A Normalization of Radial Distribution Function

AI Thread Summary
Normalization of the Radial Distribution Function (RDF) is necessary when there is a significant disparity in g(r) values, such as one reaching 40 while others remain around 5. To improve visualization, it is suggested to normalize the RDF so that g(r) approaches 1 for larger r values. Truncating the y-axis can also help in comparing smaller peaks more effectively. Python programming solutions for normalization and visualization techniques are requested. Effective normalization will enhance the clarity of the plotted data.
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Hello all,
I have a Radial Distribution Function in which the y-axis ie., g(r) value goes up to 40. But the other atoms values for g(r) are, say within 5. So when i plot these two it is difficult to see the smaller graph.
So how do i normalize these value..??
I have attached an image.

Any python program if possible would be highly appreciated.

Thank you.
 

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The usual normalization is that g(r) ---> 1 for large r. For comparison with smaller peaks, you can truncate the y-axis.
 
I want the y-axis scale to be reduced and hence i can have a better visualization w.r.t all the graphs.
Any suggestions on how to get this??
 
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