Hello all,
I want to plot Weibull distribution which is a log plot. For which I went through the demo of Log plot as shown here:
https://plotly.com/javascript/log-plot/
But for Weibull distribution, YAxis scale function is not just a natural logarithmic function. But its given as follows:
ln(-ln(1-p)) where p is calculated using a formula.
In short, I want to customize the log scale function for YAxis.
Please guide for some solution.
Instead of using a log scale plot the graph with normal linear scale as x vs y with y= ln(-ln(1-p)). Now the trick is to put proper yaxis ticks in position ln(-ln(1-p)) but with lable p, i.e put custom ticklabel. Check https://plotly.com/javascript/reference/#layout-yaxis-tickvals and https://plotly.com/javascript/reference/#layout-yaxis-ticktext
Hello!
I am interested in doing this, but can’t figure out how I would go about setting y = ln(-ln(1-p)) with a normal linear scale, where should I start?
Thank you!
Hey just wondering, did you manage to find a solution to this? I’m trying to do the same thing but in python. Thanks! 