one hot encoding python pandas
y = pd.get_dummies(df.Countries, prefix='Country')
print(y.head())
# from here you can merge it onto your main DFone hot encoding python pandas
y = pd.get_dummies(df.Countries, prefix='Country')
print(y.head())
# from here you can merge it onto your main DFone hot encoding numpy
labels = (np.arange(num_labels) == labels[:,None]).astype(np.float32)one hot encoding
from sklearn.preprocessing import OneHotEncoder
encoder = preprocessing.OneHotEncoder(handle_unknown='ignore')
y = np.array([1, 2, 1, 3])
y = y.reshape(-1,1)
encoder.fit(y)
y_oh = encoder.transform(y).toarray()
print(y_oh)
>>[[1. 0. 0.]
[0. 1. 0.]
[1. 0. 0.]
[0. 0. 1.]]Copyright © 2021 Codeinu
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