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Copy pathpandas.core.arrays.timedeltas.py
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pandas.core.arrays.timedeltas.py
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from typing import *
class TimedeltaArray:
# usage.dask: 1
asi8: object
# usage.dask: 1
dtype: object
def __add__(
self,
_0: Union[
numpy.ndarray,
numpy.float64,
numpy.datetime64,
numpy.float32,
numpy.timedelta64,
],
/,
):
"""
usage.pandas: 38
"""
...
def __eq__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 9
"""
...
def __floordiv__(self, _0: Union[numpy.timedelta64, numpy.ndarray], /):
"""
usage.pandas: 107
"""
...
def __ge__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 10
"""
...
def __gt__(self, _0: Union[numpy.ndarray, numpy.timedelta64], /):
"""
usage.pandas: 6
"""
...
def __iadd__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 1
"""
...
def __isub__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 1
"""
...
def __le__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 9
"""
...
def __lt__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 4
"""
...
def __mod__(self, _0: numpy.timedelta64, /):
"""
usage.pandas: 1
"""
...
def __mul__(self, _0: Union[numpy.int64, numpy.ndarray, numpy.timedelta64], /):
"""
usage.pandas: 29
"""
...
def __ne__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 9
"""
...
def __pow__(self, _0: numpy.timedelta64, /):
"""
usage.pandas: 1
"""
...
def __radd__(self, _0: object, /):
"""
usage.pandas: 40
"""
...
def __rfloordiv__(self, _0: Union[numpy.timedelta64, numpy.ndarray], /):
"""
usage.pandas: 5
"""
...
def __rmod__(self, _0: numpy.timedelta64, /):
"""
usage.pandas: 1
"""
...
def __rmul__(self, _0: object, /):
"""
usage.pandas: 37
"""
...
def __rpow__(self, _0: numpy.timedelta64, /):
"""
usage.pandas: 1
"""
...
def __rsub__(self, _0: object, /):
"""
usage.pandas: 39
"""
...
def __rtruediv__(self, _0: object, /):
"""
usage.pandas: 41
"""
...
def __sub__(self, _0: object, /):
"""
usage.pandas: 49
"""
...
def __truediv__(self, _0: Union[numpy.ndarray, numpy.timedelta64], /):
"""
usage.pandas: 31
"""
...