pyecharts
matplotlib
| pyecharts | matplotlib | |
|---|---|---|
| 2 | 36 | |
| 14,460 | 19,310 | |
| 0.7% | 1.1% | |
| 6.6 | 10.0 | |
| about 1 month ago | 2 days ago | |
| Python | Python | |
| MIT License | Python License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyecharts
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/pyecharts/pyecharts
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Free Price Comparison Tool For Craft Beers
In case you're wondering, the UI is built using pywebio while the charts are made using pyecharts. (As you can tell Frontend isn't my strongest suit).
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?
PyWebIO - Write interactive web app in script way.
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Flask - The Python micro framework for building web applications.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
pygal - PYthon svg GrAph plotting Library
Django - The Web framework for perfectionists with deadlines.
bqplot - Plotting library for IPython/Jupyter notebooks
TheAlgorithms - All Algorithms implemented in Python
bokeh - Interactive Data Visualization in the browser, from Python
thefuck - Magnificent app which corrects your previous console command.
plotnine - A Grammar of Graphics for Python