[gmx-users] Population Density Plot

[Vytautas Rakeviius]

 4 days after original post without answer at all I think every post is helpful somewhat. Especially when it encourages discussion and even more answers right away. 
Am I wrong?

    On Monday, September 17, 2018, 4:48:52 PM GMT+3, João Henriques <joao.m.a.henriques at gmail.com> wrote:  
 
 I'm sure there's lots of software that can perform that task, I just felt
it was important to underline that a kernel density estimation is what is
needed in this case. If you go back to your original reply, there's nothing
in there that can help the original poster solving his problem.

J

On Mon, Sep 17, 2018 at 3:43 PM Vytautas Rakeviius <vytautas1987 at yahoo.com>
wrote:

>  Also you can use R for that task. Very easy like:density(x, ...)
>
>    On Monday, September 17, 2018, 4:26:38 PM GMT+3, João Henriques <
> joao.m.a.henriques at gmail.com> wrote:
>
>  How does that reply the OP's question? To calculate the joint probability
> distribution you need to perform a kernel density estimation. I'd recommend
> either SciPy or Seaborn if you're not averse to coding in Python:
>
>
> https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.gaussian_kde.html
> https://seaborn.pydata.org/examples/joint_kde.html
>
> With Seaborn this is an incredibly simple task.
>
> J
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