I would like to reproduce the same graph as shown on Matlab's wblplot() documentation:Matlab wblplot() documentation
I am wondering if there is a way to generate this on Python, either with an existing library/function or user-defined.
- How do I create the "uneven" tick/grid spacing on the y-axis?
- How do I fit the shape & scale parameters for a set of data?Please let me know if you have any insight on either issue!Image from Matlab's wblplot() documentation.
I'm ignorant to what parameters this plot requires. I can manually fit the shape/scale on statistical software, like JMP or Origin, but I don't know how to get these values mathematically or programmatically.Initially, I attempted to fit a CDF to the data, but that doesn't give me what I desire.I can edit the ticks for the y-axis to represent the probability quantiles, but it gets congested at lower values (e.g. 0.01, 0.02, 0.05) and I'm not sure how to increase the spacing.
Figure generated using scipy.stats.weibull_min.cdf()
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