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add dropna=False to crosstab example #21413

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Jun 12, 2018
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add dropna=False to crosstab example #21413

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13 changes: 12 additions & 1 deletion pandas/core/reshape/pivot.py
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Original file line number Diff line number Diff line change
Expand Up @@ -446,7 +446,18 @@ def crosstab(index, columns, values=None, rownames=None, colnames=None,
>>> foo = pd.Categorical(['a', 'b'], categories=['a', 'b', 'c'])
>>> bar = pd.Categorical(['d', 'e'], categories=['d', 'e', 'f'])
>>> crosstab(foo, bar) # 'c' and 'f' are not represented in the data,
... # but they still will be counted in the output
# and will not be shown in the output because
# dropna is True by default. Set 'dropna=False'
# to preserve categories with no data
... # doctest: +SKIP
col_0 d e
row_0
a 1 0
b 0 1

>>> crosstab(foo, bar, dropna=False) # 'c' and 'f' are not represented
# in the data, but they still will be counted
# and shown in the output
... # doctest: +SKIP
col_0 d e f
row_0
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