pandas.core.arrays.numpy_.py

from typing import *


class PandasArray:
    def __eq__(self, _0: numpy.float64, /):
        """
        usage.pandas: 1
        """
        ...

    def __radd__(self, _0: numpy.float64, /):
        """
        usage.pandas: 1
        """
        ...

    def __rfloordiv__(self, _0: numpy.float64, /):
        """
        usage.pandas: 1
        """
        ...

    def __rmod__(self, _0: numpy.float64, /):
        """
        usage.pandas: 1
        """
        ...

    def __rmul__(self, _0: numpy.float64, /):
        """
        usage.pandas: 1
        """
        ...

    def __rpow__(self, _0: numpy.float64, /):
        """
        usage.pandas: 1
        """
        ...

    def __rsub__(self, _0: numpy.float64, /):
        """
        usage.pandas: 1
        """
        ...

    def __rtruediv__(self, _0: numpy.float64, /):
        """
        usage.pandas: 1
        """
        ...


class PandasDtype:
    def __eq__(self, _0: Union[numpy.dtype, Type[numpy.object_]], /):
        """
        usage.pandas: 5
        """
        ...

    def __ne__(self, _0: numpy.dtype, /):
        """
        usage.pandas: 1
        """
        ...