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In my earlier article, I’ve launched the Python library known as PyCirclize
. It could actually assist us to generate very good Circos Charts (or Chord Charts in the event you like) with little or no effort. If you wish to know the way it could make the Knowledge Visualisation well- “Rounded”, please do not miss out.
Nevertheless, don’t fear if you’re solely within the Chord Charts with Hyperlinks. This text will ensure you perceive how to attract this kind of chart.
On this article, I’ll introduce one other sort of Chord Chart that PyCirclize
can do. That may be a Chord Chart with hyperlinks that may visualize proportional relationships between many-to-many entities very properly, and to this point is the most effective one amongst all of the identified typical diagram sorts.
Earlier than we begin, simply ensure to make use of pip
for putting in the library as follows. Then, we’re all good to go. Let’s discover this fancy chart collectively!
pip set up pycirclize
As traditional, let’s begin with one thing summary however simple to comply with. The aim is to point out you what the chart seems to be like and what’s the essential manner of plotting it. Let me put the complete code and the diagram at the start.
from pycirclize import Circossectors = {"A": 100, "B": 200, "C": 150}
sector_colors = {"A": "crimson", "B": "blue", "C": "inexperienced"}
circos = Circos(sectors, house=5)
for sector in circos.sectors:
monitor = sector.add_track((95, 100))
monitor.axis(fc=sector_colors[sector.name])
monitor.textual content("Sector " + sector.title, shade="white", dimension=12)
monitor.xticks_by_interval(10)
circos.hyperlink(("A", 0, 20), ("B", 50, 70))
circos.hyperlink(("A", 20, 40), ("C", 30, 50))
circos.hyperlink(("B"…
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