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ColumnTransformer breaks where X is a list

See original GitHub issue

>>> 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'

The passed list should be interpreted as an array for the sake of extracting columns. Instead an error is raised.

Issue Analytics

State:
Created 5 years ago
Comments:5 (4 by maintainers)

Top GitHub Comments

1reaction

jnothmancommented, Sep 19, 2018

Not supporting lists is very unconventional behaviour for scikit-learn…

0reactions

jorisvandenbosschecommented, Sep 24, 2018

@aditya1994 there is an open PR: https://github.com/scikit-learn/scikit-learn/pull/12104

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