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It would be great to offer Polars support, it is currently half as popular as Pandas, and generally work better for large datasets. Polars is bound to replace most data-scientist day to day operations…
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Wondering if there is any consideration for adding a .rows function to the `org.polars.scala.polars.api.DataFrame` implementation.
https://pola-rs.github.io/polars/py-polars/html/reference/datafra…
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Hello hello! Long time no see @JakobGM, @thomasaarholt :smile: Cool project!
I'm interested in strong typing on the exposed polars.DataFrame methods such as `get_column()`. Take for example the fol…
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Use https://github.com/narwhals-dev/narwhals to support pandas and polars!
This seems to be a very cool alternative to support various backends. See for example https://github.com/koaning/scikit-le…
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**What could be better?**
being able to operate with polars dataframes
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Community voting on feature requests enables the Streamlit team to understand which features are most important to our…
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```
df = pl.DataFrame({"s": ["This is a sentence", "This is another sentence"]})
df.with_columns(
pl.col("s").candle.embed_text("bert-base-uncased").alias('s_embedding')
)
print(df)
``…
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**Is your feature request related to a problem? Please describe.**
In implementing the cudf-polars interpreter, I would like to use `cudf::merge::merge` to implement the polars `merge_sorted` funct…
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The following filter + head operation works smoothly:
```python
import polars as pl
from functools import partial
from cudf_polars.callback import execute_with_cudf
import numpy as np
ldf = …
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Very annoying to have to specify `NA_integer_` or the other variants:
``` r
library(polars)
options(polars.do_not_repeat_call = TRUE)
pl$DataFrame(x = list(1L, 2L, NA_integer_))
#> shape: (3,…
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Curious to hear thoughts on this one - especially from @baggiponte
Narwhals follows a strict subset of the Polars API. What happens if/when some part of this subset gets changed in Polars itself?
…