figures | Unicode symbols with Windows CMD fallbacks | Command Line Interface library

I have created a GUI app in Python tkinter for analyzing data in my laboratory. There are a number of buttons, figures, and canvas widgets. It would be helpful to take a screenshot of the entire window ('root') using just a single button that saves the filename appropriately. Example using Mac's built-in "screenshot" app here.

Related questions here, here, and here, but none worked successfully. The final link was almost successful, however the image that is saved is my computer's desktop background. My computer is a Mac, MacOS Monterey 12.0.1.

'root' is the tkinter window because

I'm trying to annotate a few figures I created in python. So, I'm generating an image containing the specified text (using PIL ImageDraw) and concatenating it with the image. Now, I want to include a math notation into the text. Is there a way to write text in latex math when creating the image of text? This answer suggests a work-around by using unicode text, but I would prefer writing the text in latex directly.

MWE:

I am seeking to make a large set of sankey graphs for flows between 5 nodes at Time1 and 5 nodes at Time2. I would like the nodes to be drawn in the same order every time, no matter the size of the nodes or flows. However, some of these graphs are drawn with nodes out of order. I attempted to dynamically calculate intended node.y positions, but they appear to be getting overridden or ignored.

The following code will produce four figures:

• fig1 has data that results in out of order nodes.
• fig2 has data that results in well-ordered nodes.
• fig3 uses the fig1 data and includes an attempt to force the node.y positions but fails and looks just like fig1.
• fig4 uses fig2 data and manual node.y positions that successfully swap the order of Node 8 and Node 6

I added a pkgdown site to my vcdExtra package and cannot figure out how to control the size of the package hex logo that appears on the main page built by pkgdown, https://friendly.github.io/vcdExtra/index.html

The README.md file contains a line to insert the image at 200 pixels

The figure below is a conceptual diagram used by Michael Clark, https://m-clark.github.io/docs/lord/index.html to explain Lord's Paradox and related phenomena in regression.

My question is framed in this context and using ggplot2 but it is broader in terms of geometry & graphing.

I would like to reproduce figures like this, but using actual data. I need to know:

• how to draw a new axis at the origin, with a -45 degree angle, corresponding to values of y-x
• how to draw little normal distributions or density diagrams, or other representations of the values y-x projected onto this axis.

My minimal base example uses ggplot2,

There are existing questions asking about labeling a single geom_abline() in ggplot2:

• R ggplot2: Labelling a horizontal line on the y axis with a numeric value
• R ggplot2: Labeling a horizontal line without associating the label with a series
• Add label to abline ggplot2 [duplicate]

None of these get at a use-case where I wanted to add multiple reference lines to a scatter plot, with the intent of allowing easy categorization of points within slope ranges. Here is a reproducible example of the plot:

My sample data start with values beginning with 700 so that there is nothing between 0 and 700. I want to cut that range out of the line plot but I also want to point the reader to that cut by visualizing it like this. This example picture is manipulated via a drawing software just to explain what I want.

Something like this is explained in the matplotlib documentation. But I do not understand what happens there in the example code. And I am not sure if it fits to my case because the example cutting data. And I just want to cut the area where is no data present.

Here is a minimal working example producing line figure where the y-axis starts at 700 not 0. Can we start from here?

I would like to generate a hexagonal lattice heat-map in which each cell represents a group. Likewise, each cell would be a hexagon with a unique color (fill, set by a column color in the data-frame) value, and a saturation (alpha) value corresponding to continuous decimal values from a chemical concentration dateset.

I would like to use a standardized data format which would allow me to quickly construct figures based on standardized datasets containing 25 groups.

For example, a datasheet would look like this:

I'm using RTK (redux-toolkit) inside a Next.js App. And I'm trying to dispatch an AsyncThunk Action inside "getInitialProps". When searching I found a package called "next-redux-wrapper" that exposes the "store" inside "getInitialProps", but I'm struggling to figure out how to make it work with my project.

Here's a barebone sample of the project where I'm using Typescript with 2 reducers at the moment. One reducer is using AsyncThunk to get data from an API. I already installed "next-redux-wrapper" but I don't know how to implement it around the so that all pages get access to the "store" inside "getInitialProps". The Docs of that package has an example but rather a confusing one.

Here's how my store.ts looks like ...