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

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?

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'.

Mastodon.social alt text analysis report!

Me and my friend Cristal just published a report on image description usage on mastodon.social, as a group project for the Introduction to Data Science course of the Artificial Intelligence and Sustainable Societies Erasmus Mundus Joint Master program.

Thoughts and feedback are welcome

A huge thanks to @stefan for publishing the dataset on which we based our analysis!

NOTE: We are absolutely aware that the report has very little actual relevance, as the dataset contains a super limited amount of posts from one instance only. It was mainly an experimentation to test our data analysis skills.

I don’t have Spotify, but I use Strava. So I created my personal Year in Sports Wrapped

Got Strava and want your own? No problem, I turned it into an app https://year-in-sports.streamlit.app/

Step 1: Download your data from Strava. Follow their guide on how to do it: https://support.strava.com/hc/en-us/articles/216918437-Exporting-your-Data-and-Bulk-Export

Step 2: Upload your csv file, chose a year and create your visual.

App made in #python using #streamlit, #matplotlib, #pyfonts, and a few more libraries.

Full code: https://github.com/Lisa-Ho/year-in-sports

Croissant Distribution

or, where am I most likely to have my next croissant, assuming (something something) independence from my previous croissant. ^k * e^(-) / k!
--
2d kernel density estimation of the location of bakeries (blue) and farms (red) across France.

Locations taken from OpenStreetMap (considered paying attention to the size of the farm, but didn't), with #osmnx & plotted with #matplotlib & #seaborn. font: Borel, by Rosalie Wagner.

#30DayMapChallenge Day 2: Lines

#python #matplotlib
List of named colors — Matplotlib 3.9.2 documentation https://matplotlib.org/stable/gallery/color/named_colors.html

#python #matplotlib
Younes Lab - "Making Animations in Python using Matplotlib!" https://youtube.com/watch?v=nT16-yQrnFk&si=Xd1yXPEHHqudTQJn

I finally created the last visualization, so I have all 100 done!

Not all of them are exactly the same, I will work on that as I create the video tutorials.

Hope it will be as useful to someone as it was to me :)

#matplotlib #python #dataviz #data #datascience

https://curbal.com/1-dataset-100-matplotlib-visualizations

I have a #Jupyter notebook with interactive widgets that worked a few years ago, and now complains "No artists with labels found to put in legend." I am a #matplotlib newb and don't know what I'm doing wrong. The last cell has the error: https://github.com/nedbat/broken-notebook/blob/main/Simplifed_Retirement.ipynb

One of my most proud of plot. Geeky, chuck-full of data, and _nice_ .

https://forums.adafruit.com/viewtopic.php?p=903215#p903215

The two small vertical lines at the base correspond to the clock jitter width I measured with a Feather M0 which uses XOSC32K since there's a crystal on the board (the jitter is then as small as ± 0.02 ms).

#matplotlib #SAMD21 #microcontrollers #electronic #atomicsynchronator

Matplotlib is easy. Too easy.

https://slott56.github.io/2023_12_12-understanding_the_abstraction.html

The real win was rejecting my assumptions and understanding how it works.

Drawing spirals, I think my favorite is when the spirals meet and the Moire patterns when they overlap #python #matplotlib #generativeart with special thanks to the Nord color theme which I'm using https://www.nordtheme.com/

In #py5 #matplotlib color names can be used as string constants if matplotlib is installed. #Processing #Python

I am presenting this poster at BNA2023, Brighton. It highlights some findings from preliminary work on how sensory processing slows down with age.

Using biologically-plausible models of the cortex on a large (N=632) neuroimaging dataset, this line of research work attempts to zoom in and dissect possible mechanisms of age-related slowing.

Grab a pdf here: https://cloud.pranaysy.com/s/bnaposter

Some #FavoriteTools

#Vim for #TextEditing

#Firefox w/ #Tridactyl #uBlockOrigin

#Raindrop for #Tagging and #Bookmarking web pages

#Inoreader #RSS reader

#Pandoc for document creation/conversion

#Ubuntu (even if it's under Windows)

#Python w/ #Jupyter #Pandas #Matplotlib #numpy #scipy #plac

#TheBrain for #KnowledgeManagement

#MoonReader for ebooks and PDFs

#RolandFP90 and A-88 for #piano

#transcribe for working through #music #video

#Leatherman #SkeletoolCX for when my fingers need help

Hi all! I'm Thomas Caswell and I work on OSS.

Trained as a physicist, but these days I work as an #RSE supporting scientists working in #python.

I am the current Project Lead of #Matplotlib , a core dev of #h5py and a PSF Fellow.

I'm based in NYC and work at BNL at NSLS-II where I help build data acquisition, management, and analysis tools for experimental scientists.

#introduction: I'm a software developer and occasional data scientist living in #Helsinki. Favourite technologies include #python, #matplotlib (I started the PDF backend way back), #go, #clojure. Currently employed as a consultant at Reaktor. I coach #math olympiad contestants and am trying to learn #taichi.

I am single-sided deaf because of an acoustic neuroma, so I'm not very good company at cafes or parties or on the phone, and get tired easily when talking to people.

Just released version 0.4 of mpl-chord-diagrams with support for directed chords

https://codeberg.org/tfardet/mpl_chord_diagram

https://zenodo.org/record/6583471

If you're looking for a simple library in #Python to make #chordDiagrams with #matplotlib, then this is for you!

You can simply install it via pip.