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#30DayChartChallenge Day1 Fractions - animal rescue incidents attended by the London fire brigade.

5 of 10 animals rescued are cats, but there are some interesting differences between boroughs - birds in Westminster, horse in Bexley, foxes in Hammersmith.

Made in #python #matplotlib using custom svg markers + #pyfonts to read in Google font.

Full code github.com/Lisa-Ho/small-data-

Seeking recommendations for a #WebMapping tutorial / course?

Slightly at sea on where to start.

- My current JS skill level is _extreme novice_.
- I don't have access to ArcGIS.
- Comfortable with #QGIS [*] and the #python #geospatial ecosystem (#geopandas #xarray #rasterio and plotting with #matplotlib)

Suggestions welcome. TIA. 👍

* I have looked at the qgis2web plugin, but having some issues associated with my aged laptop (2012 mbp running Ubuntu) and a 'Wayland session'.

Weekend viz. Marvel money tree showing box office sales by film and series.

Avengers are the most succesful series in in terms of box office sales with Avengers: End Game on top ($2,797m). Captain Marvel is the most succesful standalone film ($1,129m).

Data from Information is Beautiful (up until Jun 2023). Visual made 100% in #python #matplotlib.

Full code here (not pretty though 😁 ) github.com/Lisa-Ho/small-data-

"Plotando estatísticas básicas com #Polars e #Matplotlib - #NLP 04 " @dunossauro #Python

youtube.com/watch?v=4HpSFIekqD

Hoje eu aprendi uma ideia ótima do Dunossauro que é imaginar que o ax do fig, ax do matplotlib (axis/eixo) é como uma haste onde penduramos as coisas! Como é fundamental o trabalho dele pra nossa comunidade.

Update: inicialmente achei que era uma tradução corrente mas ele me explicou que não.

buried treasures found during some personal data curation.

9 years ago I made this plot of sea ice draft and surface elevation from 3 different expeditions to similar regions of East Antarctica, from top to bottom 2004, 2007 and 2012. I'm pretty sure the aim was to show how the 2012 expedition changed the boundaries of what sea ice "looks like". I was involved in both 2007 and 2012 campaigns, organising sea ice drilling teams ;)

Replied in thread

@futurebird I've found that in my own basic computing I do everything in #Jupyter notebooks these days - working out and documenting whatever I'm doing cell by cell, examining and displaying data, plotting stuff, etc.

I suspect that this might be a fantastic way to teach CS - teaching just enough #Python, #Matplotlib, #Markdown, etc. to use notebooks as a go-to tool for just *doing* stuff (especially exploring data).

Whether iteratively developing a tool, exploring data, physics, math, etc.

If you have been using #py5 for a while, this page about #matplotlib integration is a documentation gem It opens up the possibility of making "live", real time and interactive, maplotlib charts, but even if you are not into #dataviz, it shows the beautiful #profiling tools integrated with py5 and how to use #threading to improve performance. In the end you also learn about named colors and the clever "Colormap Color Mode" feature.

py5coding.org/integrations/mat #python #processing4 #profilers #colormapps

www.py5coding.orgCharts, Plots, and Matplotlib — py5 documentation