label encoding
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
companydata.ShelveLoc = le.fit_transform(companydata.ShelveLoc)label encoding
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
companydata.ShelveLoc = le.fit_transform(companydata.ShelveLoc)how to use label encoding in python
obj_df["body_style"] = obj_df["body_style"].astype('category')
obj_df.dtypes
obj_df["body_style_cat"] = obj_df["body_style"].cat.codes
obj_df.head()labelencoder update
# train and test are pandas.DataFrame's and c is whatever column
le = LabelEncoder()
le.fit(train[c])
test[c] = test[c].map(lambda s: '<unknown>' if s not in le.classes_ else s)
le.classes_ = np.append(le.classes_, '<unknown>')
train[c] = le.transform(train[c])
test[c] = le.transform(test[c])Copyright © 2021 Codeinu
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