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1 | 1 | from __future__ import annotations
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2 | 2 |
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3 | 3 | import collections
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4 |
| -from datetime import timedelta |
5 | 4 | import functools
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6 | 5 | import gc
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7 | 6 | from io import StringIO
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26 | 25 | Union,
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27 | 26 | cast,
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28 | 27 | )
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29 |
| -import warnings |
30 |
| -import weakref |
31 | 28 |
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32 | 29 | import numpy as np
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33 | 30 |
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| 31 | +import pandas as pd |
| 32 | +import pandas.core.algorithms as algos |
| 33 | +import pandas.core.common as com |
| 34 | +import pandas.core.indexing as indexing |
34 | 35 | from pandas._config import config
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35 |
| - |
36 | 36 | from pandas._libs import lib
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37 | 37 | from pandas._libs.tslibs import Tick, Timestamp, to_offset
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38 | 38 | from pandas._typing import (
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53 | 53 | from pandas.compat import set_function_name
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54 | 54 | from pandas.compat._optional import import_optional_dependency
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55 | 55 | from pandas.compat.numpy import function as nv
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56 |
| -from pandas.errors import AbstractMethodError, InvalidIndexError |
57 |
| -from pandas.util._decorators import ( |
58 |
| - doc, |
59 |
| - rewrite_axis_style_signature, Appender, |
60 |
| -) |
61 |
| -from pandas.util._validators import ( |
62 |
| - validate_bool_kwarg, |
63 |
| - validate_fillna_kwargs, |
64 |
| - validate_percentile, |
65 |
| -) |
66 |
| - |
| 56 | +from pandas.core import missing, nanops |
| 57 | +from pandas.core.base import PandasObject, SelectionMixin |
| 58 | +from pandas.core.construction import create_series_with_explicit_dtype |
67 | 59 | from pandas.core.dtypes.common import (
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68 | 60 | ensure_int64,
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69 | 61 | ensure_object,
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98 | 90 | from pandas.core.indexes.api import Index, MultiIndex, RangeIndex, ensure_index
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99 | 91 | from pandas.core.indexes.datetimes import DatetimeIndex
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100 | 92 | from pandas.core.indexes.period import Period, PeriodIndex
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101 |
| -import pandas.core.indexing as indexing |
102 | 93 | from pandas.core.internals import BlockManager
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103 | 94 | from pandas.core.missing import find_valid_index
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104 | 95 | from pandas.core.ops import align_method_FRAME
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@@ -10704,7 +10695,7 @@ def transform(self, func, *args, **kwargs):
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10704 | 10695 |
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10705 | 10696 | Examples
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10706 | 10697 | --------
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10707 |
| - >>> df = pd.DataFrame({{'A': range(3), 'B': range(1, 4)}}) |
| 10698 | + >>> df = pd.DataFrame(dict(A=range(3), B=range(1, 4))) |
10708 | 10699 | >>> df
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10709 | 10700 | A B
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10710 | 10701 | 0 0 1
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