Oh dear, I'm still working on erosion. For quick experimentation, I've even broken out #Python, #Jupyter, #numpy and #matplotlib.

Here's a neat picture showing that something is working a little bit, although I think usually rivers are lower than the surrounding terrain, not higher.

Where will this end?

#python

More of a general question about community. I want to draw a pie plot, in a package/rendering engine that is not #matplotlib . But I know that matplotlib does do the math I need.

Theoretically, the "correct" approach would be to isolate that math, make a new package and hook it in so that both matplotlib and my new package can now use the same math, same package. I can reuse the math I need without their rendering assumptions.

But I don't think they would do this. (1/2) ...

Here’s Google search interest for “remove president” from 2020 to 2025.

Dive into a GRASS tutorial!

Discover how to create plots directly in GRASS using tools powered by the matplotlib library. No conversion needed! Visualize your raster, vector, and time series data effortlessly. Check it out and give it a try!

#Tutorial #DataVisualization #GRASS #GIS #Python #Matplotlib

https://grass-tutorials.osgeo.org/content/tutorials/good_looking_plots/good_looking_plots_in_grass.html
https://grass-tutorials.osgeo.org/content/tutorials/good_looking_plots/good_looking_plots_in_grass.html

Not sure if I will use it for anything, but it was fun to make!

Jebus.. #Python and all it's batteries. So #Matplotlib knows how to talk #SVG already. I just started to speculate on how hard that would be to implement and.. it's already there built into Matplotlib.

Well. That worked out rather nicely then.

Being back working in Python feels way too magical at times.

Turns out the mechanisms I'd already put in can do graphs and plots already with clean readable markdown - no new plumbing needed.

I'd have thought that a far-fetched goal moments ago.

Played around a little bit with #numpy and #matplotlib in #python to create a #cyberpunk #voxelart avatar featuring a #c64 #geos disk icon. #procrastination

I plotted a graph with some very small numbers. The scale of the vertical axis is listed as "1e-5+5.802e-1". What does this mean? I understand scientific notation, but not a sum of two numbers in this context. Where do the invisible parentheses go?

#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 https://github.com/Lisa-Ho/small-data-projects?tab=readme-ov-file#042025-animal-rescue-incidents

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'.

Oh look, a rainbow! Exploring the Visible Spectrum with Python Part 1
In this article I write Python code to calculate the frequencies, wavelengths, energies and RGB values of light across the visible spectrum. (Next week in Part 2 I plot the data using Matplotlib.)
#python #pythonprogramming #physics #numpy #matplotlib #light #spectrum
https://codedrome.substack.com/p/visible-spectrum-python

Included some #matplotlib in a #livecoding performance! Who said that #python cannot be used?

Music by @TodePond

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 ) https://github.com/Lisa-Ho/small-data-projects/blob/main/README.md#032025-marvel-money-tree

3点を通る円の描写方法
https://qiita.com/arairuca/items/fbecad249f8d4dced499?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

Compare the Best Data Visualisation Libraries for Python and Pandas

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

https://www.youtube.com/watch?v=4HpSFIekqDw

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.

Visualizing Interconnected Networks with Matplotlib and NetworkX
Learn to visualize complex networks using Network Visualization Matplotlib & NetworkX in Python. Create insightful visualizations & communicate complex data clearly! #NetworkVisualization #Python #Matplotlib #NetworkX #DataVisualization #GraphTheory
https://tech-champion.com/programming/python-programming/visualizing-interconnected-networks-with-matplotlib-and-networkx/

Network Graph Visualization: Improving Clarity in Dense Clusters with NetworkX
Improve Network Graph Visualization with NetworkX & Matplotlib! Learn simple yet effective strategies to enhance clarity, especially in dense clusters. Explore alternative layout algorithms & parameter adjustments for insightful data representation. #NetworkGraphVisualization #NetworkX #Matplotlib #DataVisualization #GraphTheory #Python
https://tech-champion.com/programming/python-programming/network-graph-visualization-improving-clarity-in-dense-clusters-with-networkx/

Visualizing Sales Data with a Matplotlib Heatmap: A Step-by-Step Guide
Visualize your sales data effectively with a Matplotlib Heatmap! Learn how to create insightful heatmaps step-by-step, from basic setup to advanced customization. #DataVisualization #Matplotlib #Heatmap #SalesData #Python #DataAnalysis
https://tech-champion.com/programming/python-programming/visualizing-sales-data-with-a-matplotlib-heatmap-a-step-by-step-guide/

Matplotlib Axis Formatting: Removing Leading Zeros from X-axis
Master Matplotlib Axis Formatting to create clear, professional plots! Learn to remove leading zeros & enhance your data visualizations. #Matplotlib #Python #DataVisualization #DataScience #Programming #Charts
https://tech-champion.com/programming/python-programming/matplotlib-axis-formatting-removing-leading-zeros-from-x-axis/