There's also an implementation in scikit-guess, which I mostly maintain.

On Sun, Jul 21, 2024, 00:38 Dom Grigonis <dom.grigo...@gmail.com> wrote:

> For statistics functions there is `scipy` package.
>
> If you are referring to pdf of n-dimensional gaussian distribution,
> `scipy.stats.multivariate_normal.pdf` should do the trick.
>
> If you are referring to something else, then a bit of clarification would
> be helpful.
>
> Regards,
> dg
>
> > On 20 Jul 2024, at 09:04, tomnewton...@gmail.com wrote:
> >
> > Hello,
> >
> > Apologies if either (a) this is the wrong place to post this or (b) this
> functionality already exists and I didn't manage to find it.
> >
> > I have found myself many times in the past wishing that some sort of N-D
> Gaussian function exists in NumPy. For example, when I wish to test that
> some plot or data analysis method is working correctly, being able to call
> `np.gauss()` on a (M,N) array of coordinates or passing it the arrays
> generated by a meshgrid, along with tuples for sigma and mu, would be very
> convienient.
> >
> > I could write such a function myself, but that would not be convenient
> to reuse (copying the function to every program/project I want to use it
> in), and many other mathematical functions have "convenience" functions in
> NumPy (such as the square root). More importantly, I imagine that any such
> function that was written into NumPy by the people who regularly contribute
> to the project would be far better than one I wrote myself, as I am not
> tremendously good at programming.
> >
> > Regards,
> > Tom
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