pandas.Series.str.get_dummies#

Series.str.get_dummies(sep='|')[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.

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