ALL software version info (bokeh, python, notebook, OS, browser, any other relevant packages)

python: 3.7.7
bokeh: 2.2.1
jupyter_core: 4.5.0
jupyter_client: 5.3.3
Chrome 85
macOS Catalina 10.15.7

Description of expected behavior and the observed behavior

In CSS, identifiers cannot start with a digit, two hyphens, or a hyphen followed by a digit (see [reference](https://www.

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

Create a new series type that draws pixels. It is similar to st=:scatter with smallest size and no border if backend cannot draw pixels natively. PyPlot and GR are capable of this where the benefit is vastly faster plotting for huge data where line plots take too long

What is the feature ?

I'm trying out this library for the first time and I'm seeing several places where some shorthand functions would have been really pleasant:

1. Shorthand functions for Pos: Pos::top_right, Pos::bottom_right, Pos::bottom_center etc..
2. Short way to set colors for components. My plots are supposed to be white-on-black, which requires a lot of boilerplate on lots o

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