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pandas.core.arrays.integer.py
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pandas.core.arrays.integer.py
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from typing import *
class Int16Dtype:
# usage.sklearn: 1
kind: object
# usage.sklearn: 1
name: object
def __eq__(self, _0: Union[Type[numpy.object_], numpy.dtype], /):
"""
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usage.pandas: 1
"""
...
class Int32Dtype:
def __eq__(self, _0: Union[Type[numpy.object_], numpy.dtype], /):
"""
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usage.pandas: 1
"""
...
class Int64Dtype:
@classmethod
def is_dtype(cls, /, dtype: pandas.core.series.Series):
"""
usage.dask: 1
"""
...
# usage.dask: 1
kind: object
# usage.geopandas: 1
name: object
@overload
def __eq__(self, _0: Union[numpy.dtype, Type[numpy.object_]], /):
"""
usage.pandas: 9
"""
...
@overload
def __eq__(self, _0: Type[object], /):
"""
usage.geopandas: 1
"""
...
def __eq__(self, _0: Union[type, numpy.dtype], /):
"""
usage.geopandas: 1
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usage.pandas: 1
"""
...
class Int8Dtype:
# usage.sklearn: 1
kind: object
# usage.sklearn: 1
name: object
def __eq__(self, _0: Union[Type[numpy.object_], numpy.dtype], /):
"""
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usage.pandas: 1
"""
...
class IntegerArray:
# usage.dask: 1
__module__: ClassVar[object]
def __add__(self, _0: numpy.ndarray, /):
"""
usage.pandas: 2
"""
...
def __eq__(self, _0: object, /):
"""
usage.pandas: 9
"""
...
def __radd__(self, _0: object, /):
"""
usage.pandas: 19
"""
...
def __rfloordiv__(self, _0: object, /):
"""
usage.pandas: 19
"""
...
def __rmod__(self, _0: object, /):
"""
usage.pandas: 19
"""
...
def __rmul__(self, _0: object, /):
"""
usage.pandas: 19
"""
...
def __rpow__(self, _0: object, /):
"""
usage.pandas: 20
"""
...
def __rsub__(self, _0: object, /):
"""
usage.pandas: 15
"""
...
def __rtruediv__(self, _0: object, /):
"""
usage.pandas: 19
"""
...
class UInt16Dtype:
# usage.sklearn: 1
kind: object
# usage.sklearn: 1
name: object
def __eq__(self, _0: Union[Type[numpy.object_], numpy.dtype], /):
"""
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usage.pandas: 1
"""
...
class UInt32Dtype:
def __eq__(self, _0: Union[Type[numpy.object_], numpy.dtype], /):
"""
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usage.pandas: 1
"""
...
class UInt64Dtype:
def __eq__(self, _0: Union[Type[numpy.object_], numpy.dtype], /):
"""
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usage.pandas: 1
"""
...
class UInt8Dtype:
# usage.sklearn: 1
kind: object
# usage.sklearn: 1
name: object
def __eq__(self, _0: Union[Type[numpy.object_], numpy.dtype], /):
"""
usage.pandas: 9
"""
...
def __ne__(self, _0: numpy.dtype, /):
"""
usage.pandas: 1
"""
...