siuba
swifter
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| siuba | swifter | |
|---|---|---|
| 25 | 3 | |
| 1,100 | 2,464 | |
| - | - | |
| 7.5 | 5.5 | |
| 7 months ago | about 1 month ago | |
| Python | Python | |
| MIT License | MIT License |
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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
swifter
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Tidyverse equivalent in Python?
With concat, merge, melt, and pivot_table, that may cover everything I have ever needed. There may be more efficient ways at times, but swifter promises to do that for you, maybe it is true.
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[D] A hacky work-around for slow linear algebra operations on pyspark.
Since you already have a working python script, you can try swifter with minimal effort to see if it brings about a significant speedup before digging further.
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What Is The Best Performance Fix You Ever
With few lines of code? Swifter for quicker pandas apply and then there's numba. With concurrent.futures, it'll be a bit more lines of code.
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
modin - Modin: Scale your Pandas workflows by changing a single line of code
dtale - Visualizer for pandas data structures
Dask - Parallel computing with task scheduling
Altair - Declarative statistical visualization library for Python
q - q - Run SQL directly on delimited files and multi-file sqlite databases
pandera - A light-weight, flexible, and expressive statistical data testing library
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
xarray - N-D labeled arrays and datasets in Python
DataFramesMeta.jl - Metaprogramming tools for DataFrames
xgboost_ray - Distributed XGBoost on Ray