Thanks to visit codestin.com
Credit goes to github.com

Skip to content

TST Fixes test so that whole test isn't skipped if pandas not… #16627

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
Mar 4, 2020
Merged

TST Fixes test so that whole test isn't skipped if pandas not… #16627

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
0e8c3f8
Fixed test so that whole test isn't skipped if pandas not installed
lrjball Mar 3, 2020
29431cb
Fixed test so that whole test isn't skipped if pandas not installed
lrjball Mar 3, 2020
749b504
Merge branch 'col_transformer_pandas_test_fix' of https://github.com/…
lrjball Mar 3, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 7 additions & 1 deletion sklearn/compose/tests/test_column_transformer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1040,7 +1040,7 @@ def test_column_transformer_no_estimators_set_params():


def test_column_transformer_callable_specifier():
# assert that function gets the full array / dataframe
# assert that function gets the full array
X_array = np.array([[0, 1, 2], [2, 4, 6]]).T
X_res_first = np.array([[0, 1, 2]]).T

Expand All @@ -1055,7 +1055,13 @@ def func(X):
assert callable(ct.transformers[0][2])
assert ct.transformers_[0][2] == [0]


def test_column_transformer_callable_specifier_dataframe():
# assert that function gets the full dataframe
pd = pytest.importorskip('pandas')
X_array = np.array([[0, 1, 2], [2, 4, 6]]).T
X_res_first = np.array([[0, 1, 2]]).T

X_df = pd.DataFrame(X_array, columns=['first', 'second'])

def func(X):
Expand Down