[Python][Resolved] DataConversionWarning: Data with input dtype int32 was converted to float64 by MinMaxScaler. warnings.warn(msg, DataConversionWarning)

Source with warming

where np_matrix is a NumPy Matrix of 100 rows by 5 columns consisting of random integers from 1-100.

from sklearn.preprocessing import MinMaxScaler
scaler_model = MinMaxScaler()
scaler_model.fit(np_matrix)
scaler_model.transform(np_matrix)

Updated code

from sklearn.preprocessing import MinMaxScaler
scaler_model = MinMaxScaler()
scaler_model.fit(np_matrix.astype(float))
scaler_model.transform(np_matrix)

Reference

https://stackoverflow.com/questions/39214164/data-conversion-error-while-applying-a-function-to-each-row-in-pandas-python