Issue with OneHotEncoder for categorical features

Question

I want to encode 3 categorical features out of 10 features in my datasets. I use preprocessing from sklearn.preprocessing to do so as the following:

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Answer 1

A comment to @piman314's answer (not enough reputation to make a comment)

This problem only happens for sklearn version <= 0.19. Documentation of 0.19 for fit method only allows integer input:

fit(X, y = None)

X: Input array of type int.

Later version (documentation of 0.20) automatically deal with the input datatype and allows string input

fit(X, y = None)

X: The data to determine the categories of each feature.