Skip to content

BUG: Cleaner exception when .iloc called with non-integer list #25759

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 11 commits into from
Mar 26, 2019
Merged

BUG: Cleaner exception when .iloc called with non-integer list #25759

Show file tree
Hide file tree
Changes from 3 commits
Commits
Show all changes
11 commits
Select commit Hold shift + click to select a range
f865b72
better error message for iloc called with non-integer keys
Mar 18, 2019
1861a1a
updated whatsnew
Mar 18, 2019
4cb4667
change from np.int -> np.numeric
Mar 18, 2019
0b00f3e
added tests for new exception
Mar 18, 2019
6d94f4a
revise parameterized tests
Mar 18, 2019
1f0302f
modified whatsnew
Mar 19, 2019
3659f04
clarify commenting around key checks
Mar 19, 2019
317f9bf
update tests to match new exception
Mar 19, 2019
867a71e
Merge branch 'master' of https://github.com/pandas-dev/pandas into lo…
Mar 19, 2019
f816fd9
change to is_numeric_dtype
Mar 19, 2019
a8caad0
alphabetize imports
Mar 19, 2019
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
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.25.0.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -204,7 +204,7 @@ Interval
Indexing
^^^^^^^^

-
- Added an exception message when calling :meth:`DataFrame.iloc` with a list of non-integer objects.
-
-

Expand Down
4 changes: 4 additions & 0 deletions pandas/core/indexing.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2079,6 +2079,10 @@ def _validate_key(self, key, axis):
arr = np.array(key)
len_axis = len(self.obj._get_axis(axis))

if not np.issubdtype(arr.dtype, np.number):
Copy link
Contributor

Choose a reason for hiding this comment

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

use is_integer_dtype

Copy link
Contributor Author

@kykosic kykosic Mar 19, 2019 •
edited
Loading

Choose a reason for hiding this comment

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

This will cause a new exception when an array of float values is passed to .iloc. Currently float values are allowed and the array is cast to integer dtype. This will cause some regression.

Copy link
Contributor

Choose a reason for hiding this comment

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

then you need to thread this in the appropriate place

Copy link
Contributor

Choose a reason for hiding this comment

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

alt you could check is_numeric_dtype

Copy link
Contributor Author

Choose a reason for hiding this comment

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

Alright I tried to reorganize it a bit, let me know if I misunderstood what you meant.

raise IndexError(".iloc requires integer indexers, found "
"type {dtype}".format(dtype=arr.dtype))

if len(arr) and (arr.max() >= len_axis or arr.min() < -len_axis):
raise IndexError("positional indexers are out-of-bounds")
else:
Expand Down