get_dummies(self, sep='|')
Each string in Series is split by sep and returned as a DataFrame of dummy/indicator variables.
String to split on.
Dummy variables corresponding to values of the Series.
Return DataFrame of dummy/indicator variables for Series.
get_dummies
Convert categorical variable into dummy/indicator variables.
>>> pd.Series(['a|b', 'a', 'a|c']).str.get_dummies() a b c 0 1 1 0 1 1 0 0 2 1 0 1This example is valid syntax, but we were not able to check execution
>>> 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 1See :
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pandas.core.strings.accessor.StringMethods.get_dummies
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