What is the best way to read a pin from Posit Connect directly into polars?
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- Dominant language
- Python
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Description
What is the best way to read a pin from Posit Connect directly into polars?
I have found a few options that work, but none of them are exactly what I am looking for.
(1) Use pin_download
This method is my favourite, but it requires one extra step, I can't get a polars dataframe directly from pin_read.
import pins
import polars as pl
board = pins.board_connect()
paths = board.pin_download("sam.edwardes/vessel_verbose_raw")
pl.read_parquet(paths)
(2) Use pandas
This works, but requires me to have pandas installed. I also assume there is some kind of performance hit b/c you first read into pandas, then into polars?
import pins
import pandas as pd
import polars as pl
board = pins.board_connect()
pl.DataFrame(board.pin_read("sam.edwardes/vessel_verbose_raw"))
(3) Use fsspec
I have not figured out how to implement this yet, but I found this example for duckdb:
https://github.com/rstudio/pins-python/pull/193
Is there a way to do this with polars?
Related issues
Suggestions
It would be nice if pins gave me a choice about what DataFrame library is used with pin_read. For example:
import pins
import polars as pl
board = pins.board_connect()
board.pin_read("sam.edwardes/vessel_verbose_raw", df_library='polars')
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the existing pin_read and pin_download behavior, then compare the fsspec approach in pull request 193 and the related issues 153 and 32. Determine whether direct Posit Connect reads can support polars without pandas, and consider how a DataFrame-library choice would fit the current API; done means a clear supported approach or implementation path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100