Revision history [back]
 | 1 | initial version |
Yes, it is possible to apply label encoding to a pandas dataframe while ensuring that the same label is assigned to the same value. This can be done using the LabelEncoder from the scikit-learn library.
First, initialize the LabelEncoder object and fit it to the column(s) of the dataframe using the fit method:
from sklearn.preprocessing import LabelEncoder
encoder = LabelEncoder()
encoder.fit(df['column_name'])
Next, use the transform method to encode the column(s):
df['encoded_column'] = encoder.transform(df['column_name'])
This will assign a unique numerical label to each unique value in the column, ensuring that the same label is assigned to the same value.