R style default plot for Pandas DataFrame

[This article was first published on bayesianbiologist » Rstats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The default plot method for dataframes in R is to show each numeric variable in a pair-wise scatter plot. I find this to be a really useful first look at dataset, both to see correlations and joint distributions between variables, but also to quickly diagnose potential strangeness like bands of repeating values or outliers.

From what I can tell, there are no builtins in the python data ecosystem (numpy, pandas, matplotlib) for this so I coded up a function to emulate the R behaviour. You can get it in this gist.

Here’s an example of it in action showing derived time-series features (12 hour rates of change) for some clinical variables.

plot_correlogram(df)

ts_features


To leave a comment for the author, please follow the link and comment on their blog: bayesianbiologist » Rstats.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)