One hot encoding "got an unexpected keyword argument 'categorical_features'"

Question

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error : oneHot = OneHotEncoder(categorical_features = [0]) TypeError: init() got an unexpected keyword argument 'categorical_features'.

I'm tring to encode first column here's my code sample:

from sklearn.preprocessing import LabelEncoder,OneHotEncoder 
labelen_x = LabelEncoder() # string to numeric encoding object
x[:,0]= labelen_x.fit_transform(x[:,0]) # replaces the string labels with numerics for ML algorithm to be able to work with it
oneHot = OneHotEncoder(categorical_features = [0])
x = oneHot.fit_transform(x).toarray()

Answer 1

You shouldn't pass any obejct while initialise OHE class, simply do:

from sklearn.preprocessing import OneHotEncoder 

# sample data
df = pd.DataFrame({'col': [0,1,2,3,0,1,2]})
colnames = ['col'] # modify this for your df

oneHot = OneHotEncoder()
x_ohe = oneHot.fit_transform(df[colnames].values.reshape(-1,1))

To check how the one-hot-encoded data looks (see matrix), simply do:

x_ohe.todense()