Basic usage of the library PyCirclize — Circos Diagrams
If your job involves plotting data on graphs to illustrate insights, you may have heard of Circos charts for their fancy presentations. In fact, it is not only good for its appearance, but also for visualizing complex relationships such as the connections between genes in genome research. Of course, there are also some benefits for common data visualization use cases, such as more efficient use of space and highlighting patterns in cycles.
You might think that drawing a Circos chart would be difficult, but I would say no. With this wonderful visualization, PyCirclize
You can do that very easily in Python.
This article will show you step by step how to draw a very basic Circos diagram. In the next article, we will use this library to add real-world use cases and more complex graphs.
Don't spend too much time on how to install the library. This can be easily added to your Python environment using: pip
.
$ pip install pycirclize
Before we draw our first Circos chart, let's see how it works.
Of course, before all that, Circos
Get the module from the library package.
from pycirclize import Circos
A circle usually requires multiple sectors. You must initialize the Circos object with sector metadata. Sectors must be defined in the dictionary before being passed to the dictionary. Circos
constructor.
# Initialize circos sectors
sectors = {"A": 1, "B": 2, "C": 3, "D": 4}
circos = Circos(sectors, space=5)
of space
Specifies the amount of padding to add between sectors. Setting it to zero results in a “pie chart”.
Then loop through the sectors and render each sector whatever you want to display.
for sector in circos.sectors…