I have 2 arrays

Suppose I am given a few numpy arrays, say a, b and c, which are assumed to be broadcastable. Is there a standard or othwerwise an elegant way to find the array shape after broadcasting? Of course, something like (a+b+c).shape would work, but is very inefficient if I am only interested in the shape of the result.

I’m attempting to calculate the embedding dimension using FNN from nolitsa.dimension.fnn function. My time series is force on left leg during gait analysis.

I have the following states and transition matrix

Closed 28 mins ago.

Closed 28 mins ago.

Closed 28 mins ago.

Closed 28 mins ago.

I’d like to reduce a multidimensional array along one axis by finding the first value in the other dims that is truthy/matches some condition, or a default value if no matching elements can be found. So far I’m trying to do this for a 3D array with some simple looping as follows:

OK, so I’m pulling my hair out on this one.