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CLN - Better way to import from collections.abc
DOC - Typo fix
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+6
-5
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2 files changed

+6
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pandas/core/base.py

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@@ -2,7 +2,8 @@
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Base and utility classes for pandas objects.
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"""
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import builtins
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from collections import OrderedDict, abc
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from collections import OrderedDict
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from collections.abc import Mapping
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import textwrap
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from typing import Dict, FrozenSet, List, Optional
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import warnings
@@ -1122,7 +1123,7 @@ def _map_values(self, mapper, na_action=None):
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# we can fastpath dict/Series to an efficient map
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# as we know that we are not going to have to yield
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# python types
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if isinstance(mapper, abc.Mapping):
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if isinstance(mapper, Mapping):
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if isinstance(mapper, dict) and hasattr(mapper, "__missing__"):
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# If a dictionary subclass defines a default value method,
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# convert mapper to a lookup function (GH #15999).

pandas/core/series.py

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@@ -1,7 +1,7 @@
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"""
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Data structure for 1-dimensional cross-sectional and time series data
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"""
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from collections import abc
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from collections.abc import Mapping
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from io import StringIO
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from shutil import get_terminal_size
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from textwrap import dedent
@@ -246,7 +246,7 @@ def __init__(
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else:
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data = data.reindex(index, copy=copy)
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data = data._data
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elif isinstance(data, abc.Mapping):
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elif isinstance(data, Mapping):
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data, index = self._init_dict(data, index, dtype)
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dtype = None
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copy = False
@@ -3421,7 +3421,7 @@ def map(self, arg, na_action=None):
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Parameters
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----------
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arg : function, colletions.abc.Mapping subclass or Series
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arg : function, collections.abc.Mapping subclass or Series
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Mapping correspondence.
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na_action : {None, 'ignore'}, default None
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If 'ignore', propagate NaN values, without passing them to the

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