My Pain

I would like to be able to create awesome analytics apps. One fundamental component for users work flows is the FileInput.

The look and feel of the current FileInput widget is basic.

I would like it to look and feel more modern. One thing that is not obvious to me

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

1. "Conclusion" section of "Getting started with Tablesaw" page contains broken link to "Java Docs".
   https://jtablesaw.github.io/tablesaw/gettingstarted#conclusion
2. "Exploring tables" section of "Getting started with Tablesaw" page contains broken link to "plotting".
   https://jtablesaw.github.io/tablesaw/gettingstarted.html#exploring-tables

Improvement description

Extend the LegendExamples with one that first shows but then hides the legend.
Why? It took me a while to find the IsLegendVisible property.

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

Use-case / Problem statement

As a notebook user, if you repeatedly use "Run All", the archive grows with each iteration. It would be nice if you could clear remnants of older executions on activation.

Right now, this is only possible via hv.archive._files.clear() after the hv.archive.auto call.

Proposed solution

Add a public clear() method to the FileArchive class, delegating

Currently, the headless mode uses default parameters from PyChromeDevTools for connecting to a chrome headless instance.
https://github.com/maartenbreddels/ipyvolume/blob/e68b72852b61276f8e6793bc8811f5b2432a155f/ipyvolume/headless.py#L53
However, if you use a chrome headless running as docker instance and want to connect from another docker instance (e.g. when using docker-compose), the headl

Only relevant to pyplot with most recent matplotlib

plot(1:10)
sys:1: MatplotlibDeprecationWarning: Passing the fontdict parameter of _set_ticklabels() positionally is deprecated since Matplotlib 3.3; the parameter will become keyword-only two minor releases later.
sys:1: UserWarning: FixedFormatter should only be used together with FixedLocator
sys:1: MatplotlibDeprecationWarning: Case-i

So that other people (like me) can help development of the interactive API. At the moment it is something alien that I Can just use through example. This is not the proper way forward...

(finally found Mouse in interaction/iodevices.jl...)

We don't currently demonstrate how to:

• Use bounds and colors
• Pass in a custom norm and colormap