8000 Documentation how to drop duplicate indices by flying-sheep · Pull Request #9717 · pandas-dev/pandas · GitHub
[go: up one dir, main page]
Skip to content

Documentation how to drop duplicate indices #9717

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 2 commits into from
Closed

Documentation how to drop duplicate indices #9717

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
09cd583
Document how to drop duplicate indices
flying-sheep Mar 24, 2015
d79e3c5
typo
flying-sheep Mar 24, 2015
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
Prev Previous commit
typo
  • Loading branch information
@flying-sheep
flying-sheep committed Mar 24, 2015
commit d79e3c52e1f91eaf1ad2641c22338316be069aee
2 changes: 1 addition & 1 deletion doc/source/indexing.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1137,7 +1137,7 @@ should be taken instead.
df2.drop_duplicates(['a','b'])
df2.drop_duplicates(['a','b'], take_last=True)

An easier way to drup duplicates on the index than to temporarily forgo it is
An easier way to drop duplicates on the index than to temporarily forgo it is
``groupby(level=0)`` combined with ``first()`` or ``last()``.

.. ipython:: python
Expand Down
0