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df create dummy from multiple category

from sklearn.preprocessing import MultiLabelBinarizer

mlb = MultiLabelBinarizer()
# get dummy array
dummy = mlb.fit_transform(df['cat'].str.split('|'))
# get category list 
mlb.classes_
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