machine learning - random forest with characters in scikit-learn/python -


i have character column , numbers want categorize character column , apply random forest classifier. realize there onehotencoder there no example anywhere. how can categorize characters e.g. gender column has 'f' , 'm' integers (0,1)?

use labelencoder takes array of strings , transforms array of integers.

example:

from sklearn.preprocessing import labelencoder import pandas pd  data = pd.dataframe()  data['age'] = [17,33,47] data['gender'] = ['m','f','m']  enc = labelencoder()  print(data) enc.fit(data['gender']) data['gender'] = enc.transform(data['gender']) print(data)

output:

   age gender 0    17      m 1    33      f 2    47      m    age  gender 0    17       1 1    33       0 2    47       1

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