Skip to content

TST: Add list of tuples pd.factorize test #18649

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 1 commit into from
Dec 9, 2017
Merged

TST: Add list of tuples pd.factorize test #18649

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
28 changes: 28 additions & 0 deletions pandas/tests/test_algos.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
from pandas._libs.hashtable import unique_label_indices
from pandas.compat import lrange, range
import pandas.core.algorithms as algos
from pandas.core.common import _asarray_tuplesafe
import pandas.util.testing as tm
from pandas.compat.numpy import np_array_datetime64_compat
from pandas.util.testing import assert_almost_equal
Expand Down Expand Up @@ -190,6 +191,33 @@ def test_factorize_nan(self):
assert len(set(key)) == len(set(expected))
tm.assert_numpy_array_equal(pd.isna(key), expected == na_sentinel)

@pytest.mark.parametrize("data,expected_label,expected_level", [
(
[(1, 1), (1, 2), (0, 0), (1, 2), 'nonsense'],
[0, 1, 2, 1, 3],
[(1, 1), (1, 2), (0, 0), 'nonsense']
),
(
[(1, 1), (1, 2), (0, 0), (1, 2), (1, 2, 3)],
[0, 1, 2, 1, 3],
[(1, 1), (1, 2), (0, 0), (1, 2, 3)]
),
(
[(1, 1), (1, 2), (0, 0), (1, 2)],
[0, 1, 2, 1],
[(1, 1), (1, 2), (0, 0)]
)
])
def test_factorize_tuple_list(self, data, expected_label, expected_level):
# GH9454
result = pd.factorize(data)

tm.assert_numpy_array_equal(result[0],
np.array(expected_label, dtype=np.intp))

expected_level_array = _asarray_tuplesafe(expected_level, dtype=object)
tm.assert_numpy_array_equal(result[1], expected_level_array)

def test_complex_sorting(self):
# gh 12666 - check no segfault
# Test not valid numpy versions older than 1.11
Expand Down