On Thu, May 26, 2016 at 2:08 AM, Startup Hire <[email protected]> wrote:
> Hi all, > > Hope you are doing good. > > I am working on a project where I need to do the following things: > > 1. I need to fit a lognormal distribution to a set of values [I know its > lognormal by a simple XY scatter plot in excel] > > The probability distributions in scipy have a fit() method, and scipy.stats.lognorm implements the log-normal distribution ( http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.lognorm.html) so you can use scipy.lognorm.fit(). See, for example, http://stackoverflow.com/questions/26406056/a-lognormal-distribution-in-python or http://stackoverflow.com/ /questions/15630647/fitting-lognormal-distribution-using-scipy-vs-matlab Warren > 2. I need to find the intersection of the lognormal distribution so that I > can decide cut-off values based on that. > > > Can you guide me on (1) and (2) can be achieved in python? > > Regards, > Sanant > > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn > >
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