modin/pandas/series.py
def _validate_dtypes(self, numeric_only=False):
        """
        Check that all the dtypes are the same.

        Parameters
        ----------
        numeric_only : bool, default: False
            Whether or not to allow only numeric data.
            If True and non-numeric data is found, exception
            will be raised.

        Notes
        -----
        Actually does nothing, added for compatibility with Modin DataFrame.
        """
        pass

        Check that all the dtypes are the same.

        Parameters
        ----------
        numeric_only : bool, default: False
            Whether or not to allow only numeric data.
            If True and non-numeric data is found, exception
            will be raised.

        Notes
        -----
        Actually does nothing, added for compatibility with Modin DataFrame.
        
Check that all the dtypes are the same.
Parameters

numeric_only : bool, default: False
Whether or not to allow only numeric data.
If True and non-numeric data is found, exception
will be raised.

Notes

Actually does nothing, added for compatibility with Modin DataFrame.
Check that all the dtypes are the same . Parameters numeric_only : bool default : False Whether or not to allow only numeric data . If True and non - numeric data is found exception will be raised . Notes Actually does nothing added for compatibility with Modin DataFrame .
def _validate_dtypes(self, numeric_only=False):
        pass
def _validate_dtypes ( self , numeric_only = False ) : pass
Check that all the dtypes are the same.
Check that all the dtypes are the same .
"""
        Check that all the dtypes are the same.

        Parameters
        ----------
        numeric_only : bool, default: False
            Whether or not to allow only numeric data.
            If True and non-numeric data is found, exception
            will be raised.

        Notes
        -----
        Actually does nothing, added for compatibility with Modin DataFrame.
        """
self
numeric_only