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1 change: 0 additions & 1 deletion ci/code_checks.sh
Original file line number Diff line number Diff line change
Expand Up @@ -423,7 +423,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.Categorical.ordered\
pandas.Categorical.remove_unused_categories\
pandas.Categorical.rename_categories\
pandas.CategoricalDtype\
pandas.CategoricalDtype.categories\
pandas.CategoricalDtype.ordered\
pandas.CategoricalIndex.as_ordered\
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11 changes: 11 additions & 0 deletions pandas/core/dtypes/dtypes.py
Original file line number Diff line number Diff line change
Expand Up @@ -157,6 +157,17 @@ class CategoricalDtype(PandasExtensionDtype, ExtensionDtype):
"""
Type for categorical data with the categories and orderedness.

A categorical's type is fully described by
1. categories: a sequence of unique values and no missing values
2. ordered: a boolean
This information can be stored in a CategoricalDtype. The categories argument
is optional, which implies that the actual categories should be inferred from
whatever is present in the data when the pandas.Categorical is created.
The categories are assumed to be unordered by default.

A CategoricalDtype can be used in any place pandas expects a dtype. For example
pandas.read_csv(), pandas.DataFrame.astype(), or in the Series constructor.

Parameters
----------
categories : sequence, optional
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