The requirement to no longer specify source in the args dict tripped me (a layman) up when using a script that worked in 1.40 in 2.0.2. I couldn't work out what was wrong so I asked in a StackOverflow thread where @bryevdv ex

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

Plotnine is different from ggplot2 in this regard.

Reference: https://stackoverflow.com/questions/59024019/add-text-to-figure-using-pythons-plotnine

Hi again,
a second issue I ran into is related to the userguide:
The example for Grouping on calculated columns regarding binning doesn't compile in v0.37.3 and apart from that doesn't lead to a reasonable result, as far as I see.

• Compilation isn't possible, as bin() returns a DoubleColumn (even if c

Improvement description related to the Text property

The Text property is of no use. Inheriting from UserControl instead of Control would fix this, i.e. hide it. Alternatively:

[Bindable(false)]
[Browsable(false)]
[DesignerSerializationVisibility(DesignerSerializationVisibility.Hidden)]
[EditorBrowsable(Edi

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

The API documentation on the website includes graphviz "cruft" in most of the pages,
making it hard to read. For instance, http://holoviews.org/reference_manual/holoviews.plotting.bokeh.html is particularly bad. It would appear that the documentation
is built without graphviz installed, and so sphinx is including the generated inheritance
diagram as just the raw graphviz code.

I think you

@simonbyrne noticed that the Gallery/Tutorial is slow to load. we should think about breaking it up into sub-pages, or using SVG instead of SVGJS, or ...

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

The documentation states that

Plots offers shorthands like png(fn), etc.

However, it appears that png() is the only convenience function that is exported, which is confusing for users trying to do pdf(fn).

I assume the intention is to export these functions? If not, having to

• Investigate CSS + nbconvert. Make sure it looks nice, and we can link between pages? (Sudeep)
• Integrate into sbt build (Aish)
• Write general overview on how to plot
• Write withData tutorial (plus Spark integration)
• Write rendering + notebook tutorial

In the manual/backends section, the example

unicodeplots()
plot([sin cos])

could not run, Julia 1.4.0 errors:

ERROR: MethodError: no method matching unzip(::Array{Tuple{Array{Float64,1},Array{Float64,1}},2})

You might have used a 2d row vector where a 1d column vector was required.
Note the difference between 1d column vector [1,2,3] and 2d row vector [1 2 

At the end of the "Getting Started with MetPy" page we have "Other Python Resources", that includes direct links to the gallery, workshop, online python training, and the MetPy Mondays playlist, as well as links to other relevant packages. It seems like we should:

• Update to point to Unidata Python Training site

In particular, the default rotation speed is not very good. Could we slow down the rotation speed by default? It is hard to interact otherwise.

Should reduce the distance from the annotation text to the target as much as possible - currently it's sometimes too far away, especially with long strings.

When reaching the end of the x-axis I get an hint box that is squeezed horizontally:

It should be wider as everywhere else in the chart:

To reproduce the issue:
https://elli

I’m realizing that not all of the API is covered in the documentation. Is there a way we can run sphinx and report the coverage for what is autodoc’d in the docs?

It would be ideal to have this at 100%

The tar-ball on github seems to have the doc and README.rst file, but the one from pypi is missing these. (Trying to package the lastest version for opensuse and the standard is to get the tar-balls from pypi). Would be great to include these again in the next version.

Thanks

A simple wiring diagram would be great, for either the servo wiring harness or the breadboard option (where the documentation states the RPi doesn't have enough 5v sources to drive all 3 servos).
Thank you

Currently, not all documentation entries have Ellie links with relevant examples. It would be great if they did.

Hi,

it would be very handy to have a pipe friendly function of sjp.scatter (or a new function) to diagnose pairwise patterns for all variables in a dataframe. What I mean by this is a function that creates a plot looking similar to scaleDiagnosis() from the package userfriendlyscience:

![image](https://cloud.githubusercontent.com/assets/7460499/23465464