Automatically Update Matplotlib Text Position with Python adjustText to Avoid Overlaps

[@Phlya1]

Hi from the author of the library! Very nice video, thank you for creating it :)
Note that a new version is now in the works that will make the code much faster and results more robust.

[@KimberlyFessel]

Excellent! Yes, I saw that you released a new version since I follow you on GitHub. 😄 Can't wait to check it out. Thanks for creating this fantastic library!

[@Phlya1]

@@KimberlyFessel the release doesn't have too many changes, but the next one will! You can already try the master branch.

[@sauravroy3420]

dear Ilya, may the lord bless you and give you all the hapiness in the world!!

[@pelckarol]

This was honestly one of the best planned put videos on Python libraries I've seen. Perfect structure, very concise, focused on key objectives. Thank you!!

[@keithshotton7359]

Thank you so much, I love this! I've been stuck with annoying overlapping labels on some of my plots for ages - not any more!

[@kroonerkim]

Thank you for sharing very useful library!

[@user-jd8jx5fe6r]

underrated channel w helpful tips..subbed instantly

[@KimberlyFessel]

Oh thank you very much for subscribing - glad to hear my tips are helpful!

[@visintel]

I looked for a solution everywhere, thanks!

[@phillipyu6260]

I LOVE THIS! Been trying to find an automated technique for labelling scatter charts. For work, I have been forced to manually adjust it by hand in excel... I will definitely be taking advantage of this!!

[@KimberlyFessel]

Oh excellent! Yes, I have definitely incorporated this library into my plot-making workflow. Very helpful! 😄

[@gabrieltomaz3581]

This was easy and helpful. Thanks for sharing.

[@j_quads]

Thank you!

[@KauleisteClever]

Awesome, this saves so much time. Thanks for sharing!

[@KimberlyFessel]

Right!? I love how useful this library is. My pleasure! 😄

[@AliMBaba-do2sl]

Very interesting Dr. Thank you.

[@KimberlyFessel]

Most welcome - glad you found it interesting!

[@jyh4820]

謝謝

[@vitokonte]

thanks!

[@KimberlyFessel]

Most welcome!