laywerrobot/lib/python3.6/site-packages/pandas/core/api.py
2020-08-27 21:55:39 +02:00

80 lines
3 KiB
Python

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