Lmst

Eine schöne Visualisierung von Pawel Jastrzebski für #matplotlib

https://medium.com/@pawjast
https://medium.com/@pawjast/all-the-ways-to-create-new-figure-and-axes-in-matplotlib-13079af64bc0

$Making Matplotlib Plot Implicit Explicit figure and axes . \ fi = = created for you gare fig = plt.figure() ax = fig.add_subplot() + pLt. plot) ax = fig.add_axes() methods plt.bar() plt.hist() ax_1 = ax.inset_axes() plt.pie() xe ax_1 = ax.twinx() . ax plt.fill_between() ax_1 = ax.twiny() methods plt. stan) ax_1 = ax.secondary_xaxis() ax_1 = ax.secondary_yaxis() ... and many more! Explicit - convenience figure and axes created in a single call fig, axs = plt.subplots() fig, axs = plt.subplot_mosaic()$

Gráfico de imagen con histograma en la parte superior

#Matplotlib #Python
Analizar la distribución de características en mapas de calor #ML #AprendizajeAutomatico
#Anzoategui #Lecheria

Crear una leyenda con un histograma

#Python #Matplotlib #Gauss #Histograma
#softwarelibre #Anzoategui #Lecheria

This Python snippet shows how to draw a chessboard using NumPy and Matplotlib. The code creates an 8x8 matrix with alternating 0 and 1 values to represent black and white squares, then visualizes it using imshow. It demonstrates how simple array operations can generate patterns and how Matplotlib can convert data into visual output, which is useful for data visualization, simulations, and computer vision experiments.
#Python #NumPy #Matplotlib #Coding #DataScience #PythonProgramming

Animación de los voxels

#Movimiento #3D #Python #matplotlib
#SoftwareLibre software libre

Usar voxels para plot multidimensionales

#matplotlib #3D #Python
Colores Newton
Pensar en N dimensiones
#Anzoategui #Lecheria
#SoftwareLibre

Hello scientists of the world, #Python needs you! ;-) Vote for your favorite programming language and the #ITWorldCup now. And spread the word. Every vote counts (and every minute, too). Thank you!

https://hachyderm.io/@itworldcup/115960578331633434

#DataViz #DataVisualisation #Panda #NumPy #mathematics #Mathematik #GeoPlotLib #MatPlotLib #SeaBorn #SciComm #DataVizualisation #Visualisierung #Science #scientists

¿Cuál es la temperatura óptima para trotar suavemente?

Zonas optima hasta zona de peligro

#Temperatura #Biologia #Evolucion
#SoftwareLibre software libre
#Matplotlib
#Anzoategui #Lecheria

Ahh #sunday, time for mass consumptions of #caffeine and working on some just for fun #code over breakfast. If you are into #python or #tk what is your favorite #plotting library? #matplotlib?

did you know that the #DWD has public access to all the #Wetter data?
https://opendata.dwd.de/climate_environment/CDC/observations_germany/

I was able to pull a dataset from my local weather station and generate a simple 3d plot wit #pandas #numpy and #matplotlib to show the number of days in a year for a given temperature bin.
This is really helpful to find the sweet spot for a new #warmepumpe installation

I'm doing a review of basic #algebra, and was looking for something in #python #matplotlib to plot intervals on the number line. Didn't find anything, so I wrote this.

https://chesterjankowski.com/blog/plotting-intervals-on-the-number-line/

Convertir una curva polinómica en N segmentos

#Numpy #python #Matplotlib
#SoftwareLibre #Flisol
Software Libre

Left to do is dynamically adding the tick labels to the chart.

I know it is possible but my brain refuses yo make it work. A tomorrow’s problem.

Anyhow, here it is:

https://www.curbal.world/mpl/matplotlib-gallery/52

Ternary plots make my brain hurt.

Only 6 left to do of the 100.
#python #matplotlib #dataviz #datavis

A ternary chart displaying values for Denmark (DK), Sweden (SE), and Norway (NO) with numeric indicators from years '04 and '22. Each section is colored, representing different data points, with specific values labeled.

Визуализация на Python за 15 минут: пошаговый гайд по Seaborn для начинающих

Matplotlib — это мощно, но часто «многословно». Чтобы превратить стандартный график в нечто презентабельное, приходится писать десятки строк настройки осей и легенд. В этой статье я собрал практическую шпаргалку (Cookbook) по библиотеке Seaborn. Разберем, как одной строкой строить красивые Heatmap, Boxplot и Pairplot. Минимум теории, максимум готовых рецептов (copy-paste), которые покроют 90% задач аналитика.

https://habr.com/ru/articles/984144/

#seaborn #python3 #визуализация_данных #data_science #matplotlib #анализ_данных

New #py5 release! One last release before the end of the year.

This release adds to py5's integrations with #trimesh and #matplotlib. The ideas behind these improvements came from #pythonbrasil last October. Thank you for everyone who attended the tutorial @villares and I taught!

In addition, there are some small bug fixes and other small improvements in this release.

Read the blog post to learn more:

https://ixora.io/blog/new-release-0108a4/

I created an actual "release" today, for my Xiaolong Dictionary language learning tool [1].

I wonder however, why the GNU/Linux built is bigger. Maybe 'cause I ran another command making the executable. Makefile target:

pyinstaller --clean --onefile --noconsole --add-data "$(TCL_LIBRARY):tcl8.6" --add-data "$(TK_LIBRARY):tk8.6" "$(MODULE)")

While on Windows I have no idea how to do that.

[1]: https://codeberg.org/ZelphirKaltstahl/xiaolong-dictionary/releases

#python #tkinter #matplotlib #pillow #pyinstaller #executable

After a lot of trying things, I got some statistics into my language learning tool [1].

The configuration file allows one to specify other searches to visualize other subsets of words.

[1]: https://codeberg.org/ZelphirKaltstahl/xiaolong-dictionary

#statistics #dataviz #python #matplotlib #computerprogramming #coding #tkinter

A screenshot of a window of my app Xiaolong Dictionary, showing language learning progress statistics and diagrams.

Totally normal #Python upstream attitude:

1. Ignore a reply on a bug report for 3+ years.
2. Install a #StaleBot in the middle of the night.
3. 7 minutes after the bug is marked stale, claim that you "never heard back on this" and that "the issue was somewhere downstream", without even checking another linked issue.

https://github.com/matplotlib/matplotlib/issues/23384#issuecomment-3652630086

#Matplotlib