DOC: Replace @doc with inline docstrings for class SeriesGroupBy in pandas/core/groupby/generic.py #63085
+844
−8
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…-SeriesGroupby Making branch be up to date
acrossler
force-pushed
the
groupby-generic-doc-SeriesGroupby
branch
from
6436149 to
58c3691
Compare
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This is a part of the fix for DOC: Replace
@Appender,@Substitution,@docwith inlined docstrings #62437Tests added and passed if fixing a bug or adding a new feature
All code checks passed.
Added type annotations to new arguments/methods/functions.
Added an entry in the latest
doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.Replace @doc decor with inline docstrings for SeriesGroupBy.describe, SeriesGroupBy.plot, SeriesGroupBy.nlargest, SeriesGroupBy.nsmallest, SeriesGroupBy.corr, SeriesGroupBy.cov, SeriesGroupBy.hist, and SeriesGroupBy.dtype