Any way to get mappings of a label encoder in Python pandas?

Question

I am converting strings to categorical values in my dataset using the following piece of code.

data['weekday'] = pd.Categorical.from_array(data.weekday).labels  

For eg,

index    weekday 0        Sunday 1        Sunday 2        Wednesday 3        Monday 4        Monday 5        Thursday 6        Tuesday 

After encoding the weekday, my dataset appears like this:

index    weekday     0       3     1       3     2       6     3       1     4       1     5       4     6       5 

Is there any way I can know that Sunday has been mapped to 3, Wednesday to 6 and so on?

Answer 1

You can create additional dictionary with mapping:

from sklearn import preprocessing le = preprocessing.LabelEncoder() le.fit(data['name']) le_name_mapping = dict(zip(le.classes_, le.transform(le.classes_))) print(le_name_mapping) {'Tom': 0, 'Nick': 1, 'Kate': 2}