'Pick values from a CDF curve
everyone, I have a generic values distribution. I post the graph.
Is there a way to generate a CDF from these values? Using sns I can create a graph:
My goal is to assign a value to the y-axis and take a value from the x-axis from the CDF. I'm searching online but can't find a method that doesn't require going through curve normalisation.
Solution 1:[1]
I'm not sure of the exact data format, but something like numpy.cumsum will take a numpy array that represents a PDF and turn it into an array that represents the CDF.
From there, with your array of p and cdf it is straightforward to find the p value that gives the cdf (which is what I understand you are looking for) with some interpolation with "nearest" as the type of interpolation (see the documentation on scipy.interpolate.interp1d for example).
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | alexpiers |