Skip to content

DOC: Fix code style in any and all methods #51195

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 1 commit into from
Closed

DOC: Fix code style in any and all methods #51195

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
10 changes: 5 additions & 5 deletions pandas/core/generic.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11950,7 +11950,7 @@ def _doc_params(cls):
True
>>> pd.Series([True, False]).all()
False
>>> pd.Series([], dtype="float64").all()
>>> pd.Series([], dtype='float64').all()
True
>>> pd.Series([np.nan]).all()
True
Expand Down Expand Up @@ -12319,7 +12319,7 @@ def _doc_params(cls):
False
>>> pd.Series([True, False]).any()
True
>>> pd.Series([], dtype="float64").any()
>>> pd.Series([], dtype='float64').any()
False
>>> pd.Series([np.nan]).any()
False
Expand All @@ -12330,7 +12330,7 @@ def _doc_params(cls):

Whether each column contains at least one True element (the default).

>>> df = pd.DataFrame({"A": [1, 2], "B": [0, 2], "C": [0, 0]})
>>> df = pd.DataFrame({'A': [1, 2], 'B': [0, 2], 'C': [0, 0]})
>>> df
A B C
0 1 0 0
Expand All @@ -12344,7 +12344,7 @@ def _doc_params(cls):

Aggregating over the columns.

>>> df = pd.DataFrame({"A": [True, False], "B": [1, 2]})
>>> df = pd.DataFrame({'A': [True, False], 'B': [1, 2]})
>>> df
A B
0 True 1
Expand All @@ -12355,7 +12355,7 @@ def _doc_params(cls):
1 True
dtype: bool

>>> df = pd.DataFrame({"A": [True, False], "B": [1, 0]})
>>> df = pd.DataFrame({'A': [True, False], 'B': [1, 0]})
>>> df
A B
0 True 1
Expand Down