dataframe

Hello,
Considering your amazing efficiency on pandas, numpy, and more, it would seem to make sense for your module to work with even bigger data, such as Audio (for example .mp3 and .wav). This is something that would help a lot considering the nature audio (ie. where one of the lowest and most common sampling rates is still 44,100 samples/sec). For a use case, I would consider vaex.open('Hu

Support Series.between

sin, cos, etc.

In rust this is not needed as we can easily call apply(_cast)

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.
.

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: 0.3.2b0

**Describe the bug**
formula used in kvo doesnt match general formual for example https://www.investopedia.com/terms/k/klingeroscillator.asp on investopedia or other sources formula for VF is, VF = V×[2×((dm/cm)−1)]×T×100, but y

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 ?

I'm using black and isort for other projects (see e.g. https://github.com/hyperopt/hyperopt/pull/748/files) and find them quite useful to have more consistent codebase. I think you should drop python3.5 support though, as black is python3.6+. Is this something you would be open to consider?