>>> from sklearn.preprocessing import StandardScaler
>>> from sklearn.compose import ColumnTransformer
>>> ColumnTransformer([('foobar', StandardScaler(), [0, 1, 2])]).fit([[1, 2, 3]])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/joel/repos/scikit-learn/sklearn/compose/_column_transformer.py", line 398, in fit
    self.fit_transform(X, y=y)
  File "/Users/joel/repos/scikit-learn/sklearn/compose/_column_transformer.py", line 422, in fit_transform
    self._validate_remainder(X)
  File "/Users/joel/repos/scikit-learn/sklearn/compose/_column_transformer.py", line 275, in _validate_remainder
    n_columns = X.shape[1]
AttributeError: 'list' object has no attribute 'shape'