modin/pandas/series.py
def fillna(
        self,
        value=None,
        method=None,
        axis=None,
        inplace=False,
        limit=None,
        downcast=None,
    ):  # noqa: PR01, RT01, D200
        """
        Fill NaNs inside of a Series object.
        """
        if isinstance(value, BasePandasDataset) and not isinstance(value, Series):
            raise TypeError(
                '"value" parameter must be a scalar, dict or Series, but '
                'you passed a "{0}"'.format(type(value).__name__)
            )
        return super(Series, self)._fillna(
            squeeze_self=True,
            squeeze_value=isinstance(value, Series),
            value=value,
            method=method,
            axis=axis,
            inplace=inplace,
            limit=limit,
            downcast=downcast,
        )

        Fill NaNs inside of a Series object.
        
Fill NaNs inside of a Series object.
Fill NaNs inside of a Series object .
def fillna(
        self,
        value=None,
        method=None,
        axis=None,
        inplace=False,
        limit=None,
        downcast=None,
    ):  
        if isinstance(value, BasePandasDataset) and not isinstance(value, Series):
            raise TypeError(
                '"value" parameter must be a scalar, dict or Series, but '
                'you passed a "{0}"'.format(type(value).__name__)
            )
        return super(Series, self)._fillna(
            squeeze_self=True,
            squeeze_value=isinstance(value, Series),
            value=value,
            method=method,
            axis=axis,
            inplace=inplace,
            limit=limit,
            downcast=downcast,
        )
def fillna ( self , value = None , method = None , axis = None , inplace = False , limit = None , downcast = None , ) : if isinstance ( value , BasePandasDataset ) and not isinstance ( value , Series ) : raise TypeError ( '"value" parameter must be a scalar, dict or Series, but ' 'you passed a "{0}"' . format ( type ( value ) . __name__ ) ) return super ( Series , self ) . _fillna ( squeeze_self = True , squeeze_value = isinstance ( value , Series ) , value = value , method = method , axis = axis , inplace = inplace , limit = limit , downcast = downcast , )
Fill NaNs inside of a Series object.
Fill NaNs inside of a Series object .
# noqa: PR01, RT01, D200 """
        Fill NaNs inside of a Series object.
        """
self
value
method
axis
inplace
limit
downcast