Skip to content

[MINOR][PS][DOCS] Replace ellipsis with ASCII in pandas-on-Spark DataFrame docstrings #55562

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
zhengruifeng wants to merge 1 commit into from
Closed

[MINOR][PS][DOCS] Replace ellipsis with ASCII in pandas-on-Spark DataFrame docstrings #55562

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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: 4 additions & 4 deletions python/pyspark/pandas/frame.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7988,7 +7988,7 @@ def sort_index(
first puts NaNs at the beginning, last puts NaNs at the end. Not implemented for
MultiIndex.
ignore_index : bool, default False
If True, the resulting axis will be labeled 0, 1, …, n - 1.
If True, the resulting axis will be labeled 0, 1, ..., n - 1.

.. versionadded:: 3.4.0

Expand Down Expand Up @@ -9646,7 +9646,7 @@ def sample(
random_state : int, optional
Seed for the random number generator (if int).
ignore_index : bool, default False
If True, the resulting index will be labeled 0, 1, …, n - 1.
If True, the resulting index will be labeled 0, 1, ..., n - 1.

.. versionadded:: 3.4.0

Expand Down Expand Up @@ -10249,7 +10249,7 @@ def drop_duplicates(
inplace : boolean, default False
Whether to drop duplicates in place or to return a copy.
ignore_index : boolean, default False
If True, the resulting axis will be labeled 0, 1, …, n - 1.
If True, the resulting axis will be labeled 0, 1, ..., n - 1.

Returns
-------
Expand Down Expand Up @@ -13351,7 +13351,7 @@ def explode(self, column: Name, ignore_index: bool = False) -> "DataFrame":
column : str or tuple
Column to explode.
ignore_index : bool, default False
If True, the resulting index will be labeled 0, 1, …, n - 1.
If True, the resulting index will be labeled 0, 1, ..., n - 1.

Returns
-------
Expand Down