Es imposible renderizar emojis a color en #Matplotlib 🤔
En #Rstats puedes expresar las emociones con emojis

Thomas Lin Pedersen ragg #ggplot2 #tidyverse
#psicologia #UCR #python @nobodyinperson

In the Python programming language, several libraries facilitate the creation and visualization of neural networks, with Matplotlib being one of the most popular options[..]

#python #matplotlib #machine #learning #ai

https://www.ml-nn.eu/a1/13.html

Exploring Matplotlib's role in neural network creation

Machine Learning & Neural Networks Blog

Salut, je cherche à amélioré cette vue 3D de données. Mon but ça serait de rassembler les points, les relier en une seule forme. Pour donner l’idée j’ai dessiné sur le graphique.

Pour le faire j’ai utilisé #python et #matplotlib mais si c’est possible avec d’autre outil je suis prenneur aussi.

Comment vous feriez ça ? Quel outil ?
( #boost apprécié :) )
#dataviz #datavisualization #datascience

CIAO wavdetect : X線画像の局所構造をMexican Hat waveletで検出する - Qiita

目次 CIAOのWavdetectとは 実際に検出してみる 実行結果 Wavdetectの原理 CIAOのWavdetect とは wavdetectは、X線画像の中から局所的に明るい構造を探すためのツールとして知られています。以下の画像のように、実際の研究でも使われ...

Qiita

- I really liked the R #marginaleffects package with its data structures and plots, does this have a suitable replacement in Python?
- talking about plots, #matplotlib is still like arcane sorcery to me. Plotting is really worse in Python than in R. For quick exploration I just want hist() and then a plot pops up!
- I'm starting to like #numpy more and more

3/n

The #MatPlotLib maintainer vs vague #OpenClaw bot(?) makes my blood pressure rise.

Why this sort of behaviour specifically?
Because it was about 4 years ago that I started warning technical experts at my job about how the irresponsible release of AI software would soon waste their time.

And now it does and apparently it's seen as the new normal. No.

This is how our brains burn out, we stop caring and will start to feel lonely. People need to stop attacking each other with software that the other party has not consented to.

You can say no to the way people use or implement software that wastes your time and makes you unhappy. If they don't change their behaviour then you'll know that they are happy to remain ignorant. And you can place your boundaries accordingly.

And if you're overwhelmed by AI? Form expert groups, talk to human beings, hell, start meeting up!

https://www.tomshardware.com/tech-industry/artificial-intelligence/rogue-openclaw-ai-agent-wrote-and-published-hit-piece-on-a-python-developer-who-rejected-its-code-disgruntled-bot-accuses-matplotlib-maintainer-of-discrimination-and-hypocrisy-later-backtracks-with-an-apology

Rogue OpenClaw AI wrote and published 'hit piece' on a Python developer who rejected its code — disgruntled bot accuses Matplotlib maintainer of discrimination and hypocrisy, later backtracks with an apology

Another OpenClaw AI agent going rogue, raising serious moral questions

Tom's Hardware
Graphs 2.0 porta nuove funzioni avanzate per grafici scientifici e analisi dati

Graphs 2.0 migliora grafici scientifici, import dati, curve fitting e supporto mobile con tante novità per Linux e GNOME.

Linux Easy

OK matplotlib, I love you, but now you're just messing with me.

When I try to put contours on the polar plot of these data it works if, and only if, the plot is part of a multiplot with at least 2 rows of axes. If I try to plot it by itself, or in a multiplot with only one row, then the contour function draws a spurious line right through it. Nothing else is different, it's exactly the same plotting code running on the same data, the only thing that I changed is the number of axes in the call to subplots().

Welp, guess I'm plotting an extra axes and then editing it out of the resulting image.

#matplotlib #python

I am thinking to do a “heatmap” of the muscles of the human body using #matplotlib. The idea is to have strength workouts point at different muscles and show that dynamically using matplotlib (see image). Maybe nuts not sure yet…

I was thinking to convert the #png to #svg and then with svgpath2mpl parse it to a matplotlib path (not sure yet if I can do more than one path) :

https://petercbsmith.github.io/marker-tutorial.html

Now, is there a better/easier way?

#python #svg #data #dataviz