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pandas/core/base.py

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@@ -1052,11 +1052,11 @@ def value_counts(
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**categorial_dtypes**
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Rows with categorical type will be counted as one group\
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if they have same categories and order.\
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In the example below, even though ``a``, ``c``, and ``d``\
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all have the same data types of ``category``,\
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only ``c`` and ``d`` will be counted as one group\
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Rows with categorical type will be counted as one group
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if they have same categories and order.
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In the example below, even though ``a``, ``c``, and ``d``
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all have the same data types of ``category``,
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only ``c`` and ``d`` will be counted as one group
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since ``a`` doesn't have the same categories.
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>>> df = pd.DataFrame({"a": [1], "b": ["2"], "c": [3], "d": [3]})

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