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OneHotEncoder()

Confused Chamois answered on November 10, 2021 Popularity 9/10 Helpfulness 5/10

answer OneHotEncoder()

related OneHotEncoder sklearn python

OneHotEncoder()

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enc = OneHotEncoder()
enc.fit(df[["Temperature"]])
onehotlabels = enc.transform(df[["Temperature"]]).toarray()

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Tags: python

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Contributed on Nov 10 2021

Confused Chamois

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OneHotEncoder sklearn python

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from sklearn.preprocessing import OneHotEncoder
>>> enc = OneHotEncoder(handle_unknown='ignore')
>>> X = [['Male', 1], ['Female', 3], ['Female', 2]]
>>> enc.fit(X)
OneHotEncoder(handle_unknown='ignore')
>>> enc.categories_
[array(['Female', 'Male'], dtype=object), array([1, 2, 3], dtype=object)]
>>> enc.transform([['Female', 1], ['Male', 4]]).toarray()
array([[1., 0., 1., 0., 0.],
       [0., 1., 0., 0., 0.]])
>>> enc.inverse_transform([[0, 1, 1, 0, 0], [0, 0, 0, 1, 0]])
array([['Male', 1],
       [None, 2]], dtype=object)
>>> enc.get_feature_names_out(['gender', 'group'])
array(['gender_Female', 'gender_Male', 'group_1', 'group_2', 'group_3'], ...)

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Source: scikit-learn.org

Tags: python py

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Contributed on May 03 2022

Jaime Rivas Dantart

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OneHotEncoder()

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