Skip to content

add warning about setting max_rows/max_columns to 'None' #60216

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 1 commit into from
Nov 6, 2024
Merged

add warning about setting max_rows/max_columns to 'None' #60216

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
11 changes: 9 additions & 2 deletions pandas/core/config_init.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -100,7 +100,10 @@ def use_numba_cb(key: str) -> None:
: int
If max_rows is exceeded, switch to truncate view. Depending on
`large_repr`, objects are either centrally truncated or printed as
a summary view. 'None' value means unlimited.
a summary view.

'None' value means unlimited. Beware that printing a large number of rows
could cause your rendering environment (the browser, etc.) to crash.

In case python/IPython is running in a terminal and `large_repr`
equals 'truncate' this can be set to 0 and pandas will auto-detect
Expand All @@ -121,7 +124,11 @@ def use_numba_cb(key: str) -> None:
: int
If max_cols is exceeded, switch to truncate view. Depending on
`large_repr`, objects are either centrally truncated or printed as
a summary view. 'None' value means unlimited.
a summary view.

'None' value means unlimited. Beware that printing a large number of
columns could cause your rendering environment (the browser, etc.) to
crash.

In case python/IPython is running in a terminal and `large_repr`
equals 'truncate' this can be set to 0 or None and pandas will auto-detect
Expand Down
Loading