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Description
Please provide a clear and concise description of the problem. This should contain all the steps nee

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()

Which version are you running? The lastest version is on Github. Pip is for major releases.

import pandas_ta as ta
print(ta.version)

version == 0.3.14b0

Upgrade.

$ pip install -U git+https://github.com/twopirllc/pandas-ta

Describe the bug
A clear and concise description of what the bug is.
when trying to calculate values for all indicators using

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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Brief Description of Fix

When I see docs I found [get_features_targets page](https://pyjanitor-devs.github.io/pyjanitor/reference/janitor.functions/janitor.get_features_targe

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.

Hi,
any ideas how to implement TradingView Pine RMA ?