scientific-visualization-book
Altair
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| scientific-visualization-book | Altair | |
|---|---|---|
| 17 | 42 | |
| 10,017 | 8,873 | |
| - | 0.9% | |
| 3.6 | 9.0 | |
| 3 months ago | 7 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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scientific-visualization-book
- Book or web book recommendation request: a data visualization cookbook using Python for scientists.
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What's New in Matplotlib 3.6.0
I had the same problem until I found this tutorial:
https://github.com/rougier/matplotlib-tutorial
If you wan something deeper the same person has written a book:
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Ask HN: What is the best book on data visualization in 2021?
For python this open access book is excellent: https://github.com/rougier/scientific-visualization-book
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Open access book on scientific visualization using Python and matplotlib
This book is distributed under a non commercial license (CC-BY-NC-SA 4.0) [0].
While I understand that language is evolving and that only under a "strict definition" of open access does it mean removing barriers to copying and reuse [1], it's seems pretty duplicitous to say it's "open" while putting it under a non-commercial license.
[0] https://github.com/rougier/scientific-visualization-book/blo...
[1] https://en.wikipedia.org/w/index.php?title=Open_access&oldid...
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Scikit-Learn Version 1.0
Speaking of what's possible in matplotlib, I am very much looking forward to reading this book: https://github.com/rougier/scientific-visualization-book
Altair
- FLaNK AI Weekly 18 March 2024
- FLaNK AI for 11 March 2024
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Vega-Altair: Declarative Visualization in Python
Feel free to open an issue to let us know which parts of the documentation you find obscure and if you have suggestions for how to improve them. We did a larger overhaul a few months back and are always open to feedback on how to improve it further! https://altair-viz.github.io/
(disclaimer: I'm a co-maintainer of Altair)
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Gnuplotlib: Non-Painful Plotting for NumPy
Vega-Altair is pretty great as well. It uses a grammar of graphics that’s slightly different from ggplot, but has most of the same advantages.
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Altair - Declarative statistical visualization library for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: Altair
- What python library you are using for interactive visualisation?(other than plotly)
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
Yeah, that's one of the main reasons I like altair. It has 10M downloads per month and the newest Git update is from two days ago.
- Data Visualization: Choropleth maps with ggplot and R
- What new Python features are the most useful for you?
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
bokeh - Interactive Data Visualization in the browser, from Python
seaborn - Statistical data visualization in Python
ggplot - ggplot port for python
plotnine - A Grammar of Graphics for Python
matplotlib - matplotlib: plotting with Python
folium - Python Data. Leaflet.js Maps.
Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
ggplot2 - An implementation of the Grammar of Graphics in R
bqplot - Plotting library for IPython/Jupyter notebooks
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
vincent