dataframe

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Description
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In pandas assert_frame_equals has the check_exact flag which allows for inexact number comparisons with tolerances defined by the rtol (relative tolerance) and atol (absolute tolerance). This would be nice to have in polars as well, since it allows for ignoring floating point rounding error

Support Series.median()

We should be able to pass a dataset to a function called train_test_split and get back splits of training and testing data similar to the sklearn train_test_split function here.
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Hi @twopirllc ,
Could you please add the Connors RSI (CRSI) indicator?

About CRSI
Code for reference

Also doc for [Aroon](https://github.com/twopirllc/pandas-ta/blob/1deb7559f626d2a5cf664b6c0af7a8016a53bfca/pan

Hi ,

I am using some basic functions from pyjanitor such as - clean_names() , collapse_levels() in one of my code which I want to productionise.
And there are limitations on the size of the production code base.
Currently ,if I just look at the requirements.txt for just "pyjanitor" , its huge .
I don't think I require all the dependencies in my code.
How can I remove the unnecessary ones ?

Thanks for this library, it made my pandas workflow clean & easy to maintain.

Feature Request:
pd.merge is a common operation when dealing with 2 or more data frames & pipeline stage for this is missing.
Currently, I am implementing a custom pipeline stage pdp.Merge from PdPipelineStage & would like to contribute.