pandas.CategoricalDtype#

class pandas.CategoricalDtype(categories=None, ordered=False)[source]#

Type for categorical data with the categories and orderedness.

Parameters:

categoriessequence, optional: 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.
orderedbool or None, default False: 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

`categories`	An `Index` containing the unique categories allowed.
`ordered`	Whether the categories have an ordered relationship.

Methods

None

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]')