pandas.api.types.CategoricalDtype(categories = None, ordered = None) : This class is useful for specifying the type of Categorical data independent of the values, with categories and orderness.
Parameters-
categories : [index like] Unique categorization of the categories.
ordered : [boolean] If false, then the categorical is treated as unordered.
Return- Type specification for categorical data
Code:
Python3
# Python code explaining # numpy.pandas.CategoricalDtype() # importing librariesimport numpy as npimport pandas as pdfrom pandas.api.types import CategoricalDtype a = CategoricalDtype(['a', 'b', 'c'], ordered=True)print ("a : ", a) b = CategoricalDtype(['a', 'b', 'c'])print ("\nb : ", b) print ("\nTrue / False : ", a == CategoricalDtype(['a', 'b', 'c'], ordered=False)) c = pd.api.types.CategoricalDtype(categories=["a","b","d","c"], ordered=True)print ("\nType : ", c) |
Python3
c1 = pd.Series(['a', 'b', 'a', 'e'], dtype = c)print ("c1 : \n", c1) c2 = pd.DataFrame({'A': list('abca'), 'B': list('bccd')}) c3 = CategoricalDtype(categories=list('abcd'), ordered=True) c4 = c2.astype(c3) print ("\n c4['A'] : \n", c4['A']) |
