Re: Using scipy to fit a bimodal distribution

Hi Ashish,

I can recommend lmfit: https://lmfit.github.io It's and additional module,
so you'll need to install it, but it's worth it. It's well documented, easy
to use and provides the possibility of creating composite models (
https://lmfit.github.io/lmfit-py/model.html#composite-models-adding-or-multiplying-models).
I use it whenever I need to fit a double peak. It will also work with two
different distributions.

Cheers,

Paweł

2018-03-16 8:14 GMT+01:00 spiff007 <[email protected]>:

> Hi Folks,
>
> I have some data, which is bimodally distributed.
>
> The initial part of the data(in red, in the figure below), seems to be
> exponentially distributed and the latter part(in blue, in the figure
> below), seems to be a gamma distribution.
>
> See image below (& attached) :
>
>
> ​
> What scipy function, i could use to fit this data, knowing that, the first
> mode is exponential, and the latter, seems to be gamma.
> If its not possible to do it using scipy, is there another library/module
> i could use to do this ?
>
> Any suggestions/pointers/advice/hacks ?
>
> Thanks a ton,
> ashish
>
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