plotting

Related to #11605:
At the moment there is no proper test to make sure that new options added to MultiChoice widget are implemented consistently on both sides, Python and JS.

The function argument list here declares None as the default value for shading

https://github.com/matplotlib/matplotlib/blob/30b3bd5b97a74c6b83235a6b055dce851a154a8f/lib/matplotlib/axes/_axes.py#L5838-L5839

but that does not seem to be in agreement with shading = 'flat' which is mentioned bit further down, namely at

https://github.com/matplotlib/matplotlib/blob/30b3bd5b97a74c6b83235

it's becoming more time-consuming and error-prone to manually re-test all the demos following internal refactorings and API adjustments.

now that the API is fleshed out a bit, it's possible to test a large amount of code (non-granularly) without having to simulate all interactions via Puppeteer or similar.

a lot of code can already be regression-tested by simply running all the demos and val

https://readthedocs.org/projects/chartify/builds/

What's your use case?
In other words, what's your pain point?

Variable names and their icons are shown as vertical header. This

• is ugly,
• doesn't show the selection properly,
• doesn't allow sorting by variable names,
• doesn't allow selection by dragging across a range of variables (though one can drag across rows in the table itself),
• and possibly something else.

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It is currently a pain to use an OxyPlot.WinfowsForms.PlotView with a transparent background: it throws if you set its BackColor to transparent. To avoid this, it is necessary to set the ControlStyles.SupportsTransparentBackColor style to true on the PlotView; however, Control.SetStyle is protected, so consumers must resort to reflection or extending PlotView to do so. This could be

I think it could be useful, when one wants to plot only e.g. class 1, to have an option to produce consistent plots for both plot_cumulative_gain and plot_roc

At the moment, instead, only plot_roc supports such option.

Thanks a lot

I don't think this is a duplicate ticket, even though it's quite an obvious feature after that cat demo at SciPy2018.

The code that selects and renders the different geos is here in the THREE.js code
https://github.com/maartenbreddels/ipyvolume/blob/master/js/src/scatter.js#L57

I don't know quite where/how to inject the mesh definition compatible with the data file of this form, but i

What is the feature ?

I'm trying out this library for the first time and there's some places where it would be delightful to have shorthand functions:

1. Shorthand functions for Pos: Pos::top_right, Pos::bottom_right, Pos::bottom_center etc..
2. Short way to set colors for components. Currently, lots of boilerplate is required for e.g. white-on-black plotos
   • a cool start would b

It would be nice to support adding arrow annotations to plots, similar to pyplot.arrow (from #245).

From here: http://makie.juliaplots.org/stable/plotting_functions/heatmap.html#MakieCore.heatmap there is really no info, e.g. how to choose colormap, how to set color range.

This issue describes how to submit a Style or Palette to ScottPlot and indicates expectations for pull request.

See the Hacktoberfest 2021 issue (#1274) for additional project ideas for new contributors.

Rules f

About 50% of our docstrings in PyVista have examples. This is fairly good, especially considering that many of these objects are not publicly exposed.

However, for modules like pyvista.plotting.plotting, it would be great to see nearly 100% coverage considering how important it is to be able to demonstrate the individual methods of the Plotting class.

This is a great first issue since it

As noted in this Stack Overflow question it would be good to be clear what’s going on in this function, including the equation.