Type for categorical data with the categories and orderedness.
It is a dtype representation for categorical data, which allows users to define a fixed set of values and optionally impose an ordering. This is particularly useful for handling categorical variables efficiently, as it can significantly reduce memory usage compared to using object dtypes.
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.
Attributes
Methods
See also
Categorical
Represent a categorical variable in classic R / S-plus fashion.
Notes
This class is useful for specifying the type of a Categorical independent of the values. See CategoricalDtype for more.
Examples
>>> 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,
>>> pd.CategoricalDtype(pd.DatetimeIndex([])).categories.dtype
dtype('<M8[s]')
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