You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Sometimes, the axis tick labels overlaps. In such cases, manually adjusting their positions slightly is one solution. However, I found that this doesn't seem to work.
Here is a simple example. I simulated a situation where the text would overlap by setting a smaller figure size.
As it can be seen, the y-axis labels '0' and '5' have some overlap.
Then, I obtained the y-axis tick label objects using get_yticklabels and tried to raise the position of '5' using set_position. As shown below, nothing changed.
Ticks (and their labels) are dynamically positioned through the locator (and possibly updated). Trying to manually move a tick label is fighting against this mechanism. I won't exclude that you may be able to achieve this with the right set of commands, but it's non trivially depending on matplotlib internals and I strongly advise against doing that.
Such label overlap should only happen in extremly small plots and is therefore a very edge case. Better alternatives include
explicitly set other tick positions
use a slightly smaller font
if you really must: text.set_visible(False) and manually place a new text at the desired position.
Bug summary
Sometimes, the axis tick labels overlaps. In such cases, manually adjusting their positions slightly is one solution. However, I found that this doesn't seem to work.
Here is a simple example. I simulated a situation where the text would overlap by setting a smaller figure size.
As it can be seen, the y-axis labels '0' and '5' have some overlap.
Then, I obtained the y-axis tick label objects using
get_yticklabels
and tried to raise the position of '5' usingset_position
. As shown below, nothing changed.Code for reproduction
Actual outcome
Expected outcome
The position of '5' on the y-axis should be adjusted upwards.
Additional information
No response
Operating system
Debian
Matplotlib Version
3.10.1
Matplotlib Backend
module://matplotlib_inline.backend_inline
Python version
3.13.2
Jupyter version
4.4.0
Installation
pip
The text was updated successfully, but these errors were encountered: