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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…
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### Feature Idea
I would suggest to add `"hms"` to the default value of `xportr.numeric_types`. Time variables which are created by `admiral::derive_vars_dtm_to_tm()` are of class `"hms"`. Without ad…
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Hi, while using this library, I am getting an error no objects to concatenate specifically in psm.logistic_ps(balance=True), I have checked my dataframe looks good, can anyone please advise on this?
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### Title
Worried of slow pandas with large-scale Data Analysis? Embrace FireDucks!
### Describe your Talk
In this talk, I will introduce [FireDucks](https://fireducks-dev.github.io/), a revo…
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Can someone show me how to use this package to conduct a conditional independence test with mixed data? Suppose I have the following data.
```
import pandas as pd
import numpy as np
# Set seed…
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## Summary
Generally, comparisons to `True`, `False`, and `None` singletons should use `obj is True` instead of `obj == True`.
However, it is common for libraries to override the `==`/`__eq__` o…
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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…
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In order to more easily support other dataframe libraries, we need to abstract the dataset representation into its own class.
AC:
* All dataframe operations are handled by a new dataset class
*…
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I ran into a problem with the Polars library and their approach to the Dict = Struct type (in Polars). A simple cast to String takes care of it, but I prefer to ask if there is a possibility to add fu…
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Currently we use the Pandas NumPy backend. Nowadays pandera also supports the Pandas [Arrow backend](https://pandas.pydata.org/docs/user_guide/pyarrow.html), as well as [polars](https://pola.rs/), whi…