# Is there any data tidying tool for python/pandas similar to R tidyr tool?

I'm working on a Kaggle challenge where some variables are represented by rows instead of columns (Telstra Network Disruption). I am currently searching for the equivalent of gather(), separate() and spread(), which can be found in R tidyr tool.

I'd start with the melt() function in pandas. I wrote an article about it:

https://www.ibm.com/developerworks/community/blogs/jfp/entry/Tidy_Data_In_Python?lang=en

R's gather() essentially goes from wide to long. So,

1. check pandas page for how to use pandas.wide_to_long(),
2. check this blog for a discussion on getting an elegant gather-like function in Python.

I tried to syntactically mimic the tidyr package in python in a package called tidypython. I made it compatible with the dplython package, which includes usage of the >> operator for chaining commands.

It hasn't been fully tested, but should work pretty well:

https://github.com/durrantmm/tidypython

Let me know if it works for you.

There is a port of tidyr in python:

https://github.com/pwwang/datar

Disclaimer: I am the author.