siuba
patchworklib
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| siuba | patchworklib | |
|---|---|---|
| 25 | 5 | |
| 1,100 | 339 | |
| - | - | |
| 7.5 | 6.9 | |
| 7 months ago | 4 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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siuba
- The Design Philosophy of Great Tables (Software Package)
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Best alternative to Pandas 2023?
I don't know what's best for you, but I can recommend Siuba, a tidy interface for Python to send queries to pandas and SQL-db.
- Method Chaining in Pandas: Bad Form or a Recipe for Success?
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Happy Halloween, Pandas! 🎃🤓
You mean siuba?
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Explorer (Elixir and Polars)
For further inspiration, this is a pretty good-looking "dplyr for Python": https://github.com/machow/siuba
- Unpopular opinion: Matplotlib is a bad library
- A trick to have arbitrary infix operators in Python
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Going from R to Pandas: dplython vs dfply vs plydata
You should follow /u/the75th's advice. However, if you decide to buck that take, I'd look into siuba. I've never heard of those packages you've listed, and have doubts they'd be maintained.
- Tidyverse equivalent in Python?
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R / Tidyverse User -> Python | How to Make it Hurt Less
Check out siuba
patchworklib
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Python packages to prepare publication-quality figures.
patchworklib: https://github.com/ponnhide/patchworklib
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Patchworklib: A simple matplotlib based interface for preparing a multi-panel figure for publication
GitHub: https://github.com/ponnhide/patchworklib Example demonstration: https://colab.research.google.com/drive/1TVcH3IJy6geDXVJDfOKCPFPsP2GzjxHu?usp=sharing
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Unpopular opinion: Matplotlib is a bad library
I think plotnine is one solution. It is implemented based on matplotlib, but it provides an almost complete ggplot syntax for matplotlib. The other solution is a next-generation seaborn interface. It is also `build on matplotlib and still in progress; however, the API would be really useful! And I have personally also developed a few libraries to solve the complex syntax of matplotlib. As an example, patchworkllib allows dynamic subplot layout on Jupyter-lab. Maybe the library can support handling matplotlib and seaborn plots.
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Dynamic subplot layout on Jupyter-lab
I would like to introduce patchworklib, which allows dynamic subplot layout on Jupyter-lab/notebook.
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Pathcworklib: A subplot manager for intuitive layout in matplotlib
patchworklib
What are some alternatives?
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
plotnine - A Grammar of Graphics for Python
dtale - Visualizer for pandas data structures
patchwork - The Composer of ggplots
Altair - Declarative statistical visualization library for Python
K3D-jupyter - K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
q - q - Run SQL directly on delimited files and multi-file sqlite databases
pyCircos - python Circos
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
DataFramesMeta.jl - Metaprogramming tools for DataFrames
data.table - R's data.table package extends data.frame: