Issue with Scikit learn converting categorical to numeric varaibles

Asked Apr 22 '17 at 06:46

Active Apr 22 '17 at 07:07

Viewed 155 times

I have the following code, where I'm converting categorical variables into numeric ones.

from sklearn.preprocessing import LabelEncoder
var_mod = ['Gender','Married','Dependents','Education','Self_Employed','Property_Area','Loan_Status']
le = LabelEncoder()
for i in var_mod:
    df[i] = le.fit_transform(df[i])
print(df.dtypes)

I'm getting an error as

'>'  is not supported between instances of 'str' and 'float'

Please advise, where did I go wrong?

edited Apr 22 '17 at 06:55

Fabian N.

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asked Apr 22 '17 at 06:46

iahmed

Sorry, my answer was incorrect - misread your question. – pgrenholm Apr 22 '17 at 07:12
is working the code. check indentation. – n1tk Apr 22 '17 at 07:36
It is getting complied so , indentation is not a issue – iahmed Apr 22 '17 at 07:38
You should post the full stack trace of error. This error doesnt seem to be related specifically to scikit-learn, but more of a python error – Vivek Kumar Apr 22 '17 at 15:01

Issue with Scikit learn converting categorical to numeric varaibles

0 Answers0