siuba
DataFramesMeta.jl
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| siuba | DataFramesMeta.jl | |
|---|---|---|
| 25 | 4 | |
| 1,100 | 472 | |
| - | 3.2% | |
| 7.5 | 6.9 | |
| 7 months ago | 10 days ago | |
| Python | Julia | |
| MIT License | GNU General Public License v3.0 or later |
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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
DataFramesMeta.jl
- Pandas vs. Julia – cheat sheet and comparison
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Why not Julia?
A package: https://github.com/JuliaData/DataFramesMeta.jl
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Is there tidyverse/dplyr for Julia?
I'd also heartily recommend DataFramesMeta which provides really nice macros for manipulating dataframes.
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[S] Among R, Python, SQL, and SAS, which language(s) do you prefer to perform data manipulation and merge datasets?
I do get the feeling though that Python people are considered “more sophisticated” as programmers than R. But I think Julia is gaining traction now and it can handle general programming tasks better than R can, while still remaining pretty similar so its worth learning too. It has DataFramesMeta.jl: https://github.com/JuliaData/DataFramesMeta.jl. Works like dplyr.
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
db-benchmark - reproducible benchmark of database-like ops
dtale - Visualizer for pandas data structures
DataFrames.jl - In-memory tabular data in Julia
Altair - Declarative statistical visualization library for Python
DaemonMode.jl - Client-Daemon workflow to run faster scripts in Julia
q - q - Run SQL directly on delimited files and multi-file sqlite databases
TwoBasedIndexing.jl - Two-based indexing
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
FromFile.jl - Julia enhancement proposal (Julep) for implicit per file module in Julia
data.table - R's data.table package extends data.frame:
HTTP.jl - HTTP for Julia