aquarel
matplotlib
| aquarel | matplotlib | |
|---|---|---|
| 2 | 36 | |
| 590 | 19,310 | |
| - | 1.1% | |
| 6.5 | 10.0 | |
| 16 days ago | 2 days ago | |
| Python | Python | |
| MIT License | Python License 2.0 |
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aquarel
- I got tired of handcrafting matplotlib styles everytime, so I made a small library to make it much simpler to define themes and load existing ones.
- I got tired of handcrafting matplotlib styles everytime, so I made a small library to programmatically create reusable, flexible, and shareable JSON-based themes. Feedback and pull requests welcome!
matplotlib
- How and where is matplotlib package making use of PySide?
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/matplotlib/matplotlib
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Tkinter, PyGame windows too large on Mac
as suggested here.
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[OC] Attempted & Completed Suicide Rate in Canada, 1998/99
Tool: Matplotlib Pyplot
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Help unpickling an old dataset
The issue was described here: https://github.com/matplotlib/matplotlib/issues/8409, but the "solution" was just "this is fixed" which was not helpful to me.
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The Python Packages That Gave Me Nightmares: A Guide to Overcoming Common Challenges
Matplotlib: Matplotlib is a 2D plotting library that allows you to create visualizations of your data. It's a powerful tool for data analysis, but the syntax can be complex and the customization options can be overwhelming. GitHub - https://github.com/matplotlib/matplotlib
- pcolormesh very slow when using "log" axes
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Question: What is matplotlib short for?
A quick google shows: this history.txt:
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Linear Regression
Let's take a small subset i.e 20 data points of our prediction and compare it with actual output using matplotlib library
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Where to find a dynamic charge density animation/simulation?
I will think more about what I want to say next, but for now, I would like to say that I need the super-particles and PIC methods as I think that is the way forward for me. Are there ways to implement these methods in matplotlib, Visit or Paraview? Do I take existing code and import it into those programs to visualize it? Or can I directly program/simulate something in those visualizion tools without needing to import any code?
What are some alternatives?
mplcyberpunk - "Cyberpunk style" for matplotlib plots
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
base24 - Base24/ Base16 can be used to easily generate your favourite theme for your favourite application. Many of the template repositories provide theme files that you can copy/ import into said application.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
pygal - PYthon svg GrAph plotting Library
bqplot - Plotting library for IPython/Jupyter notebooks
bokeh - Interactive Data Visualization in the browser, from Python
plotnine - A Grammar of Graphics for Python
VisPy - Main repository for Vispy
Graphviz - Simple Python interface for Graphviz
ggplot - ggplot port for python
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]