style: fix import format at pandas/core/reshape (pandas-dev#23387)

Author: streeck

pandas/core/reshape/api.py

@@ -1,8 +1,8 @@
 # flake8: noqa
 
 from pandas.core.reshape.concat import concat
-from pandas.core.reshape.melt import melt, lreshape, wide_to_long
+from pandas.core.reshape.melt import lreshape, melt, wide_to_long
+from pandas.core.reshape.merge import merge, merge_asof, merge_ordered
+from pandas.core.reshape.pivot import crosstab, pivot, pivot_table
 from pandas.core.reshape.reshape import get_dummies
-from pandas.core.reshape.merge import merge, merge_ordered, merge_asof
-from pandas.core.reshape.pivot import pivot_table, pivot, crosstab
 from pandas.core.reshape.tile import cut, qcut

pandas/core/reshape/concat.py

@@ -3,17 +3,19 @@
 """
 
 import numpy as np
-from pandas import compat, DataFrame, Series, Index, MultiIndex
-from pandas.core.index import (_get_objs_combined_axis,
-                               ensure_index, _get_consensus_names,
-                               _all_indexes_same)
-from pandas.core.arrays.categorical import (_factorize_from_iterable,
-                                            _factorize_from_iterables)
-from pandas.core.internals import concatenate_block_managers
+
+import pandas.core.dtypes.concat as _concat
+
+from pandas import DataFrame, Index, MultiIndex, Series, compat
 from pandas.core import common as com
-import pandas.core.indexes.base as ibase
+from pandas.core.arrays.categorical import (
+    _factorize_from_iterable, _factorize_from_iterables)
 from pandas.core.generic import NDFrame
-import pandas.core.dtypes.concat as _concat
+from pandas.core.index import (
+    _all_indexes_same, _get_consensus_names, _get_objs_combined_axis,
+    ensure_index)
+import pandas.core.indexes.base as ibase
+from pandas.core.internals import concatenate_block_managers
 
 # ---------------------------------------------------------------------
 # Concatenate DataFrame objects

pandas/core/reshape/melt.py

@@ -1,21 +1,20 @@
 # pylint: disable=E1101,E1103
 # pylint: disable=W0703,W0622,W0613,W0201
+import re
+
 import numpy as np
 
-from pandas.core.dtypes.common import is_list_like
-from pandas import compat
-from pandas.core.arrays import Categorical
+from pandas.util._decorators import Appender
 
+from pandas.core.dtypes.common import is_extension_type, is_list_like
 from pandas.core.dtypes.generic import ABCMultiIndex
+from pandas.core.dtypes.missing import notna
 
+from pandas import compat
+from pandas.core.arrays import Categorical
 from pandas.core.frame import _shared_docs
-from pandas.util._decorators import Appender
-
-import re
-from pandas.core.dtypes.missing import notna
-from pandas.core.dtypes.common import is_extension_type
-from pandas.core.tools.numeric import to_numeric
 from pandas.core.reshape.concat import concat
+from pandas.core.tools.numeric import to_numeric
 
 
 @Appender(_shared_docs['melt'] %

pandas/core/reshape/merge.py

@@ -3,49 +3,34 @@
 """
 
 import copy
-import warnings
 import string
+import warnings
 
 import numpy as np
-from pandas.compat import range, lzip, zip, map, filter
-import pandas.compat as compat
 
-from pandas import (Categorical, DataFrame,
-                    Index, MultiIndex, Timedelta, Series)
-from pandas.core.arrays.categorical import _recode_for_categories
-from pandas.core.frame import _merge_doc
-from pandas.core.dtypes.common import (
-    is_datetime64tz_dtype,
-    is_datetime64_dtype,
-    needs_i8_conversion,
-    is_int64_dtype,
-    is_array_like,
-    is_categorical_dtype,
-    is_integer_dtype,
-    is_float_dtype,
-    is_number,
-    is_numeric_dtype,
-    is_integer,
-    is_int_or_datetime_dtype,
-    is_dtype_equal,
-    is_bool,
-    is_bool_dtype,
-    is_list_like,
-    is_datetimelike,
-    ensure_int64,
-    ensure_float64,
-    ensure_object)
-from pandas.core.dtypes.missing import na_value_for_dtype, isnull
-from pandas.core.internals import (items_overlap_with_suffix,
-                                   concatenate_block_managers)
+from pandas._libs import hashtable as libhashtable, join as libjoin, lib
+import pandas.compat as compat
+from pandas.compat import filter, lzip, map, range, zip
+from pandas.errors import MergeError
 from pandas.util._decorators import Appender, Substitution
 
-from pandas.core.sorting import is_int64_overflow_possible
+from pandas.core.dtypes.common import (
+    ensure_float64, ensure_int64, ensure_object, is_array_like, is_bool,
+    is_bool_dtype, is_categorical_dtype, is_datetime64_dtype,
+    is_datetime64tz_dtype, is_datetimelike, is_dtype_equal, is_float_dtype,
+    is_int64_dtype, is_int_or_datetime_dtype, is_integer, is_integer_dtype,
+    is_list_like, is_number, is_numeric_dtype, needs_i8_conversion)
+from pandas.core.dtypes.missing import isnull, na_value_for_dtype
+
+from pandas import Categorical, DataFrame, Index, MultiIndex, Series, Timedelta
 import pandas.core.algorithms as algos
-import pandas.core.sorting as sorting
+from pandas.core.arrays.categorical import _recode_for_categories
 import pandas.core.common as com
-from pandas._libs import hashtable as libhashtable, join as libjoin, lib
-from pandas.errors import MergeError
+from pandas.core.frame import _merge_doc
+from pandas.core.internals import (
+    concatenate_block_managers, items_overlap_with_suffix)
+import pandas.core.sorting as sorting
+from pandas.core.sorting import is_int64_overflow_possible
 
 
 @Substitution('\nleft : DataFrame')

pandas/core/reshape/pivot.py

@@ -1,28 +1,25 @@
 # pylint: disable=E1103
+import numpy as np
 
+from pandas.compat import lrange, range, zip
+from pandas.util._decorators import Appender, Substitution
 
-from pandas.core.dtypes.common import (
-    is_list_like, is_scalar, is_integer_dtype)
-from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries
 from pandas.core.dtypes.cast import maybe_downcast_to_dtype
+from pandas.core.dtypes.common import is_integer_dtype, is_list_like, is_scalar
+from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries
 
-from pandas.core.reshape.concat import concat
-from pandas.core.series import Series
-from pandas.core.groupby import Grouper
-from pandas.core.reshape.util import cartesian_product
-from pandas.core.index import Index, MultiIndex, _get_objs_combined_axis
-from pandas.compat import range, lrange, zip
 from pandas import compat
 import pandas.core.common as com
-from pandas.util._decorators import Appender, Substitution
-
 from pandas.core.frame import _shared_docs
-# Note: We need to make sure `frame` is imported before `pivot`, otherwise
-# _shared_docs['pivot_table'] will not yet exist.  TODO: Fix this dependency
-
-import numpy as np
+from pandas.core.groupby import Grouper
+from pandas.core.index import Index, MultiIndex, _get_objs_combined_axis
+from pandas.core.reshape.concat import concat
+from pandas.core.reshape.util import cartesian_product
+from pandas.core.series import Series
 
 
+# Note: We need to make sure `frame` is imported before `pivot`, otherwise
+# _shared_docs['pivot_table'] will not yet exist.  TODO: Fix this dependency
 @Substitution('\ndata : DataFrame')
 @Appender(_shared_docs['pivot_table'], indents=1)
 def pivot_table(data, values=None, index=None, columns=None, aggfunc='mean',

pandas/core/reshape/reshape.py

@@ -1,36 +1,31 @@
 # pylint: disable=E1101,E1103
 # pylint: disable=W0703,W0622,W0613,W0201
-from pandas.compat import range, text_type, zip, u, PY2
-from pandas import compat
 from functools import partial
 import itertools
 
 import numpy as np
 
-from pandas.core.dtypes.common import (
-    ensure_platform_int,
-    is_list_like, is_bool_dtype,
-    is_extension_array_dtype,
-    needs_i8_conversion, is_sparse, is_object_dtype)
-from pandas.core.dtypes.cast import maybe_promote
-from pandas.core.dtypes.missing import notna
-
-from pandas.core.series import Series
-from pandas.core.frame import DataFrame
-
-from pandas.core.sparse.api import SparseDataFrame, SparseSeries
-from pandas.core.arrays import SparseArray
+from pandas._libs import algos as _algos, reshape as _reshape
 from pandas._libs.sparse import IntIndex
+from pandas.compat import PY2, range, text_type, u, zip
 
-from pandas.core.arrays import Categorical
-from pandas.core.arrays.categorical import _factorize_from_iterable
-from pandas.core.sorting import (get_group_index, get_compressed_ids,
-                                 compress_group_index, decons_obs_group_ids)
+from pandas.core.dtypes.cast import maybe_promote
+from pandas.core.dtypes.common import (
+    ensure_platform_int, is_bool_dtype, is_extension_array_dtype, is_list_like,
+    is_object_dtype, is_sparse, needs_i8_conversion)
+from pandas.core.dtypes.missing import notna
 
+from pandas import compat
 import pandas.core.algorithms as algos
-from pandas._libs import algos as _algos, reshape as _reshape
-
+from pandas.core.arrays import Categorical, SparseArray
+from pandas.core.arrays.categorical import _factorize_from_iterable
+from pandas.core.frame import DataFrame
 from pandas.core.index import Index, MultiIndex
+from pandas.core.series import Series
+from pandas.core.sorting import (
+    compress_group_index, decons_obs_group_ids, get_compressed_ids,
+    get_group_index)
+from pandas.core.sparse.api import SparseDataFrame, SparseSeries
 
 
 class _Unstacker(object):

pandas/core/reshape/tile.py

@@ -3,25 +3,21 @@
 """
 from functools import partial
 
-from pandas.core.dtypes.missing import isna
+import numpy as np
+
+from pandas._libs.lib import infer_dtype
+
 from pandas.core.dtypes.common import (
-    is_integer,
-    is_scalar,
-    is_categorical_dtype,
-    is_datetime64_dtype,
-    is_timedelta64_dtype,
-    is_datetime64tz_dtype,
-    is_datetime_or_timedelta_dtype,
-    ensure_int64)
+    ensure_int64, is_categorical_dtype, is_datetime64_dtype,
+    is_datetime64tz_dtype, is_datetime_or_timedelta_dtype, is_integer,
+    is_scalar, is_timedelta64_dtype)
+from pandas.core.dtypes.missing import isna
 
+from pandas import (
+    Categorical, Index, Interval, IntervalIndex, Series, Timedelta, Timestamp,
+    to_datetime, to_timedelta)
 import pandas.core.algorithms as algos
 import pandas.core.nanops as nanops
-from pandas._libs.lib import infer_dtype
-from pandas import (to_timedelta, to_datetime,
-                    Categorical, Timestamp, Timedelta,
-                    Series, Index, Interval, IntervalIndex)
-
-import numpy as np
 
 
 def cut(x, bins, right=True, labels=None, retbins=False, precision=3,

pandas/core/reshape/util.py

@@ -1,8 +1,9 @@
 import numpy as np
 
+from pandas.compat import reduce
+
 from pandas.core.dtypes.common import is_list_like
 
-from pandas.compat import reduce
 from pandas.core import common as com
 
 

setup.cfg

@@ -152,14 +152,6 @@ skip=
     pandas/core/internals/concat.py,
     pandas/core/internals/managers.py,
     pandas/core/internals/blocks.py,
-    pandas/core/reshape/concat.py,
-    pandas/core/reshape/tile.py,
-    pandas/core/reshape/melt.py,
-    pandas/core/reshape/api.py,
-    pandas/core/reshape/util.py,
-    pandas/core/reshape/merge.py,
-    pandas/core/reshape/reshape.py,
-    pandas/core/reshape/pivot.py,
     pandas/core/sparse/api.py,
     pandas/core/sparse/series.py,
     pandas/core/sparse/frame.py,