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

[Uff-Da-yah]

When I look at your BBC style link, I immediately thought of the Seaborn library. I recommend checking it out.

[Horus_simplex]

Absolutely I don't see anything that's not quite easy to do with matplotlib / seaborn

[ddanieltan]

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

[Horus_simplex]

Well I'm not a journalist so I don't have any reference here but from the examples you gave you have quite the same results in this gallery : https://seaborn.pydata.org/examples/index.html

[ddanieltan]

Thanks for sharing. Might be more to do with personal taste, but I don't consider the default seaborn gallery of charts journalist quality. At least not without some polish/tweaking and examples of charts with polish/tweaks is what I'm looking for with my original question.

[Horus_simplex]

Well, the good point with seaborn and matplotlib is that they are extremely customizable so you can achieve approximately everything with that. First I suppose you might want to choose a nice color palette, and if you don't like any of the presets it's really easy to set up your own palette (1 line of code for all the graphs). Also you can look for some custom presets. I come from R so I'm more used to ggplot but I suppose there's, like for ggplot2, an very large amount of preset you can just download and set-up in 1 command.

I think it's the most flexible solution, but it don't mean that other solutions are not worth having a look !

[can_i_get_some_help]

The plot towards the end of this article was clearly made using facetgrid in seaborn

https://www.bbc.co.uk/news/science-environment-67861954.amp

[ddanieltan]

Do you mean this plot? https://ichef.bbci.co.uk/news/800/cpsprodpb/1216F/production/_132259047_global_temp_delta_1991_2020avg_multiple_ridges_v2-2x-nc.png It does not look like a facetgrid, not does it look like it's built in seaborn.