plotnine
diagrams
plotnine | diagrams | |
---|---|---|
36 | 110 | |
3,828 | 34,946 | |
- | - | |
9.6 | 6.2 | |
8 days ago | 18 days ago | |
Python | Python | |
MIT License | MIT License |
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plotnine
- FLaNK AI Weekly 18 March 2024
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A look at the Mojo language for bioinformatics
To your last point, have you tried plotnine? It's meant to be ggplot2 for python.
https://github.com/has2k1/plotnine
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
plotnine - A grammar of graphics for Python based on ggplot2.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/has2k1/plotnine
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Lets-Plot: An open-source plotting library by JetBrains
This seems quite similar to plotnine [0], which also provides a grammar of graphics interface for Python. That said, I love ggplot and I can't wait to use this in my research! I hope we can port/re-implement ggthemes, scientificplots [1], and other ggplot libraries for lets-plot.
0: https://plotnine.readthedocs.io/en/stable/
1: https://github.com/garrettj403/SciencePlots
- When would you use R instead of Python?
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[P] Easily make complex plots using ChatGPT [open source]
There is [plotnine](https://plotnine.readthedocs.io/en/stable/) which tries to implement ggplot in Python.
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Is R or Python an EASIER option for non-CS/SE grads?
You could use plotnine if you like the grammar of graphics concept: https://plotnine.readthedocs.io/en/stable/
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Every modeler is supposed to be a great Python programmer
> Python doesn’t yet have anything remotely close to ggplot for rapidly making exploratory graphics, for example.
Plug for plotnine (https://plotnine.readthedocs.io/en/stable/). I don't know R but use ggplot indirectly through this library for exploratory data analysis, and comparing the experience to any other python plotting library, I understand why R folks are usually so sad to be using Python.
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Why has nobody ported ggplot to Python?
They have, https://plotnine.readthedocs.io/en/stable/
diagrams
- Diagrams as Code
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
diagrams - Diagram as Code.
- How to draw beautiful software architecture diagrams
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Top 9 Architecture diagram software for cloud infrastructure
Mingrammer is an intriguing tool for individuals who prefer coding diagrams rather than creating them through graphical interfaces. It operates using Python code and offers a relatively quick setup process. It is compatible with AWS, Azure, GCP, Alibaba, and Oracle. Notably, the project is open source and has garnered significant attention on GitHub with over 31K stars.
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Pravljenje AWS strukturnog diagrama
Ja sam koristio ovo: https://diagrams.mingrammer.com/
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Dynamically generate Cloud System Architecture diagram
That’s another option: https://diagrams.mingrammer.com Guessing with IaC done with Pulumi (Python) and this, it could pretty powerful and automatically generated.
- [Golang] Diagrammes comme code avec Go?
- Network diagram Tool
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Top 7 diagrams as code tools for software architecture
Diagrams allow you to draw cloud system architectures using Python code.
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Do you like to draw while explaining stuff?
I use excalidraw a lot for short conversations. If I have to go into major detail I use diagrams https://diagrams.mingrammer.com
What are some alternatives?
seaborn - Statistical data visualization in Python
c4-draw.io - Draw.io template/diagram containing C4 Model shapes. Drawio Diagrams.net
matplotlib - matplotlib: plotting with Python
Graphviz - Simple Python interface for Graphviz
Altair - Declarative statistical visualization library for Python
obsidian-excalidraw-plugin - A plugin to edit and view Excalidraw drawings in Obsidian
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
excalidraw - Virtual whiteboard for sketching hand-drawn like diagrams
ggplot - ggplot port for python
pygraphviz - Python interface to Graphviz graph drawing package
bokeh - Interactive Data Visualization in the browser, from Python
vscode-drawio - This unofficial extension integrates Draw.io (also known as diagrams.net) into VS Code.