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simonjayhawkinsjbrockmendel
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CLN: minor typos MutliIndex -> MultiIndex (#28223)
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doc/source/whatsnew/v0.20.0.rst

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@@ -495,7 +495,7 @@ Other enhancements
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- :func:`pandas.util.hash_pandas_object` has gained the ability to hash a ``MultiIndex`` (:issue:`15224`)
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- ``Series/DataFrame.squeeze()`` have gained the ``axis`` parameter. (:issue:`15339`)
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- ``DataFrame.to_excel()`` has a new ``freeze_panes`` parameter to turn on Freeze Panes when exporting to Excel (:issue:`15160`)
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- ``pd.read_html()`` will parse multiple header rows, creating a MutliIndex header. (:issue:`13434`).
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- ``pd.read_html()`` will parse multiple header rows, creating a MultiIndex header. (:issue:`13434`).
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- HTML table output skips ``colspan`` or ``rowspan`` attribute if equal to 1. (:issue:`15403`)
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- :class:`pandas.io.formats.style.Styler` template now has blocks for easier extension, see the :ref:`example notebook </user_guide/style.ipynb#Subclassing>` (:issue:`15649`)
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- :meth:`Styler.render() <pandas.io.formats.style.Styler.render>` now accepts ``**kwargs`` to allow user-defined variables in the template (:issue:`15649`)

pandas/tests/frame/test_reshape.py

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@@ -984,7 +984,7 @@ def test_stack_preserve_categorical_dtype(self, ordered, labels):
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df = DataFrame([[10, 11, 12]], columns=cidx)
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result = df.stack()
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# `MutliIndex.from_product` preserves categorical dtype -
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# `MultiIndex.from_product` preserves categorical dtype -
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# it's tested elsewhere.
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midx = pd.MultiIndex.from_product([df.index, cidx])
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expected = Series([10, 11, 12], index=midx)

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