Lisa Hornung<p>What if all munros (mountains in Scotland > 3000ft or 914.4m) were on a single munro? 🗻</p><p>Fun visual experiment for <a href="https://fosstodon.org/tags/TidyTuesday" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TidyTuesday</span></a> using <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a>, pandas, <a href="https://fosstodon.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a>, pyfonts. </p><p>Code <a href="https://github.com/Lisa-Ho/small-data-projects?tab=readme-ov-file#082025-scottish-munros" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/Lisa-Ho/small-data-</span><span class="invisible">projects?tab=readme-ov-file#082025-scottish-munros</span></a></p><p><a href="https://fosstodon.org/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://fosstodon.org/tags/PydyTuesday" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PydyTuesday</span></a></p>
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#matplotlib
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Watson Tech World<p>Day 10 of my <a href="https://mastodon.social/tags/100DaysOfCode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>100DaysOfCode</span></a> challenge.</p><p>I practiced with making a custom visualization with <a href="https://mastodon.social/tags/seaborn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>seaborn</span></a> and <a href="https://mastodon.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a>.<br><a href="https://github.com/sinocelt/useful-pandas-code/blob/main/visualization/visualization-03.ipynb" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/sinocelt/useful-pan</span><span class="invisible">das-code/blob/main/visualization/visualization-03.ipynb</span></a></p><p>Also I wrote more in my <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> book which I might use in a course.<br><a href="https://github.com/sinocelt/learn-python-by-example/blob/main/learn-python-by-example.ipynb" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/sinocelt/learn-pyth</span><span class="invisible">on-by-example/blob/main/learn-python-by-example.ipynb</span></a></p><p><a href="https://mastodon.social/tags/HireMe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HireMe</span></a> <a href="https://mastodon.social/tags/JobSeeker" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JobSeeker</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/portfolio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>portfolio</span></a></p>
wahlatlas.net<p>Mit den <a href="https://norden.social/tags/opendata" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opendata</span></a> Wetterdaten des <span class="h-card" translate="no"><a href="https://social.bund.de/@DeutscherWetterdienst" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>DeutscherWetterdienst</span></a></span> unter <a href="https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/daily/solar/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">opendata.dwd.de/climate_enviro</span><span class="invisible">nment/CDC/observations_germany/climate/daily/solar/</span></a> kann man die Sonnenscheindauer gegen die Unfallzahlen plotten. <a href="https://norden.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> <a href="https://norden.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://norden.social/tags/fedibikes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fedibikes</span></a></p>
ruthpozuelo<p>Updated the website during lunch break.</p><p>The GPX poster is live:</p><p><a href="https://www.curbal.world/gpx_poster" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">curbal.world/gpx_poster</span><span class="invisible"></span></a></p><p>And the compare similar tracks is also live at the end of this page:</p><p><a href="https://www.curbal.world/anaerobic_training" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">curbal.world/anaerobic_training</span><span class="invisible"></span></a></p><p>Next project: profile a race track to come up with a plan to train and execute it :)</p><p>The elevation profile comparison tool is one of the pieces to this:</p><p><a href="https://www.curbal.world/upload_multiple_gpx" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">curbal.world/upload_multiple_g</span><span class="invisible">px</span></a></p><p><a href="https://mastodon.social/tags/running" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>running</span></a> <a href="https://mastodon.social/tags/run" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>run</span></a> <a href="https://mastodon.social/tags/runnersofmastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>runnersofmastodon</span></a> <a href="https://mastodon.social/tags/gpx" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gpx</span></a> <a href="https://mastodon.social/tags/garmin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>garmin</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://mastodon.social/tags/sports" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sports</span></a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a></p>
poleguy looking for lost tools<p>Some days I enjoy little things about my <a href="https://mastodon.social/tags/job" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>job</span></a> <br>Look at that beautiful noise at 500.600 MHz in my lab. <br>Confirming that I see single LSB resolution here.</p><p><a href="https://mastodon.social/tags/electronics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>electronics</span></a> <a href="https://mastodon.social/tags/ee" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ee</span></a> <a href="https://mastodon.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/dork" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dork</span></a> <a href="https://mastodon.social/tags/nerd" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nerd</span></a></p>
Victor Buendía<p>I usually do not ask chatgpt, but today after a long search for something on the internet I tried my luck. The result is the most crappy, useless thing I read in a while.</p><p>So, does anyone here know if I can embed a SVG/PDF plot as a <a href="https://fediscience.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> axis, and how? :)</p>
thomastc | frozenfractal<p>Oh dear, I'm still working on erosion. For quick experimentation, I've even broken out <a href="https://mastodon.gamedev.place/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a>, <a href="https://mastodon.gamedev.place/tags/Jupyter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Jupyter</span></a>, <a href="https://mastodon.gamedev.place/tags/numpy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>numpy</span></a> and <a href="https://mastodon.gamedev.place/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a>.</p><p>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.</p><p>Where will this end?</p><p><a href="https://mastodon.gamedev.place/tags/GameDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GameDev</span></a> <a href="https://mastodon.gamedev.place/tags/IndieDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IndieDev</span></a> <a href="https://mastodon.gamedev.place/tags/ProcGen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ProcGen</span></a></p>
bmaxv<p><a href="https://noc.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> </p><p>More of a general question about community. I want to draw a pie plot, in a package/rendering engine that is not <a href="https://noc.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> . But I know that matplotlib does do the math I need.</p><p>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.</p><p>But I don't think they would do this. (1/2) ...</p>
alpharee<p>Here’s Google search interest for “remove president” from 2020 to 2025. </p><p><a href="https://mastodon.social/tags/googletrends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>googletrends</span></a> <a href="https://mastodon.social/tags/google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>google</span></a> <a href="https://mastodon.social/tags/removepresident" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>removepresident</span></a> <a href="https://mastodon.social/tags/president" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>president</span></a> <a href="https://mastodon.social/tags/trump" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>trump</span></a> <a href="https://mastodon.social/tags/biden" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biden</span></a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://mastodon.social/tags/dataisbeautiful" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataisbeautiful</span></a> <a href="https://mastodon.social/tags/visualization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>visualization</span></a> <a href="https://mastodon.social/tags/politics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>politics</span></a> <a href="https://mastodon.social/tags/jan6" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>jan6</span></a> <a href="https://mastodon.social/tags/graph" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graph</span></a> <a href="https://mastodon.social/tags/plot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plot</span></a> <a href="https://mastodon.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a></p>
ruthpozuelo<p>Not sure if I will use it for anything, but it was fun to make!</p><p><a href="https://mastodon.social/tags/gpx" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gpx</span></a> <a href="https://mastodon.social/tags/runnersofmastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>runnersofmastodon</span></a> <a href="https://mastodon.social/tags/running" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>running</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mastodon.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a></p>
Peter Drake<p>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?</p><p><a href="https://mstdn.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mstdn.social/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>math</span></a> <a href="https://mstdn.social/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a></p>
Lisa Hornung<p><a href="https://fosstodon.org/tags/30DayChartChallenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>30DayChartChallenge</span></a> Day1 Fractions - animal rescue incidents attended by the London fire brigade. </p><p>5 of 10 animals rescued are cats, but there are some interesting differences between boroughs - birds in Westminster, horse in Bexley, foxes in Hammersmith. </p><p>Made in <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fosstodon.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> using custom svg markers + <a href="https://fosstodon.org/tags/pyfonts" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyfonts</span></a> to read in Google font. </p><p>Full code <a href="https://github.com/Lisa-Ho/small-data-projects?tab=readme-ov-file#042025-animal-rescue-incidents" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/Lisa-Ho/small-data-</span><span class="invisible">projects?tab=readme-ov-file#042025-animal-rescue-incidents</span></a></p>
tlohde<p>Seeking recommendations for a <a href="https://fediscience.org/tags/WebMapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WebMapping</span></a> tutorial / course?</p><p>Slightly at sea on where to start.</p><p>- My current JS skill level is _extreme novice_.<br>- I don't have access to ArcGIS.<br>- Comfortable with <a href="https://fediscience.org/tags/QGIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QGIS</span></a> [*] and the <a href="https://fediscience.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fediscience.org/tags/geospatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geospatial</span></a> ecosystem (<a href="https://fediscience.org/tags/geopandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>geopandas</span></a> <a href="https://fediscience.org/tags/xarray" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>xarray</span></a> <a href="https://fediscience.org/tags/rasterio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rasterio</span></a> and plotting with <a href="https://fediscience.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a>)</p><p>Suggestions welcome. TIA. 👍 </p><p>* I have looked at the qgis2web plugin, but having some issues associated with my aged laptop (2012 mbp running Ubuntu) and a 'Wayland session'.</p><p><a href="https://fediscience.org/tags/Leaflet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Leaflet</span></a> <a href="https://fediscience.org/tags/OpenLayers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenLayers</span></a> <a href="https://fediscience.org/tags/MapBox" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MapBox</span></a> <a href="https://fediscience.org/tags/PrototoMaps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PrototoMaps</span></a> <a href="https://fediscience.org/tags/MapLibre" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MapLibre</span></a> <a href="https://fediscience.org/tags/d3js" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>d3js</span></a> <a href="https://fediscience.org/tags/OpenStreetMap" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenStreetMap</span></a> <a href="https://fediscience.org/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GIS</span></a></p>
Lisa Hornung<p>Weekend viz. Marvel money tree showing box office sales by film and series. </p><p>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).</p><p>Data from Information is Beautiful (up until Jun 2023). Visual made 100% in <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fosstodon.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a>. </p><p>Full code here (not pretty though 😁 ) <a href="https://github.com/Lisa-Ho/small-data-projects/blob/main/README.md#032025-marvel-money-tree" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/Lisa-Ho/small-data-</span><span class="invisible">projects/blob/main/README.md#032025-marvel-money-tree</span></a> </p><p><a href="https://fosstodon.org/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://fosstodon.org/tags/creativecoding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>creativecoding</span></a> <a href="https://fosstodon.org/tags/marvel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>marvel</span></a></p>
Alexandre B A Villares 🐍<p>"Plotando estatísticas básicas com <a href="https://ciberlandia.pt/tags/Polars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Polars</span></a> e <a href="https://ciberlandia.pt/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Matplotlib</span></a> - <a href="https://ciberlandia.pt/tags/NLP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NLP</span></a> 04 " <span class="h-card" translate="no"><a href="https://bolha.us/@dunossauro" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>dunossauro</span></a></span> <a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a></p><p><a href="https://www.youtube.com/watch?v=4HpSFIekqDw" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=4HpSFIekqD</span><span class="invisible">w</span></a> </p><p>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.</p><p>Update: inicialmente achei que era uma tradução corrente mas ele me explicou que não.</p>
Jonatan Hildén<p>Only today found out that there’s a built-in function for labeling bars in Matplotlib. </p><p>It's been there since version 3.4. of Matplotlib, out in 2021 🤦<br><a href="https://matplotlib.org/stable/gallery/lines_bars_and_markers/bar_label_demo.html#sphx-glr-gallery-lines-bars-and-markers-bar-label-demo-py" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">matplotlib.org/stable/gallery/</span><span class="invisible">lines_bars_and_markers/bar_label_demo.html#sphx-glr-gallery-lines-bars-and-markers-bar-label-demo-py</span></a><br><a href="https://vis.social/tags/Matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Matplotlib</span></a></p>
Alexandre B A Villares 🐍<p>Did anyone here have trouble with <a href="https://ciberlandia.pt/tags/uv" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>uv</span></a> using a <a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> build that breaks interactive <a href="https://ciberlandia.pt/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> and/or <a href="https://ciberlandia.pt/tags/tkinter" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tkinter</span></a>? I think it might be breaking <a href="https://ciberlandia.pt/tags/FreeSimpleGUI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FreeSimpleGUI</span></a> too :( </p><p><a href="https://github.com/astral-sh/uv/issues/6893" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/astral-sh/uv/issues</span><span class="invisible">/6893</span></a></p><p>Update: Also <a href="https://github.com/astral-sh/python-build-standalone/issues/146" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/astral-sh/python-bu</span><span class="invisible">ild-standalone/issues/146</span></a></p>
Alexandre B A Villares 🐍<p>If you have been using <a href="https://ciberlandia.pt/tags/py5" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>py5</span></a> for a while, this page about <a href="https://ciberlandia.pt/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> 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 <a href="https://ciberlandia.pt/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a>, it shows the beautiful <a href="https://ciberlandia.pt/tags/profiling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>profiling</span></a> tools integrated with py5 and how to use <a href="https://ciberlandia.pt/tags/threading" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>threading</span></a> to improve performance. In the end you also learn about named colors and the clever "Colormap Color Mode" feature.</p><p><a href="https://www.py5coding.org/integrations/matplotlib.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">py5coding.org/integrations/mat</span><span class="invisible">plotlib.html</span></a> <a href="https://ciberlandia.pt/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://ciberlandia.pt/tags/processing4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>processing4</span></a> <a href="https://ciberlandia.pt/tags/profilers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>profilers</span></a> <a href="https://ciberlandia.pt/tags/colormapps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>colormapps</span></a></p>
Lisa Hornung<p>On a mapping run - Bauhaus inspired grid map of europe. Each country is coloured by the first letter of their ISO name. 🟠 🔵 🟡 </p><p>Maybe a little puzzle to figure out the grid I used 😅 </p><p>Initial map made in <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> using <a href="https://fosstodon.org/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a> then refined in Figma. Code: <a href="https://github.com/Lisa-Ho/small-data-projects/tree/main?tab=readme-ov-file#012025-grid-map-of-europe" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/Lisa-Ho/small-data-</span><span class="invisible">projects/tree/main?tab=readme-ov-file#012025-grid-map-of-europe</span></a> </p><p><a href="https://fosstodon.org/tags/Maps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Maps</span></a> <a href="https://fosstodon.org/tags/Dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Dataviz</span></a> <a href="https://fosstodon.org/tags/CreativeCoding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CreativeCoding</span></a></p>
Pavel Korytov :emacs:☮️<p><a href="https://mastodon.bsd.cafe/tags/gnuplot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gnuplot</span></a> is great. I've been feeding the results of <a href="https://mastodon.bsd.cafe/tags/sqlite" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sqlite</span></a> queries into it via org-babel, and it works almost perfectly; the only exception being that I can't use column names in the gnuplot dataset.</p><p>Maybe I'll write a blog post about that... In some moderately distant future.</p><p>It feels much less accessible compared to <a href="https://mastodon.bsd.cafe/tags/matplotlib" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matplotlib</span></a>, but not more so than <a href="https://mastodon.bsd.cafe/tags/emacs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>emacs</span></a>, I guess. And it's great not to carry any dependencies except the gnuplot library, particularly for the Org Mode use case.</p><p>The charts sometimes look like a hello from the 90s, but to me it's a plus that they don't give the "matplotlib on defaults" vibe which is omnipresent in modern science :D</p><p><a href="https://mastodon.bsd.cafe/tags/orgmode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>orgmode</span></a></p>
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