Skip to content

Slicing columns with mixed types <str>,<int> fails with ValueError #20975 #38717

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 8 commits into from
Dec 27, 2020
Merged

Slicing columns with mixed types <str>,<int> fails with ValueError #20975 #38717

Changes from all commits
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
7a7e6ca
add quick test, found issue, asked on github
Dec 27, 2020
71ad8ba
fix dtype
Dec 27, 2020
19787b3
fix format
Dec 27, 2020
22b731f
fix indent
Dec 27, 2020
f08ebfa
fix namespace
Dec 27, 2020
7e556b4
make namespace consistent
Dec 27, 2020
c329c5c
passed black
Dec 27, 2020
253e377
more specific function
Dec 27, 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: 8 additions & 0 deletions pandas/tests/indexing/test_loc.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1644,6 +1644,14 @@ def test_loc_getitem_slice_labels_int_in_object_index(self, frame_or_series, val
expected = frame_or_series(range(4), index=[value, "first", 2, "third"])
tm.assert_equal(result, expected)

def test_loc_getitem_slice_columns_mixed_dtype(self):
# GH: 20975
df = DataFrame({"test": 1, 1: 2, 2: 3}, index=[0])
expected = DataFrame(
data=[[2, 3]], index=[0], columns=pd.Index([1, 2], dtype=object)
)
tm.assert_frame_equal(df.loc[:, 1:], expected)


class TestLocBooleanMask:
def test_loc_setitem_bool_mask_timedeltaindex(self):
Expand Down