81 lines
3 KiB
Python
81 lines
3 KiB
Python
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# pylint: disable=W0614,W0401,W0611
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# flake8: noqa
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import numpy as np
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from pandas.core.algorithms import factorize, unique, value_counts
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from pandas.core.dtypes.missing import isna, isnull, notna, notnull
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from pandas.core.arrays import Categorical
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from pandas.core.groupby.groupby import Grouper
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from pandas.io.formats.format import set_eng_float_format
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from pandas.core.index import (Index, CategoricalIndex, Int64Index,
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UInt64Index, RangeIndex, Float64Index,
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MultiIndex, IntervalIndex,
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TimedeltaIndex, DatetimeIndex,
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PeriodIndex, NaT)
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from pandas.core.indexes.period import Period, period_range, pnow
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from pandas.core.indexes.timedeltas import Timedelta, timedelta_range
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from pandas.core.indexes.datetimes import Timestamp, date_range, bdate_range
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from pandas.core.indexes.interval import Interval, interval_range
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from pandas.core.series import Series
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from pandas.core.frame import DataFrame
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from pandas.core.panel import Panel, WidePanel
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# TODO: Remove import when statsmodels updates #18264
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from pandas.core.reshape.reshape import get_dummies
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from pandas.core.indexing import IndexSlice
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from pandas.core.tools.numeric import to_numeric
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from pandas.tseries.offsets import DateOffset
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from pandas.core.tools.datetimes import to_datetime
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from pandas.core.tools.timedeltas import to_timedelta
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# see gh-14094.
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from pandas.util._depr_module import _DeprecatedModule
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_removals = ['day', 'bday', 'businessDay', 'cday', 'customBusinessDay',
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'customBusinessMonthEnd', 'customBusinessMonthBegin',
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'monthEnd', 'yearEnd', 'yearBegin', 'bmonthEnd', 'bmonthBegin',
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'cbmonthEnd', 'cbmonthBegin', 'bquarterEnd', 'quarterEnd',
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'byearEnd', 'week']
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datetools = _DeprecatedModule(deprmod='pandas.core.datetools',
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removals=_removals)
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from pandas.core.config import (get_option, set_option, reset_option,
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describe_option, option_context, options)
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# deprecation, xref #13790
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def match(*args, **kwargs):
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import warnings
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warnings.warn("pd.match() is deprecated and will be removed "
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"in a future version",
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FutureWarning, stacklevel=2)
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from pandas.core.algorithms import match
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return match(*args, **kwargs)
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def groupby(*args, **kwargs):
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import warnings
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warnings.warn("pd.groupby() is deprecated and will be removed; "
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"Please use the Series.groupby() or "
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"DataFrame.groupby() methods",
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FutureWarning, stacklevel=2)
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return args[0].groupby(*args[1:], **kwargs)
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# Deprecation: xref gh-16747
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class TimeGrouper(object):
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def __new__(cls, *args, **kwargs):
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from pandas.core.resample import TimeGrouper
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import warnings
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warnings.warn("pd.TimeGrouper is deprecated and will be removed; "
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"Please use pd.Grouper(freq=...)",
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FutureWarning, stacklevel=2)
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return TimeGrouper(*args, **kwargs)
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