs,
     ):
         if name == "sum":
             nv.validate_sum(tuple(), kwargs)

pandas/core/groupby/groupby.py

@@ -1214,7 +1214,7 @@ def median(self, **kwargs):
         return self._cython_agg_general(
             "median",
             alt=lambda x, axis: Series(x).median(axis=axis, **kwargs),
-            **kwargs
+            **kwargs,
         )
 
     @Substitution(name="groupby")
@@ -2181,7 +2181,7 @@ def _get_cythonized_result(
         result_is_index: bool = False,
         pre_processing=None,
         post_processing=None,
-        **kwargs
+        **kwargs,
     ):
         """
         Get result for Cythonized functions.

pandas/core/indexes/base.py

@@ -265,7 +265,7 @@ def __new__(
         name=None,
         fastpath=None,
         tupleize_cols=True,
-        **kwargs
+        **kwargs,
     ) -> "Index":
 
         from .range import RangeIndex

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/indexes/interval.py

@@ -935,7 +935,7 @@ def get_loc(
             None is specified as these are not yet implemented.
         """
                 )
-            }
+            },
         )
     )
     @Appender(_index_shared_docs["get_indexer"])

pandas/core/indexes/multi.py

@@ -956,7 +956,7 @@ def copy(
         codes=None,
         deep=False,
         _set_identity=False,
-        **kwargs
+        **kwargs,
     ):
         """
         Make a copy of this object. Names, dtype, levels and codes can be
@@ -1020,7 +1020,7 @@ def _shallow_copy_with_infer(self, values, **kwargs):
             return MultiIndex(
                 levels=[[] for _ in range(self.nlevels)],
                 codes=[[] for _ in range(self.nlevels)],
-                **kwargs
+                **kwargs,
             )
         return self._shallow_copy(values, **kwargs)
 

pandas/core/indexes/period.py

@@ -194,7 +194,7 @@ def __new__(
         dtype=None,
         copy=False,
         name=None,
-        **fields
+        **fields,
     ):
 
         valid_field_set = {

pandas/core/internals/blocks.py

@@ -1088,7 +1088,7 @@ def interpolate(
         fill_value=None,
         coerce=False,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
 
         inplace = validate_bool_kwarg(inplace, "inplace")
@@ -1138,7 +1138,7 @@ def check_int_bool(self, inplace):
             fill_value=fill_value,
             inplace=inplace,
             downcast=downcast,
-            **kwargs
+            **kwargs,
         )
 
     def _interpolate_with_fill(
@@ -1193,7 +1193,7 @@ def _interpolate(
         limit_area=None,
         inplace=False,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
         """ interpolate using scipy wrappers """
 
@@ -1231,7 +1231,7 @@ def func(x):
                 limit_area=limit_area,
                 fill_value=fill_value,
                 bounds_error=False,
-                **kwargs
+                **kwargs,
             )
 
         # interp each column independently
@@ -2016,7 +2016,7 @@ def to_native_types(
         float_format=None,
         decimal=".",
         quoting=None,
-        **kwargs
+        **kwargs,
     ):
         """ convert to our native types format, slicing if desired """
 

pandas/core/internals/managers.py

@@ -354,7 +354,7 @@ def apply(
         filter=None,
         do_integrity_check=False,
         consolidate=True,
-        **kwargs
+        **kwargs,
     ):
         """
         iterate over the blocks, collect and create a new block manager

pandas/core/missing.py

@@ -164,7 +164,7 @@ def interpolate_1d(
     fill_value=None,
     bounds_error=False,
     order=None,
-    **kwargs
+    **kwargs,
 ):
     """
     Logic for the 1-d interpolation.  The result should be 1-d, inputs
@@ -300,7 +300,7 @@ def interpolate_1d(
             fill_value=fill_value,
             bounds_error=bounds_error,
             order=order,
-            **kwargs
+            **kwargs,
         )
         result[preserve_nans] = np.nan
         return result

pandas/core/resample.py

@@ -793,7 +793,7 @@ def interpolate(
         limit_direction="forward",
         limit_area=None,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
         """
         Interpolate values according to different methods.
@@ -807,7 +807,7 @@ def interpolate(
             limit_direction=limit_direction,
             limit_area=limit_area,
             downcast=downcast,
-            **kwargs
+            **kwargs,
         )
 
     def asfreq(self, fill_value=None):
@@ -1369,7 +1369,7 @@ def __init__(
         kind=None,
         convention=None,
         base=0,
-        **kwargs
+        **kwargs,
     ):
         # Check for correctness of the keyword arguments which would
         # otherwise silently use the default if misspelled

pandas/core/reshape/pivot.py

@@ -570,7 +570,7 @@ def crosstab(
         margins=margins,
         margins_name=margins_name,
         dropna=dropna,
-        **kwargs
+        **kwargs,
     )
 
     # Post-process

pandas/core/series.py

@@ -3788,7 +3788,7 @@ 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):
@@ -4012,7 +4012,7 @@ def _reduce(
             skipna=skipna,
             numeric_only=numeric_only,
             filter_type=filter_type,
-            **kwds
+            **kwds,
         )
 
     def _reindex_indexer(self, new_index, indexer, copy):
@@ -4249,7 +4249,7 @@ def fillna(
         inplace=False,
         limit=None,
         downcast=None,
-        **kwargs
+        **kwargs,
     ):
         return super().fillna(
             value=value,
@@ -4258,7 +4258,7 @@ def fillna(
             inplace=inplace,
             limit=limit,
             downcast=downcast,
-            **kwargs
+            **kwargs,
         )
 
     @Appender(generic._shared_docs["replace"] % _shared_doc_kwargs)

pandas/core/strings.py

@@ -1875,7 +1875,7 @@ def _noarg_wrapper(
     docstring=None,
     forbidden_types=["bytes"],
     returns_string=True,
-    **kargs
+    **kargs,
 ):
     @forbid_nonstring_types(forbidden_types, name=name)
     def wrapper(self):
@@ -1898,7 +1898,7 @@ def _pat_wrapper(
     name=None,
     forbidden_types=["bytes"],
     returns_string=True,
-    **kwargs
+    **kwargs,
 ):
     @forbid_nonstring_types(forbidden_types, name=name)
     def wrapper1(self, pat):

pandas/core/window/rolling.py

@@ -72,7 +72,7 @@ def __init__(
         axis: Axis = 0,
         on: Optional[Union[str, Index]] = None,
         closed: Optional[str] = None,
-        **kwargs
+        **kwargs,
     ):
 
         self.__dict__.update(kwargs)
@@ -399,7 +399,7 @@ def _apply(
         window: Optional[Union[int, str]] = None,
         center: Optional[bool] = None,
         check_minp: Optional[Callable] = None,
-        **kwargs
+        **kwargs,
     ):
         """
         Rolling statistical measure using supplied function.

pandas/io/common.py

@@ -528,7 +528,7 @@ def __init__(
         file: FilePathOrBuffer,
         mode: str,
         archive_name: Optional[str] = None,
-        **kwargs
+        **kwargs,
     ):
         if mode in ["wb", "rb"]:
             mode = mode.replace("b", "")