This class is useful for specifying the type of a Categorical
independent of the values. See categorical.categoricaldtype
for more.
Must be unique, and must not contain any nulls. The categories are stored in an Index, and if an index is provided the dtype of that index will be used.
Whether or not this categorical is treated as a ordered categorical. None can be used to maintain the ordered value of existing categoricals when used in operations that combine categoricals, e.g. astype, and will resolve to False if there is no existing ordered to maintain.
Type for categorical data with the categories and orderedness.
Categorical
Represent a categorical variable in classic R / S-plus fashion.
>>> t = pd.CategoricalDtype(categories=['b', 'a'], ordered=True)
... pd.Series(['a', 'b', 'a', 'c'], dtype=t) 0 a 1 b 2 a 3 NaN dtype: category Categories (2, object): ['b' < 'a']
An empty CategoricalDtype with a specific dtype can be created by providing an empty index. As follows,
This example is valid syntax, but we were not able to check execution>>> pd.CategoricalDtype(pd.DatetimeIndex([])).categories.dtype dtype('<M8[ns]')See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.arrays.categorical.Categorical
pandas.core.arrays.categorical.Categorical._set_dtype
pandas.core.generic.NDFrame.astype
pandas.core.indexes.category.CategoricalIndex
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