pandas.Series.str.get_dummies#

Series.str.get_dummies(sep='|', dtype=None)[source]#

Return DataFrame of dummy/indicator variables for Series.

Each string in Series is split by sep and returned as a DataFrame of dummy/indicator variables.

Parameters:

sepstr, default “|”: String to split on.
dtypedtype, default np.int64: Data type for new columns. Only a single dtype is allowed.

Returns:

DataFrame: Dummy variables corresponding to values of the Series.

See also

get_dummies: Convert categorical variable into dummy/indicator variables.

Examples

>>> pd.Series(["a|b", "a", "a|c"]).str.get_dummies()
   a  b  c
0  1  1  0
1  1  0  0
2  1  0  1

>>> pd.Series(["a|b", np.nan, "a|c"]).str.get_dummies()
   a  b  c
0  1  1  0
1  0  0  0
2  1  0  1

>>> pd.Series(["a|b", np.nan, "a|c"]).str.get_dummies(dtype=bool)
        a      b      c
0   True   True    False
1   False  False   False
2   True   False   True