Contents

polars 0.15.9

0

Blazingly fast DataFrame library

Blazingly fast DataFrame library

Stars: 10973, Watchers: 10973, Forks: 571, Open Issues: 320

The pola-rs/polars repo was created 2 years ago and was last updated 2 hours ago.
The project is extremely popular with a mindblowing 10973 github stars!

How to Install polars

You can install polars using pip

pip install polars

or add it to a project with poetry

poetry add polars

Package Details

Author
ritchie46 <[email protected]>
License
MIT
Homepage
https://github.com/pola-rs/polars
PyPi
https://pypi.org/project/polars/
GitHub Repo
https://github.com/pola-rs/polars
No  polars  pypi packages just yet.

Errors

A list of common polars errors.

Code Examples

Here are some polars code examples and snippets.

GitHub Issues

The polars package has 320 open issues on GitHub

  • groupby_dynamic with upsampling window boundary
  • python polars 0.12.17
  • Can't convert df to pandas
  • Unable to read parquet files with list values in columns
  • Melting with categorical id_vars generate str columns
  • Fix weighted rolling functions and centering
  • Support df.info()
  • [NodeJS]: readIPC from buffer fails with 'Arrow file does not contain correct header', while it works in ArrowJS
  • Does Polars support BMS(BusinessMonthBegin) in OHLC
  • Feature req: gRPC client for Node
  • Count in groupby without column
  • Add scan_json method
  • Expanding upon and improving existing benchmarks
  • Will node.js implementation be a first class citizen?
  • Add optional validation output to joins

See more issues on GitHub

Related Packages & Articles

pandas-ta 0.3.14b

An easy to use Python 3 Pandas Extension with 130+ Technical Analysis Indicators. Can be called from a Pandas DataFrame or standalone like TA-Lib. Correlation tested with TA-Lib.

pantsbuild.pants 2.14.0

The ergonomic and hermetic software build system for Python, Java, Scala, Go, and Shell. Pants lets you fearlessly scale up your codebase.

pandera 0.13.4

A light-weight and flexible data validation and testing tool for statistical data objects.

orjson 3.8.3

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

modin 0.18.0

Modin: Make your pandas code run faster by changing one line of code.

gspread-pandas 3.2.2

A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.