Several generalized scripts for making donut plots that include subgroups
Click on launch binder badge above to spin up a sesion where you can make plots.
These scripts/approaches take dataframes or tabular text (tables as text) as input.
If you have data as a table from elsewhere you can convert it/export into tabular text as tab-separated or comma-separated form and that can be used as input by any of the approaches here.
There are five demo notebooks:
The first notebook that opens in the active session demonstrates a script that makes it easy to make a plot like the following from a dataframe or data table.
Typical input for first two notebooks (only a portion is represented; red annotation added for illustrating terminology):
Typical results (two separate images shown):
The second notebook shows the underlying code that runs that script and makes a plot like shown in the example from The Python Graph Gallery.
Typical result:
The third notebook shows how to make a plot that includes a summary of the subgroups on the left with a plot with the subgroups on the right.
Typical input (red annotation added for illustrating terminology):
Typical result:
The fourth notebook shows how to make a plot much like the third notebook produces; however, this script is specialized for binary data for the subgroups, i.e., they can only have two resulting states at most.
Typical input (red annotation added for illustrating terminology):
Typical result:
The fifth notebook shows how to use a custom list of colors with the idea that you can finetune the plot for matching a color palette:
Typical result:
Click on a launch binder badge on this page to spin up a sesion where you can make plots.
- gos: (epi)genomic visualization in python looks to create donut-plot like heat maps according to that page (although at the time I was unable to find an example of that type among the gallery that included code)