Python Data Visualisation

https://tech.marksblogg.com/python-data-visualisation-charts-graphs-plots.html

by domoritz • 4 years ago

39 7 4 years ago

tech.marksblogg.com

srvmshr2• 4 years ago

Wondering what is the purpose of the post. It is a cut-&-dry introductory post for Altair using very standard library features that most data science people (using Altair, albeit a smaller group than matplotlib) know. Maybe its just me, but I was expecting some neat hack using some less known features. What am I missing?

hfbff• 4 years ago

I agree, I don't see anything that adds value over the altair docs

wodenokoto• 4 years ago

I think it’s personal SEO. They guy is a consultant and now he has a hit for a lot of keywords he wants to be known for.

Looking at linkedin I have built a theory that clients/recruiters aren’t very sophisticated so low effort, low insight technical articles is what moves the needle for them.

pizza• 4 years ago

What is the go-to tool for realtime, 60fps animated visualization in Python? Preferably something versatile that could handle either spectrograms or tree-/graph-structured data.

I’ve seen suggestions of using matplotlib animations but it’s never been smooth or streaming, in my experience. Is there is a great C/C++ library for this, also? It might not be too challenging to write bindings if necessary.

ducktales• 4 years ago

3blue1brown (the YouTuber) uses a python library for all animations, I believe

srvmshr2• 4 years ago

Manim. But it has a very steep learning curve.

wilsonfiifi• 4 years ago

Any time I encounter a charting or data visualization library, the first thing I look for is how difficult is it to export the charts to PNG. In most cases you’ll find out that they require you to install node.js to accomplish that. It will most likely involve rendering the chart using jsdom and then triggering the “click to export” button to generate the PNG file. This seems like such a convoluted process and I can’t help but feel there must be a much simpler/cleaner way to go about it.

So far, Pygal [0] seems to be one of the few that gets it right in my opinion. The only drawback is that the charts aren’t as “pretty”.

[0] https://www.pygal.org/en/stable/index.html

Python Data Visualisation

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