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- 19:10tacaswell commented #16295
- 19:10larsoner commented #16294
- 18:57tacaswell milestoned #16295
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- 18:42tacaswell commented #16298
- 18:42meeseeksdev[bot] milestoned #16346
- 18:42meeseeksmachine opened #16346
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- 18:42LaurenceMolloy commented #16338
- 18:41
tacaswell on master

Don't recursively call draw_idl… Merge pull request #16298 from … (compare)

- 18:41tacaswell closed #16298
- 18:41tacaswell closed #16294
- 18:36jklymak commented #16329
- 18:35
jklymak on master

Added zorder to clabel, test, w… better default value for clabel… removed a line to make flake8 h… and 2 more (compare)

- 18:35jklymak closed #16329
- 18:35jklymak closed #7957
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- 18:05tacaswell milestoned #16294
- 17:58
jklymak on master

Remove mention of now-removed -… Merge pull request #16341 from … (compare)

static formats we support png svg pdf ps jpeg tiff (and really we should be able to support anything that pillow supports, because that's what does the writing for everything but svg/pdf/ps)

animations we support, well, anything that either imagemagick or ffmpeg supports (because we just pass the arg to them), as well as gif and html/js

(gif via pillow)

doc ci is broken due to scipy/scipy#11401, let's see how quickly they resolve it, otherwise we can just fix the url in doc/conf.py in the meantime

it's not terribly formal

In that case you might want to check out https://github.com/scikit-hep/boost-histogram which is being developed in the HEP community

And I should likely assimilate my meeting notes back into v4 stuff as it's currently scattered across https://github.com/story645/proposal/tree/master/notes

numpy has a new beginners guide and it's great, but what's the simplest way to do the mpl section? https://numpy.org/devdocs/user/absolute_beginners.html#plotting-arrays-with-matplotlib

also, can subplot_kw take a list of dictionaries for each subplot or not so much?

(not everything has to be a single function call, IMO)

(although matplotlib/matplotlib#15287 may help too, :wink:)

@kirk86, Matplotlib is not a symbolic math package, nor is it meant to work directly with one. Its meant to plot NumPy arrays (and children). If you can conceive of representing your function as a numpy array, Matplotlib is your tool. If you can't, then there are other tools out there (Maple, Mathematica?)

(although iiuc sympy just numerically evaluates the function at a fine level of detail and passing that numerical data to matplotlib)

HI!

What do I pass to the

https://matplotlib.org/3.1.0/api/ticker_api.html#matplotlib.ticker.SymmetricalLogLocator

What do I pass to the

`transform`

argument of the `SymmetricalLogLocator()`

?https://matplotlib.org/3.1.0/api/ticker_api.html#matplotlib.ticker.SymmetricalLogLocator

I'm trying to use this in a

`contourf()`

.
I think this is the answer I was looking for:

https://discourse.matplotlib.org/t/the-transform-argument-of-symmetricalloglocator/20847/2

https://discourse.matplotlib.org/t/the-transform-argument-of-symmetricalloglocator/20847/2