You may also be interested in the 'powerlaw' Python package, which detects the tail cutoff. On May 26, 2016 5:46 AM, "Warren Weckesser" <[email protected]> wrote:
> > > 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 >> >> > > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn > >
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