pandas.Categorical.__array__#

Categorical.__array__(dtype=None,copy=None)[source]#

The numpy array interface.

Users should not call this directly. Rather, it is invoked bynumpy.array() andnumpy.asarray().

Parameters:

dtypenp.dtype or None

Specifies the the dtype for the array.

copybool or None, optional

Seenumpy.asarray().

Returns:

numpy.array

A numpy array of either the specified dtype or,if dtype==None (default), the same dtype ascategorical.categories.dtype.

Examples

>>>cat=pd.Categorical(['a','b'],ordered=True)

The following callscat.__array__

>>>np.asarray(cat)array(['a', 'b'], dtype=object)