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DOC: fix doc for crosstab with Categorical data input #33783

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Apr 27, 2020
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DOC: fix doc for crosstab with Categorical data input #33783

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703d547
fix doc for crosstab with Categorical data input
GYHHAHA Apr 25, 2020
4d8611e
fix doc for crosstab with Categorical data input
GYHHAHA Apr 26, 2020
c905e18
put dropna=False in a separate ipython block
GYHHAHA Apr 27, 2020
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14 changes: 11 additions & 3 deletions doc/source/user_guide/reshaping.rst
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Expand Up @@ -471,16 +471,24 @@ If ``crosstab`` receives only two Series, it will provide a frequency table.

pd.crosstab(df['A'], df['B'])

Any input passed containing ``Categorical`` data will have **all** of its
categories included in the cross-tabulation, even if the actual data does
not contain any instances of a particular category.
``crosstab`` can also be implemented
to ``Categorical`` data.

.. ipython:: python

foo = pd.Categorical(['a', 'b'], categories=['a', 'b', 'c'])
bar = pd.Categorical(['d', 'e'], categories=['d', 'e', 'f'])
pd.crosstab(foo, bar)

If you want to include **all** of data categories even if the actual data does
not contain any instances of a particular category, you should set ``dropna=False``.

For example:

.. ipython:: python

pd.crosstab(foo, bar, dropna=False)
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can u put this one in a separate ipython block and put the comment before that one


Normalization
~~~~~~~~~~~~~

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