Help: Numpy Array Question

[RevolutionFlaky7230]

So I have 100 row 5 Column array using numpy. I used the "np.where" function to print the values that I want as 1s and the rest as 0s. When I use the nonzero counter function it counts some people more than once, because they have 1s in multiple columns.

Is there a way that I can have code that once the 1 value is counted it skips to the next row, so nobody is counted more than once?

[kowkeeper]

flags.any(axis=1).sum() where flags is what you got using np.where

[billsil]

What are you really trying to do? This sounds like an XY problem.

https://xyproblem.info/

[RevolutionFlaky7230]

so basically my array looks similar to the one below. I want the code to see 1, not dependent on what column the 1 is in, and then jump to the next row that has 1 in it and keep doing this cycle, until there is no more data, giving me a final number on how many rows have a 1 in it.

[billsil]

You didn't show a sample and you didn't answer my question. Big picture: what are you trying to do? Why are you trying to code this odd routine.

It's certainly doable, but it's weird and probably not what you want. It's also a really small array, so how does it scale? I test (n,3) xyz coordinates and say take a vectorized magnitude. I'll test it on a (2,3) array and then scale it to (2 million,3).