I want to quantify the similarity of a curve of measurement values to a gaussian distribution with Python.

Two arrays of values are given:

`H=(0,5,10,15,20,25,30,35,40,50,70)` is the height in meters

`C(H)=(0,1,1,2,4,6,7,5,3,1,0)` is the measured quantity (e.g. concentration)

Is there a way in Python to

a) fit a gaussian curve to the values of `C(H)`?

b) get some kind of coefficient of similarity that describes how similar the curve is to a gaussian curve?

Thanks in advance