Show distribution of data about mean using contours

Question

I was wondering if anyone could point me in the right direction with some functions or code (in python) which would allow me to plot the distribution of a timeseries dataset using contours, as shown in the attached image.

I have a dataset like the one used in this graph, over multiple days. I have created a graph with the mean value at each hour, but I want to properly show the distribution about the mean using percentage frequency, similar to the contour format in the image.

If anyone could link me to some examples on how to do this, it would be a great help, as I have been unable to find anything useful anywhere.

Maybe something like [Fanplot from quantiles](https://stackoverflow.com/questions/70909386/fanplot-in-python-from-quantiles/70909994#70909994)? — JohanC, Jan 30 '22 at 11:22

score 0 · Answer 1 · answered Oct 23 '22 at 10:51

You can use Seaborn for this! Here's an example:

import seaborn as sns

fmri = sns.load_dataset("fmri").query("region == 'parietal'")

p = so.Plot(fmri, "timepoint", "signal")
for tail in [25, 10, 5, 1]:
    p = p.add(so.Band(), so.Perc([tail, 100 - tail]))
p.add(so.Line(), so.Agg("median"))

Which will result in this plot:

You can read more about it in Statistical estimation and error bars.

I hope this helps!

Show distribution of data about mean using contours

1 Answers1