Deprecate Axes.arrow/pyplot.arrow #20387
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This was referenced Feb 3, 2022
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I'd like to bump this. Just spent quite some time trying to get this to work on a polar plot before I stumbled across the relevant Github issues saying that |
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There are 17k usage of I think we have to take it slow (and yes we should have started that process 4 years ago).
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timhoffm
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Jan 24, 2025
The arrow() design is broken beyond repair. Even though we currently only have to offer `annotate` as a workaround, we should make the limitations more prominent then just a note and we should steer users away. This is a a step towards deprecation (matplotlib#20387). Unfortunately the discussion of a replacement has stalled (matplotlib#22435) and we have to revive it later. But that shound not hold us from pointing out the flaws of arrow() more prominently.
timhoffm
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Jan 24, 2025
The arrow() design is broken beyond repair. Even though we currently only have to offer `annotate` as a workaround, we should make the limitations more prominent then just a note and we should steer users away. This is a a step towards deprecation (matplotlib#20387). Unfortunately the discussion of a replacement has stalled (matplotlib#22435) and we have to revive it later. But that shound not hold us from pointing out the flaws of arrow() more prominently.
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Bug report
Bug summary
Axes.arrow/pyplot.arrow generates a FancyArrow, which has a rather awkward API (#12768); we typically suggest to use Axes.annotate/pyplot.annotate instead (even the docstring of arrow() does so!). We may want to keep FancyArrow around for backcompat (it is simple to convert calls to arrow() to
ax.add_patch(FancyArrow(<the same args>))), but at least we should consider deprecating the toplevel arrow() function, which is just a bad trap for any new users.Matplotlib version
import matplotlib; print(matplotlib.__version__)): 3.4.xprint(matplotlib.get_backend())):The text was updated successfully, but these errors were encountered: