STYLE: fix line length check of flake8 (#27307)

Author: jorisvandenbossche

pandas/core/groupby/grouper.py

@@ -284,7 +284,7 @@ def __init__(
  if self.name is None:
  self.name = index.names[level]
 
- self.grouper, self._labels, self._group_index = index._get_grouper_for_level(
+ self.grouper, self._labels, self._group_index = index._get_grouper_for_level( # noqa: E501
  self.grouper, level
  )
 

pandas/core/indexing.py

@@ -1230,8 +1230,8 @@ def _validate_read_indexer(self, key, indexer, axis, raise_missing=False):
  KeyError in the future, you can use .reindex() as an alternative.
 
  See the documentation here:
- https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike"""
- ) # noqa
+ https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike""" # noqa: E501
+ )
 
  if not (ax.is_categorical() or ax.is_interval()):
  warnings.warn(_missing_key_warning, FutureWarning, stacklevel=6)
@@ -1379,8 +1379,8 @@ class _IXIndexer(_NDFrameIndexer):
  .iloc for positional indexing
 
  See the documentation here:
- http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated"""
- ) # noqa
+ http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated""" # noqa: E501
+ )
 
  def __init__(self, name, obj):
  warnings.warn(self._ix_deprecation_warning, FutureWarning, stacklevel=2)

pandas/io/parsers.py

@@ -1913,7 +1913,7 @@ def __init__(self, src, **kwds):
  else:
  if len(self._reader.header) > 1:
  # we have a multi index in the columns
- self.names, self.index_names, self.col_names, passed_names = self._extract_multi_indexer_columns(
+ self.names, self.index_names, self.col_names, passed_names = self._extract_multi_indexer_columns( # noqa: E501
  self._reader.header, self.index_names, self.col_names, passed_names
  )
  else:
@@ -2308,7 +2308,7 @@ def __init__(self, f, **kwds):
  # The original set is stored in self.original_columns.
  if len(self.columns) > 1:
  # we are processing a multi index column
- self.columns, self.index_names, self.col_names, _ = self._extract_multi_indexer_columns(
+ self.columns, self.index_names, self.col_names, _ = self._extract_multi_indexer_columns( # noqa: E501
  self.columns, self.index_names, self.col_names
  )
  # Update list of original names to include all indices.

pandas/tests/io/json/test_normalize.py

@@ -684,7 +684,7 @@ def test_with_large_max_level(self):
  "CreatedBy.user.family_tree.father.name": "Father001",
  "CreatedBy.user.family_tree.father.father.Name": "Father002",
  "CreatedBy.user.family_tree.father.father.father.name": "Father003",
- "CreatedBy.user.family_tree.father.father.father.father.Name": "Father004",
+ "CreatedBy.user.family_tree.father.father.father.father.Name": "Father004", # noqa: E501
  }
  ]
  output = nested_to_record(input_data, max_level=max_level)

pandas/tests/util/test_hashing.py

@@ -338,9 +338,9 @@ def test_hash_collisions():
  #
  # https://github.com/pandas-dev/pandas/issues/14711#issuecomment-264885726
  hashes = [
- "Ingrid-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", # noqa
- "Tim-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",
- ] # noqa
+ "Ingrid-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", # noqa: E501
+ "Tim-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", # noqa: E501
+ ]
 
  # These should be different.
  result1 = hash_array(np.asarray(hashes[0:1], dtype=object), "utf8")

setup.cfg

@@ -14,7 +14,6 @@ parentdir_prefix = pandas-
 [flake8]
 max-line-length = 88
 ignore =
- E501, # longer line length
  E203, # space before : (needed for how black formats slicing)
  W503, # line break before binary operator
  W504, # line break after binary operator