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Corrected plot_anomaly_log_colouring for new Matplotlib linscale rules. #4115
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I'll be honest, I'm really struggling to match this comment up with what the mpl docs say about
linscale
. I'm getting the feeling that either the original comment was wrong, or the behaviour has changed. Or I'm just missing something... 😕There was a problem hiding this comment.
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It's the first bit about "linthresh=minimum_log_level" that I'm particularly struggling with, rather than the changed bit.
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The language of these comment lines makes no sense to me either, but I assumed that to be due to the writer's greater knowledge in this area. Seems important to understand and correct before merging.
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Looks like @pp-mo was the originator, but a Whole Seven Years Ago!!! #1040
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Given how much matplotlib would have moved on in seven years, it's entirely possible that there are better ways of achieving this outcome now anyway. So possibly we should just merge this now for the sake of fixing master, and open a new issue to revisit later?
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Having read in more detail and talked it over with @stephenworsley, I'm reasonably happy with how it's written already.
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Just found this.
FWIW there was a perfectly good documentation for this up to Matplotlib v3.3,
https://matplotlib.org/3.3.4/api/_as_gen/matplotlib.colors.SymLogNorm.html
But they seem to have lost it somewhere since ??
update : It's not unique : a lot of the classes have lost their docstring details.
I'm trying to work out how to raise this as an issue.