AttributeError: 'ColumnTransformer' object has no attribute '_check_n_features'

I am a beginner and started learning data science some days ago. My feature data set has some categorical features and I was trying to preprocess in order to convert them into numbers. I was trying to use the ColumnTransformer from the sklearn compose module but had an error when I used the fit_transform( ) parameter>

# Turn our categories into numbers 

from sklearn.preprocessing import OneHotEncoder
from sklearn.compose import ColumnTransformer               

categorical_features = ["Make", "Colour", "Doors"]

one_hot = OneHotEncoder()

transformer = ColumnTransformer([("one_hot", 
                                  one_hot, 
                                  categorical_features)],
                                  remainder = "passthrough")
transformed_X= transformer.fit_transform(X)

These are the details of the error:

AttributeError                            Traceback (most recent call last)
<ipython-input-179-9955bb392ac9> in <module>
     12                                   categorical_features)],
     13                                   remainder = "passthrough")
---> 14 transformed_X= transformer.fit_transform(X)

~\Desktop\sample_project1\env\lib\site-packages\sklearn\compose\_column_transformer.py in fit_transform(self, X, y)
    524         X = _check_X(X)
    525         # set n_features_in_ attribute
--> 526         self._check_n_features(X, reset=True)
    527         self._validate_transformers()
    528         self._validate_column_callables(X)

AttributeError: 'ColumnTransformer' object has no attribute '_check_n_features'*

[glemaitre]

So the original traceback shows some code from scikit-learn 0.23.1 while your import shows scikit-learn 0.22.1 which explains that there is something fishy.

Could you update/resinstall scikit-learn 0.23

[glemaitre]

Happy that it works closing