I have never used sympy statistics, hence my comments may be without any use.
1. With matplotlib there is an excellent visualisation library available. Hard for me to see, how you can beat it. 2. There is a library sdeint available, which numerically integrates Ito or Stratchonovich stochastic differential equations. Hence, it gives sample paths of integrated white noise for free, of course. (I think, it is a bit of an one man show, not really being developed much, but the stochastic integration works) Am Fr., 1. Apr. 2022 um 02:48 Uhr schrieb Kuldeep Borkar < kuldeepborkarjr...@gmail.com>: > Hello SymPy Community, > > Few days ago, I was having a discussion regarding my GSOC Project Idea > with this year's mentor for the Probability Section and on my idea > regarding implementation of noise processes I came up with the suggestion > of adding a method to Visualize the noise processes, also the Random Walk > which I am planning to complete as a part of my GSOC this summer. > > *My suggestion to visualize was to add a method like .visualize( ) to > Noise Processes and Random Walk and pass some flags whether the user wants > it in animated sort of thing or not but this idea was * > *Request For Comments(RFC) from the SymPy community since .visualize( ) > might not be the best the to implement this thing.* > > *So any feedback/comments regarding the above would be helpful a lot* : ) > > On Monday, 7 March 2022 at 18:12:16 UTC+5:30 Kuldeep Borkar wrote: > >> I was planning to be a part of GSOC this summer with SymPy to learn more >> and >> implement something big. >> >> >> *For this,I was planning to work on improving SymPy's stats module;* >> I checked there are many good things already implemented in the stats >> module. >> And, I found issue(https://github.com/sympy/sympy/issues/17197) about >> the Random Walk implementation which is in progress, but it seems the issue >> created is closed for now and I am looking forward to complete it. >> >> On the ideas page of SymPy for GSOC in the Probability section I found >> things which can be implemented as a part of GSOC project. >> I saw things there which interests me to work on: >> >> --> Reproducibility of Sampling Outputs of Stochastic Processes, >> WienerProcess(I think the idea of ito calculus is covered here), >> Completing Random Walk(I think it was a typo there it should be Prototype >> not Protorype), etc. >> >> >> >> >> *But my query is:I was planning to implement something different;A better >> way to use probability of events like one mentioned >> here(https://github.com/sympy/sympy/issues/20111 >> <https://github.com/sympy/sympy/issues/20111>):* >> --> >> >> *Working with events rather than random variables.--> Currently I don't >> think there's is a way to define just an event andnot specifically a random >> variable like* >> A, B = event('A, B') >> P(A) = x >> P(B & A) = y >> P(B & !A)? >> *Also, currently there is not a way to assign probability like a certain >> event A* >> >> *has probability P(A) = x(Please enlighten me if I am making a mistake >> somewhere ; ) )* >> and noise processes too, like white noise (White noise refers to a >> statistical model for signals and signal sources, rather than to any >> specific signal), >> *is it possible to work on some of the things from ideas page and some >> from our own?* >> >> *[I am trying to understand the codebase now(Are there any tips which >> could help me to understand things more efficiently? ) *: ( >> *It may not be a valid question though, but thought I should try to ask >> first.]* >> > -- > You received this message because you are subscribed to the Google Groups > "sympy" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to sympy+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/sympy/82761518-db7a-4f23-9e72-5549c5986fabn%40googlegroups.com > <https://groups.google.com/d/msgid/sympy/82761518-db7a-4f23-9e72-5549c5986fabn%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sympy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/CABKqA0YTV1zVAakXswUxhbKuoqv%3DDfjis5j_HXaKT73zKAizgA%40mail.gmail.com.
