siuba
K3D-jupyter
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siuba | K3D-jupyter | |
---|---|---|
25 | 1 | |
1,100 | 905 | |
- | 2.0% | |
7.5 | 7.1 | |
7 months ago | 4 months ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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
K3D-jupyter
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Unpopular opinion: Matplotlib is a bad library
Yes, 3D performance is crap. That's because MPL is a 2D library. If you want 3d, use a 3d API. I quite like https://github.com/K3D-tools/K3D-jupyter . As far as 2d plotting goes, MPL performance is actually rather good. Anti-aliased 2d rendering is more-or-less impossible to hardware accelerate (many people have tried).
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
bokeh - Interactive Data Visualization in the browser, from Python
dtale - Visualizer for pandas data structures
patchworklib - Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.
Altair - Declarative statistical visualization library for Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
q - q - Run SQL directly on delimited files and multi-file sqlite databases
mplsel - A Matplotlib utility class to enable easier selection, interaction, modification and duplication of Line2D-based plots
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
DataFramesMeta.jl - Metaprogramming tools for DataFrames
data.table - R's data.table package extends data.frame:
sspipe - Simple Smart Pipe: python productivity-tool for rapid data manipulation