-
## Question
What would you like to know?
Hi, not sure if I've missed something but is there an easy way to apply conditional styles (https://posit-dev.github.io/great-tables/get-started/basic-st…
-
pandantic seemed to be such a nice and simple implementation that I decided edit your model to use with Polars Dataframes and figured I would share the results.
I only recently began using polars s…
-
I have been using Polars in Python and it is a wonderful, fast, DataFrame library for Python and Rust. There even seems to be work on creating R-bindings for polars as well (https://github.com/pola-rs…
vnijs updated
6 months ago
-
### Describe the bug
Discovered by @maxim-uvarov
Converting to a dataframe with null and numeric values results in the dataframe column being of dtype object. Futhermore, when attempting to apply…
-
### Description
Currently the `str.replace_many` method takes two lists for the original and replacement strings.
```python
df = polars.DataFrame({
"A": ["a", "b", "c", "d", "e"],
})
df.…
-
[Polars](https://github.com/pola-rs/polars) is a single-machine columnar dataframe library built on top of pyarrow Tables with both a eager and lazy API. While the default pickle serialization works f…
-
### 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.
### Re…
-
We can't currently do a read + length/count operation on a parquet file.
```python
import polars as pl
from functools import partial
from cudf_polars.callback import execute_with_cudf
import nu…
-
As [Polars](https://github.com/pola-rs/polars) is becoming more and more popular I am wondering if there are any consideration to support its dataframes. Given the performance oriented focus of this p…
-
## 🚀 Feature
Provide a Dataframe API using Polars to improve query performance.
### Motivation
Querying and working with large amounts of data in Aim using Pandas Dataframes could pot…