I was reading about One Hot Encoding in Python and there is a line that I cannot explain what it means. The code is the following: ohe=preprocessing.OneHotEncoder(dtype=np.int,sparse=True,handle_unknown="ignore") data=ohe.fit_transform(df[["country"]]) The thing is when I print the values of categories like this: print (ohe.categories_) It prints [array(['EEUU', 'France', 'Portugal', 'Italy'], dtype=object)] but when I do this: print (ohe.categories_[0]) ['EEUU', 'France', 'Portugal', 'Italy'] I was not able to find what [0] does, it seems that it converts from an array to a list, but why not use something like the tolist() function? I have searched on the web, but I was not able to find an explanation about this expression. Continue reading...
