#matplotlib — Public Fediverse posts

Теорема Миттаг-Леффлера: главная теорема всего комплексного анализа

Возьмите функцию на комплексной плоскости, у которой производная существует всюду, кроме отдельных изолированных точек. Что необходимо о ней знать, чтобы восстановить её целиком? Ответ поразительный: достаточно списка точек, где функция не дифференцируема, и «силы» каждой поломки. Формулу написал шведский математик Гёста Миттаг-Леффлер, и она — одна из самых красивых в комплексном анализе. В статье далее — электростатика на комплексной плоскости, спины у классических мультиполей, контрчлены как в квантовой теории поля, вывод в две строчки, самая дорогая ошибка Пуанкаре и разбор легенды о том, почему не бывает Нобелевской премии по математике. И картинки на matplotlib, разумеется, — с кодом. Статья для тех, кто хочет по-настоящему понять суть основ комплексного анализа!

https://habr.com/ru/articles/1068102/

#комплексный_анализ #ТФКП #теорема_МиттагЛеффлера #вычеты #электростатика #базельская_задача #matplotlib #история_математики

I made a thing.

It's been on the "to make" list for a while. And it has been "nearly done" for a while, too.

I'm quite fond of tin-can pinhole cameras for capturing the sun's path over several months. But I'm also impatient. So I wrote some wobbly code to make some synthetic solarigraphs...

a small🧵

https://tlohde.com/blog/2026/08/six-months-in-a-can/
#solarigraph #dataviz #LookWhatIMade #blog #python #matplotlib #astrophotography #sun #pinhole #pinholeCamera #solarigraphy #solarigrafie (1/5)

Patterns from sin(sin(y)*x) + sin(sin(x)*y) inspired by https://mastodon.gamedev.place/@conchoid/116902524539894197
thanks to @rzeta0 for boosting it so I saw it :))

The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_08_02 #Processing #Python #py5 #CreativeCoding #numpy #matplotlib #viridis

Patterns from sin(sin(y)*x) + sin(sin(x)*y) inspired by https://mastodon.gamedev.place/@conchoid/116902524539894197
thanks to @rzeta0 for boosting it so I saw it :))

The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_08_02 #Processing #Python #py5 #CreativeCoding #numpy #matplotlib #viridis

#shapely #matplotlib #plasma
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_07_29 #Processing #Python #py5 #CreativeCoding

#shapely #matplotlib #plasma
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_07_29 #Processing #Python #py5 #CreativeCoding

New in #matplotlib:

- grouped bar charts
- more accessible color cycles
- better font rendering
- alpha blending
- dynamic data

- Kyle Sunden at #SciPy2026

#plasma #matplotlib #bitwise #algorithmicArt
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_07_10 #Processing #Python #py5 #CreativeCoding

#plasma #matplotlib #bitwise #algorithmicArt
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_07_10 #Processing #Python #py5 #CreativeCoding

@VogueLaGalere This is so much more comfortable than a few years ago. I remember measuring the height map on my #Ender3. I purchased a cheap digital dial gauge, decoded its data stream and used an #arduino for the data acquisition. I had a #python script generating G-Code for the toolhead movement and data collection. I used #matplotlib to create the heightmaps.

It was tedious and unreliable, but I learned a lot. I came up with some pretty neat plots though...

AI With Python 2026 (Part 6)

Numbers tell you what happened. Charts help you understand why.

Learn how to use Matplotlib to visualize data, uncover patterns, and prepare datasets for AI.

Read: https://abkarikari23.tech/ai-with-python-2026-part-6-data-visualization-with-matplotlib-turning-numbers-into-stories-419d4552f4d7

#AI #Python #Matplotlib #DataVisualization #DataScience #MachineLearning #AIWithPython2026

AI With Python 2026 (Part 6)

Numbers tell you what happened. Charts help you understand why.

Learn how to use Matplotlib to visualize data, uncover patterns, and prepare datasets for AI.

Read: https://abkarikari23.tech/ai-with-python-2026-part-6-data-visualization-with-matplotlib-turning-numbers-into-stories-419d4552f4d7

#AI #Python #Matplotlib #DataVisualization #DataScience #MachineLearning #AIWithPython2026

Turns out, this is not very complicated.
One can easily use `matplotlib.scale.SymmetricalLogTransform()`
https://gist.github.com/jzdm/5f8605a3c0d3a7c18f0d0f5c8dae7250

#NumPy #matplotlib #Python #symlog

Is there a #NumPy logspace-like function but for a symlog distribution? Or is it possible to utilize the #matplotlib SymmetricalLogScale somehow to return an evenly distributed array in symlog-space?
#Python #symlog

I finally managed to color countries in my map for the refraction horizontal #sundial
Round map with hour lines, to be placed under 5cm acrylic glass.
The flower's shadow tells solar time and the place where the Sun is overhead. Here off the coast of west Africa, heading to Cuba.
Layout made with a #Python script using #matplotlib and #geopandas

#astronomy #sundial #science #education #maps

I finally managed to color countries in my map for the refraction horizontal #sundial
Round map with hour lines, to be placed under 5cm acrylic glass.
The flower's shadow tells solar time and the place where the Sun is overhead. Here off the coast of west Africa, heading to Cuba.
Layout made with a #Python script using #matplotlib and #geopandas

#astronomy #sundial #science #education #maps

I posted a new #Python tutorial about #Matplotlib subplots that runs in your browser with no installation required.

https://donkirkby.github.io/live-py-plugin/demo/matplotlib/multiplot.html

It was contributed by one of the participants in my sprint at the #PyCascades conference, and it's based on work by @rougier .

I posted a new #Python tutorial about #Matplotlib subplots that runs in your browser with no installation required.

https://donkirkby.github.io/live-py-plugin/demo/matplotlib/multiplot.html

It was contributed by one of the participants in my sprint at the #PyCascades conference, and it's based on work by @rougier .

@GhostOnTheHalfShell @economics_that_works I'm curious - why #blender instead of, for instance, #matplotlib or similar?

I've never seen or heard of anyone using blender to plot data before.

@GhostOnTheHalfShell @economics_that_works I'm curious - why #blender instead of, for instance, #matplotlib or similar?

I've never seen or heard of anyone using blender to plot data before.

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

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

When AI Crosses the Line: The Matplotlib Incident

https://members.sigmazero.cc/posts/when-ai-crosses-159174096?postId=when-ai-crosses-159174096

#HackerNews #AI #Ethics #AI #Incident #Data #Visualization #Matplotlib #Technology #News

When AI Crosses the Line: The Matplotlib Incident

https://members.sigmazero.cc/posts/when-ai-crosses-159174096?postId=when-ai-crosses-159174096

#HackerNews #AI #Ethics #AI #Incident #Data #Visualization #Matplotlib #Technology #News

Salut, je cherche à améliorer cette vue 3D de données. Mon but est de rassembler les points et de 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

Salut, je cherche à améliorer cette vue 3D de données. Mon but est de rassembler les points et de 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
https://qiita.com/ken_aizawa/items/e5875d5a789eef240e5e?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #matplotlib #ds9 #CIAO

- 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

- 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

Graphs 2.0 migliora grafici scientifici, import dati, curve fitting e supporto mobile con tante novità per Linux e GNOME. #opensource #Linux #GNOME #Graphs #DataScience #Flatpak #Matplotlib #FOSS

https://www.linuxeasy.org/graphs-2-0-funzioni-avanzate-grafici-scientifici-analisi-dati/?utm_source=mastodon&utm_medium=jetpack_social

Graphs 2.0 migliora grafici scientifici, import dati, curve fitting e supporto mobile con tante novità per Linux e GNOME. #opensource #Linux #GNOME #Graphs #DataScience #Flatpak #Matplotlib #FOSS

https://www.linuxeasy.org/graphs-2-0-funzioni-avanzate-grafici-scientifici-analisi-dati/?utm_source=mastodon&utm_medium=jetpack_social

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

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

#shapely #matplotlib #viridis
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_05_02 #Processing #Python #py5 #CreativeCoding

#shapely #matplotlib #viridis
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_05_02 #Processing #Python #py5 #CreativeCoding

#shapely #matplotlib #viridis
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_04_30 #Processing #Python #py5 #CreativeCoding

#shapely #matplotlib #viridis
The sketch-a-day archives and tip jar are at: https://abav.lugaralgum.com/sketch-a-day Code for this: https://github.com/villares/sketch-a-day/tree/main/2026/sketch_2026_04_30 #Processing #Python #py5 #CreativeCoding

It has been nearly two weeks since the World Chess Championship challengers were determined at the Candidates tournament in Cyprus. But what path did 🇮🇳 Vaishali Rameshbabu and 🇺🇿 Javokhir Sindarov take on their path to qualifying?

🇳🇱 Anish Giri's second place score in the open (+3) would have been enough to win the event in the women's section.

#Chess #FIDE #FIDECandidates #CandidatesTournament #Cyprus #graph #graphs #matplotlib

Matplotlib для самых маленьких: от пустого окна до красивого графика

Каждый, кто начинал визуализировать данные на Python, сталкивался с этим: берешь кусок кода со StackOverflow, пытаешься подвинуть легенду или добавить вторую ось, и внезапно весь график ломается. А главное — почему одни пишут plt.plot(), а другие ax.plot()? Какой синтаксис правильный? В этом туториале мы не просто нарисуем пару линий. Мы заглянем под капот Matplotlib и разберем «анатомию» графиков на простых примерах. Вы поймете разницу между процедурным и объектно-ориентированным подходом, научитесь кастомизировать основные типы визуализаций и навсегда избавитесь от ошибки «белого квадрата» при сохранении файлов.

https://habr.com/ru/articles/1028868/

#matplotlib #python #python3 #python_для_начинающих #python_3 #визуализация #графики

#Día22 | Series de Tiempo – Nueva Herramienta | #30DayChartChallenge | Precio histórico del aceite de palma. Creada usando #Python con #io, #pandas, #numpy y #matplotlib

Just practicing some dataviz skills...

Oil prices vs Trump quotes over the past few months.

#USPol #Matplotlib

Matplotlib

It's important to learn to use libraries properly

Use local docs or use online docs , elevate your programming skills
Ever since I learned of the existence of matplotlib I knew I had another nice task set to have fun programming & keep me busy for a nice while

src.py

import matplotlib.pyplot as plt
import numpy as np

plt.style.use('_mpl-gallery')

# make data
x = np.linspace(0, 10, 100)
y = 4 + 1 * np.sin(2 * x)
x2 = np.linspace(0, 10, 25)
y2 = 4 + 1 * np.sin(2 * x2)

# plot
fig, ax = plt.subplots()

ax.plot(x2, y2 + 2.5, 'x', markeredgewidth=2)
ax.plot(x, y, linewidth=2.0)
ax.plot(x2, y2 - 2.5, 'o-', linewidth=2)

ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
       ylim=(0, 8), yticks=np.arange(1, 8))

plt.show()

A gorgeous mathematical function is plotted when you run the program. I don't want to make screencaps now, use the link to see the output I got.
I use the featherweight geany on the SBC Pi5, you choose which IDE you like.
Yes vim is a superb source code editor. The syntax highlighting is sublime!

Sources

https://matplotlib.org/stable/plot_types/index.html

https://matplotlib.org/stable/plot_types/basic/plot.html

https://geany.org/

#python #programming #python #libraries #matplotlib #API #mathematics #SBC #Pi5 #arm #arm64 #x86 #Linux #OpenSource

New blog post: I Used NumPy to Plan for My Home Renovations

https://plbrault.com/blog-posts/i-used-numpy-to-plan-for-my-home-renovations/

#python #numpy #matplotlib

💥 Ars Technica Fires Reporter After AI Controversy Involving Fabricated Quotes

https://bsky.app/profile/did:plc:v5u3yomwf7prargedwuq3b34/post/3mewgow6ch22p?ref_src=embed&ref_url=https%253A%252F%252Ffuturism.com%252Fartificial-intelligence%252Fars-technica-fires-reporter-ai-quotes

#ai #aislop #Matplotlib #opensource