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pandas._libs.tslibs.period.py
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pandas._libs.tslibs.period.py
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from typing import *
class Period:
# usage.statsmodels: 2
day: object
# usage.statsmodels: 2
month: object
# usage.statsmodels: 2
year: object
@overload
def __add__(self, _0: int, /):
"""
usage.statsmodels: 1
"""
...
@overload
def __add__(self, _0: pandas._libs.tslibs.offsets.MonthEnd, /):
"""
usage.statsmodels: 2
"""
...
@overload
def __add__(self, _0: numpy.timedelta64, /):
"""
usage.pandas: 9
"""
...
def __add__(
self, _0: Union[numpy.timedelta64, int, pandas._libs.tslibs.offsets.MonthEnd], /
):
"""
usage.pandas: 9
usage.statsmodels: 3
"""
...
@overload
def __eq__(self, _0: xarray.core.variable.Variable, /):
"""
usage.xarray: 1
"""
...
@overload
def __eq__(self, _0: numpy.ndarray, /):
"""
usage.xarray: 1
"""
...
@overload
def __eq__(self, _0: pandas._libs.tslibs.period.Period, /):
"""
usage.dask: 2
usage.statsmodels: 2
"""
...
def __eq__(
self,
_0: Union[
pandas._libs.tslibs.period.Period,
numpy.ndarray,
xarray.core.variable.Variable,
],
/,
):
"""
usage.dask: 2
usage.statsmodels: 2
usage.xarray: 2
"""
...
@overload
def __ge__(self, _0: pandas._libs.tslibs.period.Period, /):
"""
usage.dask: 3
usage.statsmodels: 2
"""
...
@overload
def __ge__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 1
"""
...
def __ge__(self, _0: Union[pandas._libs.tslibs.period.Period, numpy.ndarray], /):
"""
usage.dask: 3
usage.pandas: 1
usage.statsmodels: 2
"""
...
@overload
def __gt__(self, _0: pandas._libs.tslibs.period.Period, /):
"""
usage.dask: 1
usage.statsmodels: 2
"""
...
@overload
def __gt__(self, _0: pandas.core.indexes.period.PeriodIndex, /):
"""
usage.statsmodels: 1
"""
...
def __gt__(
self,
_0: Union[
pandas._libs.tslibs.period.Period, pandas.core.indexes.period.PeriodIndex
],
/,
):
"""
usage.dask: 1
usage.statsmodels: 3
"""
...
def __le__(self, _0: pandas._libs.tslibs.period.Period, /):
"""
usage.dask: 3
usage.statsmodels: 2
"""
...
@overload
def __lt__(self, _0: pandas._libs.tslibs.period.Period, /):
"""
usage.dask: 1
usage.statsmodels: 2
"""
...
@overload
def __lt__(self, _0: pandas.core.indexes.period.PeriodIndex, /):
"""
usage.statsmodels: 1
"""
...
def __lt__(
self,
_0: Union[
pandas._libs.tslibs.period.Period, pandas.core.indexes.period.PeriodIndex
],
/,
):
"""
usage.dask: 1
usage.statsmodels: 3
"""
...
def __radd__(self, _0: numpy.timedelta64, /):
"""
usage.pandas: 8
"""
...
def __rmod__(self, _0: Literal["%s"], /):
"""
usage.statsmodels: 2
"""
...
@overload
def __sub__(self, _0: int, /):
"""
usage.statsmodels: 1
"""
...
@overload
def __sub__(self, _0: numpy.timedelta64, /):
"""
usage.pandas: 9
"""
...
def __sub__(self, _0: Union[numpy.timedelta64, int], /):
"""
usage.pandas: 9
usage.statsmodels: 1
"""
...
def strftime(self, _0: Literal["%m-%d-%Y"], /):
"""
usage.statsmodels: 4
"""
...
def to_timestamp(self, /):
"""
usage.statsmodels: 1
"""
...