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in relation to #1343 - this is a list of functions missing in the polars library that could be implemented :
- [x] `clean_names`
- [x] `pivot_longer`
- [ ] `pivot_wider`
- [x] `xlsx_tables`
- [x…
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Hi, this is a random person who got this repo in github recommendations.
Comment1: cool and nice, but ungzipped matrix market is a very expensive option. Comparison with gzip is more valuable IMO
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### Checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars.
### Reprodu…
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### Problem description
Write only one dictionary when sinking to IPC.
It would be great that when writing categorial data to an IPC sink, only one unified dictionary is written, instead of multip…
ghuls updated
12 months ago
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Thanks for the demonstration! Interoperability matters so much for Rust and Python and Arrow C interface definitely opens a new door on it. Since it’s been two years, I’m wondering if there is any oth…
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As discussed in the rust arrow chat, this is a place to chart a way forward by collecting examples of both what people do in other libraries and what they want to do but can't do easily with current t…
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### Polars version checks
- [x] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://crates.io/crates/polars) of P…
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### Checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars.
##…
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I would expected the columns to be converted to pandas Int64 instead of float64.
```
import polars as pl;
import pandas as pd;
pandasdf = pd.DataFrame({ 'myint' :[1, None, 2]})
pandasdf['my…
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I start this issue to get some community insight/help on this. As I understand it starting with a `Dask bag` is the most natural step to start this.
I understand this as a partitioned data structur…