On Fri, May 27, 2016 at 2:08 AM, Startup Hire <[email protected]> wrote:
> Hi, > > @ Warren: I was thinking of using federico method as its quite simple. I > know the mu and sigma of log(values) and I need to plot a normal > distribution based on that. Anything inaccurate in doing that? > > Getting mu and sigma from log(values) is fine. That's one of the three methods (the one labeled "Explicit formula") that I included in this answer: http://stackoverflow.com/questions/15630647/fitting-lognormal-distribution-using-scipy-vs-matlab/15632937#15632937 Warren > @ Sebastian: Thanks for your suggestion. I got to know more about powerlaw > distributions. But, I dont think my values have a long tail. do you think > it is still relevant? What are the potential applications of the same? > > Thanks & Regards, > Sanant > > On Thu, May 26, 2016 at 7:50 PM, Sebastian Benthall <[email protected]> > wrote: > >> 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 >>> >>> >> _______________________________________________ >> 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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