How to apply LabelEncoder for a specific column in Pandas dataframe

You can also do:

from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
df.col_name= le.fit_transform(df.col_name.values)

where col_name = the feature that you want to label encode

You can try as following:

le = preprocessing.LabelEncoder()
df['label'] = le.fit_transform(df.label.values)

Or following would work too:

df['label'] = le.fit_transform(df['label'])

It will replace original label values in dataframe with encoded labels.

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