Legend placement overlaps plot #39

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1. nmalkin commented on Oct 8, 2022

   

   nmalkin

   on Oct 8, 2022

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   The positioning of the legend is fairly straightforward to control:

   axes = plot_likert.plot_likert(df, scale)
   
   legend = axes.get_legend()
   legend.set_bbox_to_anchor((1.5, 1))  # or whatever

   This might be a good thing to add to the user guide. (PRs welcome until I get to it myself).

   Another option might be to allow passing in additional arguments for the legend, as is done, for example, in 533b570 in a fork. I'm reluctant to add features that don't seem strictly necessary, but I'm curious if there's a lot of demand for this.

   (This is all side-stepping the question of why the legend's placement is off in the first place. I don't know the answer to that, but I'm inclined to keep the default behavior rather than trying to second-guess matplotlib.)

   ❤️React with ❤️1Reacted by Eliot Robson
2. eliotwrobson commented on Apr 11, 2024

   

   eliotwrobson

   on Apr 11, 2024

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   I think this should be added to the examples as well, being able to control the position of the legend is super useful for generating plots in publications with page limits / other space restrictions.