pandas.Series.str.get_dummies — pandas 3.0.0rc0+33.g1fd184de2a documentation (original) (raw)

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