• Improve navigation so that axes appear right before the data
• Improve navigation so that titles for facets appear before the axis
• Remove the faceted variable from tooltips. For example in https://vega.github.io/vega-lite/examples/trellis_bar.html, we don't need to repeat "female" since it's the same value for the whole subview.

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

Hey folk! Just a little feature request for your brilliant tool - Manual pages!

I work offline quite a bit, and whilst jp --help does provide some basic documentation, some full-fledged man pages with examples would be much much appreciated!

For discussion, see IndrajeetPatil/ggstatsplot#333 (comment)

Multiple people with little knowledge of Python have expressed interest in running the scripts.

There should be either a very simple guide or video, or a guided script that would let anyone render the final graphics.

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.

I absolutely love function-plot and appreciate all the work you have done.

As shown in the screenshot below from this CodePen reproducible example, the legend text gets chopped off when a function is plotted wide.

The text y is set on

(Not needed for JOSS review) directly related to #31
I really like the package 🙂 but I think it makes a whole lot of sense to me since I use both MATLAB and R on a regular basis.
I know the documentation is currently a work in progress and it can be quite time-consuming. However, it might be worth considering writing a pure MATLAB users intro tutorial as the grammar of graphics might be comple

Hi there, this repo looks great.

One question: can ndarray be used directly or conveniently with plotly?

Right now it's hardcoded.

I can run the code following this link;
https://pymeasure.readthedocs.io/en/latest/api/instruments/keithley/keithley2400.html

_from pymeasure.instruments.keithley import Keithley2450
keithley = Keithley2450("USB0::0x05E6::0x2450::04407378::INSTR")
keithley.apply_voltage() # Sets up to source current
keithley.source_voltage_range = 10 # Sets the source current range to 10 mA