DOC: Remove makePanel from docs (#25609)

doc/source/getting_started/dsintro.rst

@@ -1030,47 +1030,3 @@ method:
                     major_axis=pd.date_range('1/1/2000', periods=5),
                     minor_axis=['a', 'b', 'c', 'd'])
    panel.to_frame()
-
-
-.. _dsintro.deprecate_panel:
-
-Deprecate Panel
----------------
-
-Over the last few years, pandas has increased in both breadth and depth, with new features,
-datatype support, and manipulation routines. As a result, supporting efficient indexing and functional
-routines for ``Series``, ``DataFrame`` and ``Panel`` has contributed to an increasingly fragmented and
-difficult-to-understand code base.
-
-The 3-D structure of a ``Panel`` is much less common for many types of data analysis,
-than the 1-D of the ``Series`` or the 2-D of the ``DataFrame``. Going forward it makes sense for
-pandas to focus on these areas exclusively.
-
-Oftentimes, one can simply use a MultiIndex ``DataFrame`` for easily working with higher dimensional data.
-
-In addition, the ``xarray`` package was built from the ground up, specifically in order to
-support the multi-dimensional analysis that is one of ``Panel`` s main use cases.
-`Here is a link to the xarray panel-transition documentation <https://xarray.pydata.org/en/stable/pandas.html#panel-transition>`__.
-
-.. ipython:: python
-   :okwarning:
-
-   import pandas.util.testing as tm
-   p = tm.makePanel()
-   p
-
-Convert to a MultiIndex DataFrame.
-
-.. ipython:: python
-   :okwarning:
-
-   p.to_frame()
-
-Alternatively, one can convert to an xarray ``DataArray``.
-
-.. ipython:: python
-   :okwarning:
-
-   p.to_xarray()
-
-You can see the full-documentation for the `xarray package <https://xarray.pydata.org/en/stable/>`__.

doc/source/whatsnew/v0.13.1.rst

@@ -222,60 +222,6 @@ Enhancements
 
 - Panel :meth:`~pandas.Panel.apply` will work on non-ufuncs. See :ref:`the docs<basics.apply>`.
 
-  .. ipython:: python
-
-     import pandas.util.testing as tm
-     panel = tm.makePanel(5)
-     panel
-     panel['ItemA']
-
-  Specifying an ``apply`` that operates on a Series (to return a single element)
-
-  .. ipython:: python
-
-     panel.apply(lambda x: x.dtype, axis='items')
-
-  A similar reduction type operation
-
-  .. ipython:: python
-
-     panel.apply(lambda x: x.sum(), axis='major_axis')
-
-  This is equivalent to
-
-  .. ipython:: python
-
-     panel.sum('major_axis')
-
-  A transformation operation that returns a Panel, but is computing
-  the z-score across the major_axis
-
-  .. ipython:: python
-
-     result = panel.apply(lambda x: (x - x.mean()) / x.std(),
-                          axis='major_axis')
-     result
-     result['ItemA']
-
-- Panel :meth:`~pandas.Panel.apply` operating on cross-sectional slabs. (:issue:`1148`)
-
-  .. ipython:: python
-
-     def f(x):
-         return ((x.T - x.mean(1)) / x.std(1)).T
-
-     result = panel.apply(f, axis=['items', 'major_axis'])
-     result
-     result.loc[:, :, 'ItemA']
-
-  This is equivalent to the following
-
-  .. ipython:: python
-
-     result = pd.Panel({ax: f(panel.loc[:, :, ax]) for ax in panel.minor_axis})
-
-     result
-     result.loc[:, :, 'ItemA']
 
 Performance
 ~~~~~~~~~~~

doc/source/whatsnew/v0.20.0.rst

@@ -45,11 +45,6 @@ Check the :ref:`API Changes <whatsnew_0200.api_breaking>` and :ref:`deprecations
 New features
 ~~~~~~~~~~~~
 
-.. ipython:: python
-   :suppress:
-
-   import pandas.util.testing as tm
-
 .. _whatsnew_0200.enhancements.agg:
 
 ``agg`` API for DataFrame/Series
@@ -1354,34 +1349,6 @@ Using ``.iloc``. Here we will get the location of the 'A' column, then use *posi
    df.iloc[[0, 2], df.columns.get_loc('A')]
 
 
-.. _whatsnew_0200.api_breaking.deprecate_panel:
-
-Deprecate Panel
-^^^^^^^^^^^^^^^
-
-``Panel`` is deprecated and will be removed in a future version. The recommended way to represent 3-D data are
-with a ``MultiIndex`` on a ``DataFrame`` via the :meth:`~Panel.to_frame` or with the `xarray package <http://xarray.pydata.org/en/stable/>`__. Pandas
-provides a :meth:`~Panel.to_xarray` method to automate this conversion. For more details see :ref:`Deprecate Panel <dsintro.deprecate_panel>` documentation. (:issue:`13563`).
-
-.. ipython:: python
-   :okwarning:
-
-   p = tm.makePanel()
-   p
-
-Convert to a MultiIndex DataFrame
-
-.. ipython:: python
-
-   p.to_frame()
-
-Convert to an xarray DataArray
-
-.. ipython:: python
-   :okwarning:
-
-   p.to_xarray()
-
 .. _whatsnew_0200.api_breaking.deprecate_group_agg_dict:
 
 Deprecate groupby.agg() with a dictionary when renaming

doc/source/whatsnew/v0.23.0.rst

@@ -637,39 +637,6 @@ If you wish to retain the old behavior while using Python >= 3.6, you can use
                'Taxes': -200,
                'Net result': 300}).sort_index()
 
-.. _whatsnew_0230.api_breaking.deprecate_panel:
-
-Deprecate Panel
-^^^^^^^^^^^^^^^
-
-``Panel`` was deprecated in the 0.20.x release, showing as a ``DeprecationWarning``. Using ``Panel`` will now show a ``FutureWarning``. The recommended way to represent 3-D data are
-with a ``MultiIndex`` on a ``DataFrame`` via the :meth:`~Panel.to_frame` or with the `xarray package <http://xarray.pydata.org/en/stable/>`__. Pandas
-provides a :meth:`~Panel.to_xarray` method to automate this conversion. For more details see :ref:`Deprecate Panel <dsintro.deprecate_panel>` documentation. (:issue:`13563`, :issue:`18324`).
-
-.. ipython:: python
-   :suppress:
-
-   import pandas.util.testing as tm
-
-.. ipython:: python
-   :okwarning:
-
-   p = tm.makePanel()
-   p
-
-Convert to a MultiIndex DataFrame
-
-.. ipython:: python
-
-   p.to_frame()
-
-Convert to an xarray DataArray
-
-.. ipython:: python
-   :okwarning:
-
-   p.to_xarray()
-
 
 .. _whatsnew_0230.api_breaking.core_common: