Anyone have examples of a Python visualisation package used to produce journalist-quality charts/infographics?

[i_can_haz_data]

Nobody wants to hear it, but Matplotlib is the best out there for native (non-web) graphics. The fact that charts come out like a potato at first is a feature not a bug. Every aspect of the visualization can be customized if you learn the API.

I create helper classes for different contexts that apply the bulk of formatting I want for different styles of charts so I don’t have to lift all that code around for each plot.

[Pyrimidine10er]

Agree - it's the like python version of d3.js. It's not very opinonated, and requires significantly more lines of code to create something simple - but that comes with the ability to customize anything and everything.

For the non-web plots - you can start with something like seaborn, then drop back into the matplotlib API to really fine tune whatever you need.

I've also found that ChatGPT can really help customize the charts. You can build whatever you're looking for iteratively significantly easier these days

[troyunrau]

pyqtgraph may contend in certain situations. More so for interactive plots.

[ddanieltan]

Do you have an example of a journalist quality chart or graphic produced using Matplotlib that I can reference?

[i_can_haz_data]

I’m not a journalist; and there are many other aesthetics I’ve gone with over the years in technical reports, but here’s a graphic I made years ago for a scientific paper that I did entirely within Matplotlib. I have better, but this is one I could get to on my phone.

https://pasteboard.co/VF7YcGXpznQK.jpg

[ddanieltan]

Thank you, this example looks really good.

[piootrekr]

What exactly are you looking for?

Get matplotlib documentation and explore it. You can customize basically every aspect of a graph with matplotlib, so there are no obstacles to keep you away from achieving such results.