What do people use / recommend for plotting *publication quality* plots of mathematical functions.

Not plotting data, plotting functions.

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In opensource, matplotlib is huge, but it is fundamentally plotting data points, and plotting functions means creating domain data points and calculating their mapping, and plotting that. Unsatisfactory imo.

Similarly for the other tool, ggplot2 in R, it is designed for data.

In proprietary software, Mathematica is also huge, but imho their plots have always look janky and not publication quality.

What I haven't explored is "latex packages" which purport to do function plotting. I'd be surprised if they did fancy things like not crashing at singularities. Is this what authors use for polished publications?

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Attached image is mathics3, an open source implementation of the Mathematica language. Looks fine for blogs, but not for a book typeset in the style of the classic Springer texts imho,

#opensource #maths #visualisation #plotting

The Digital Humanities Awards 2025 are open for voting!!

Check out all the nominated resources here: http://dhawards.org/dhawards2025/voting/

And remember to vote before April 17, 2026!

#DigitalHumanities #Awards #Vote #Projects #Visualisation #Resource #DH_for_fun #DHAwards

Oh this is quite a fun 3D #visualisation of planes taking off and landing. https://aeris.edbn.me/?city=BER&mc_cid=3c940a7cb7&mc_eid=df1708fe27

Surprised FlightRadar24 doesn't seem to have this mode; only 3D for an individual plane unless I'm missing the button for this.

via ZSA newsletter

#aviation

The #Pudding really outdid itself with this #MonumentValley -inspired #visualisation to explain getting pregnant and having a child

https://pudding.cool/2026/03/ivf/

How to draw Yin & Yang

https://tube.blueben.net/w/koQDk5Jaa82RqMK6oNr1W3

Graphing historical statistics of counters of an application.

No idea how to deal with these values yet....

[edwin.groothuis@sg-shared ~]$ printf "%x\n" 18446744073709551492
fffffffffffffff3
[edwin.groothuis@sg-shared ~]$ printf "%x\n" 9223372036854775807
7fffffffffffffff

#overflow #underflow #visualisation

#NeuroScience #EEG #LSL #Spectrum #FrequencyBands #Visualisation #Samadhi

Samadhi 2026.1 released:

• Stack plot for history graphs.
• Frequency band coding in Radiant Ripples display.
• Intensity Coding in Radiant Ripples display.
• Sampling rate correction.
• Minor improvements and bug fixes.

Official site: https://samadhi-eeg.info.

Release notes: https://github.com/jkanev/samadhi/releases/tag/2026.1

Download:
• Via PyPi using "pip install samadhi'
• Binaries for Windows and Linux on https://github.com/jkanev/samadhi/releases