Skip to content

BUG: DataFrame.drop raising TypeError when passing empty DatetimeIndex/list #28114

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

Closed
wants to merge 8 commits into from
Closed

BUG: DataFrame.drop raising TypeError when passing empty DatetimeIndex/list #28114

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
3bf7b26
DataFrame.drop raising TypeError when passing empty DatetimeIndex/list
Aug 23, 2019
53566f6
Merge branch 'master' of https://github.com/pandas-dev/pandas into fi…
Aug 23, 2019
36d19f7
DOC: Update whatsnew
Aug 23, 2019
f32ed62
Small changes for PR #28114
Aug 24, 2019
3d7045c
Merge branch 'master' of https://github.com/pandas-dev/pandas into fi…
Aug 26, 2019
02bb501
Raise KeyError when passing str to DataFrame.drop
Aug 31, 2019
7009e2f
Merge branch 'master' of https://github.com/pandas-dev/pandas into fi…
Sep 3, 2019
25bf949
Made trivial changes for PR28114
Sep 3, 2019
File filter

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Small changes for PR #28114 
* Make separate change * Fix whatsnew * Use is_list_like
  • Loading branch information
Katsuya Horiuchi committed Aug 24, 2019
commit f32ed62a76d2c05065b7ef731db1ce26e62ed251
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.25.2.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@ Sparse
Other
^^^^^

- Bug in :meth:`DataFrame.drop` when passing empty :meth:`DatetimeIndex` or :meth:`list`
- Bug in :meth:`DataFrame.drop` when passing empty :meth:`DatetimeIndex` or `list`
-

.. _whatsnew_0.252.contributors:
Expand Down
2 changes: 1 addition & 1 deletion pandas/core/generic.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3888,7 +3888,7 @@ def drop(

for axis, labels in axes.items():
if labels is not None:
if isinstance(labels, (list, Index)) and len(labels) == 0:
if is_list_like(labels) and not len(labels):
Copy link
Contributor

@jreback jreback Sep 2, 2019

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

rather than do this, you can just handle the empty case in _drop_axis
Copy link
Author

@katsuya-horiuchi katsuya-horiuchi Sep 3, 2019

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Are you sure @jreback? I tried a little, but I couldn't get it work while making sure to raise KeyError when passing str/List[str] to DataFrame.drop() that has DatetimeIndex.
Copy link
Contributor

@TomAugspurger TomAugspurger Sep 19, 2019

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I think the suggestion is to include the not len(labels) check in NDFrame._drop_axis. And when labels is empty we just return self from _drop_axis.
Copy link
Contributor

@jreback jreback Oct 16, 2019

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

can you try this
continue
obj = obj._drop_axis(labels, axis, level=level, errors=errors)

Expand Down
6 changes: 4 additions & 2 deletions pandas/tests/frame/test_axis_select_reindex.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -117,13 +117,15 @@ def test_drop(self):
df.drop(labels=df[df.b > 0].index, inplace=True)
assert_frame_equal(df, expected)

# Empty DatetimeIndex/list, GH 27994
def test_drop_empty_index(self):
# GH 27994
df_index = pd.DataFrame(
{"a": [0, 1]},
index=[pd.Timestamp("2019-01-01"), pd.Timestamp("2019-01-01")],
)
assert_frame_equal(df_index.drop([]), df_index)
assert_frame_equal(df_index.drop(df_index[df_index["a"] > 2].index), df_index)
assert_frame_equal(df_index.drop(np.array([])), df_index)
assert_frame_equal(df_index.drop(df_index[:0]), df_index)

def test_drop_multiindex_not_lexsorted(self):
# GH 11640
Expand Down