cpal | The Common Programmable Abstraction Layer

This is tricky, because the process borrows an iterator, which in turn borrows a struct. Putting just the iterator into an Arc<>> is not sufficient, because this pointer might still outlive the FileType it borrows. However, we can't put both the FileType and the iterator into a reference-counted struct, since that struct would then be self-referential.

The easiest solution to this that I can think of (short of using scoped threads) is to create an iterator that owns the FileType, and then put it into a Arc<>> (minimal playground example):

hue_order can be used to force all hue values to be present (and set their order).

The family of seqplot functions offers a series of arguments to control the legend as well as the axes. Look at the help page of seqplot (and of plot.stslist.statd for specific seqdplot parameters).

For instance, you can suppress the x-axis with axes=FALSE, and the y-axis with yaxis=FALSE.

To print the legend you can let seqdplot display it automatically using the default with.legend=TRUE option and control it with for examples cex.legend for the font size, ltext for the text. You can also use the ncol argument to set the number of columns in the legend.

The seqplot functions use by default layout to organize the graphic area between the plots and the legend. If you need more fine tuning (e.g. to change the default par(mar=c(5.1,4.1,4.1,2.1)) margins around the plot and the legend), you should create separately the plot(s) and the legend and then organize them yourself using e.g. layout or par(mfrow=...). In that case, the separate graphics should be created by setting with.legend=FALSE, which prevents the display of the legend and disables the automatic use of layout.

The color legend is easiest obtained with seqlegend.

I illustrate with the mvad data that ships with TraMineR. First the default plot with the legend. Note the use of border=NA to suppress the too many vertical black lines.

I am pretty new to text shaping, but I managed, using Harfbuzz and Cairo to display emoji (with modifiers and ZWJ) onto a SDL2 window.

GitHub Repository.

Based on what you said, the main difference is that I used HarfBuzz version 1.8.2.

It looks like I missed installing some dependencies.

sudo apt install pkg-config libasound2-dev libssl-dev cmake libfreetype6-dev libexpat1-dev libxcb-composite0-dev

https://github.com/amethyst/amethyst#debianubuntu

In the end, I think the solution should be exactly the same as the one proposed in this recent question, and the current question could/should be marked as a duplicate.

I had to modify your code a bit because I could not see the points very well, but hopefully that wont make much of a difference.

Seaborn does not take a Colormap instance as input for .color_palette. It takes

name of matplotlib cmap, [...], or a list of colors in any format matplotlib accepts

Since cmocean registers its colormaps with matplotlib with a "cmo." prefix, you would do

Your issue is't the plotting, its the manipulation of your data before the plotting. I can't exactly work out what you're trying to do, but here's my attempt. It looks different to yours but I can't work out what you are trying to plot. In general, to plot across a grid, you can gather your variables to a tidy format (1 observation per row) then use faceting.

The issue probably arises because of the small boxes drawn around each observation. The solution is to use the border=NA argument. I illustrate using your data. However, with your federal group variable, one group has only one sequence while seqrplot requires at least two sequences by group. Therefore, I change the federal value for sequence 2.