DOC: description for Series.empty is referencing DataFrames instead of Series

[buckyster]

Location of the documentation

https://pandas.pydata.org/docs/dev/reference/series.html
https://pandas.pydata.org/docs/dev/reference/api/pandas.Series.empty.html

Documentation problem

The description about Series.empty are referencing DataFrames instead of Series:

https://pandas.pydata.org/docs/dev/reference/series.html

Series.empty | Indicator whether DataFrame is empty.

https://pandas.pydata.org/docs/dev/reference/api/pandas.Series.empty.html

True if DataFrame is entirely empty (no items), meaning any of the axes are of length 0.

(And many more references to "DataFrame" instead of "Series" on that page.)

Suggested fix for documentation

Replace all mentions of "DataFrame" with "Series".

[kadatatlukishore]

Hey @buckyster can I work on this ?

[phofl]

Sure

[kadatatlukishore]

Thanks @phofl

[kadatatlukishore]

Hey @phofl ,

For DataFrame and series,
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.empty.html
https://pandas.pydata.org/docs/dev/reference/api/pandas.Series.empty.html

I think it uses same function
https://github.com/kadatatlukishore/pandas/blob/c1aea793e03f11b587fbda833b2f5ad06c4bbced/pandas/core/generic.py#L1935

Do you have any idea so that I can change it without effecting the other. Please guide me here, Thanks !

[kadatatlukishore]

I think I can write for both data frame and series there, any suggestions would be appreciated @phofl

[phofl]

You could specify the klass through a parametrization as done in https://github.com/kadatatlukishore/pandas/blob/c1aea793e03f11b587fbda833b2f5ad06c4bbced/pandas/core/generic.py#L6122

[kadatatlukishore]

    @property
    @doc(**_shared_doc_kwargs)
    def empty(self: FrameOrSeries) -> bool_t:
        """
        Indicator whether {klass} is empty.

        True if {klass} is entirely empty (no items), meaning any of the
        axes are of length 0.

        Returns
        -------
        bool
            If {klass} is empty, return True, if not return False.

        See Also
        --------
        Series.dropna : Return series without null values.
        DataFrame.dropna : Return DataFrame with labels on given axis omitted
            where (all or any) data are missing.

        Notes
        -----
        If {klass} contains only NaNs, it is still not considered empty. See
        the example below.

        Examples
        --------
        An example of an actual empty {klass}. Notice the index is empty:

        >>> df_empty = pd.{klass}({'A' : []})
        >>> df_empty
        Empty {klass}
        Columns: [A]
        Index: []
        >>> df_empty.empty
        True

        If we only have NaNs in our {klass}, it is not considered empty! We
        will need to drop the NaNs to make the {klass} empty:

        >>> df = pd.{klass}({'A' : [np.nan]})
        >>> df
            A
        0 NaN
        >>> df.empty
        False
        >>> df.dropna().empty
        True
        """
        return any(len(self._get_axis(a)) == 0 for a in self._AXIS_ORDERS)

Like this @phofl , sorry I am a newbie so never encounter like this before. Thanks for guiding me !

[phofl]

I don't think this works in code, only in the docs/comments
The best thing is if you generate the docs, then you can view and adjust them accordingly