How to deal with this woe graph?

Question

The problem is possibly because there were null values which were replaced by fillna() method. But then even after running the method with integer 0/0.0 as parameter to the method, the problem persists.

Answer 1

I've tried doing this, and I'm successful in combining the two. But is it allowed in case of continuous or discrete coarse mapping?

X_train_pre['empexp:0'] = sum([np.where((X_train_pre['emp_length_int'] == 0.0), 1, 0),
np.where((X_train_pre['emp_length_int'] == '0'), 1, 0)])

How to deal with this woe graph?

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