Element-wise minimum of multiple vectors in numpy

Question

I know that in numpy I can compute the element-wise minimum of two vectors with

numpy.minimum(v1, v2)

What if I have a list of vectors of e

Answer 1

Convert to NumPy array and perform ndarray.min along the first axis -

np.asarray(V).min(0)

Or simply use np.amin as under the hoods, it will convert the input to an array before finding the minimum along that axis -

np.amin(V,axis=0)

Sample run -

In [52]: v1 = [2,5]

In [53]: v2 = [4,5]

In [54]: v3 = [4,4]

In [55]: v4 = [1,4]

In [56]: V = [v1, v2, v3, v4]

In [57]: np.asarray(V).min(0)
Out[57]: array([1, 4])

In [58]: np.amin(V,axis=0)
Out[58]: array([1, 4])

If you need to final output as a list, append the output with .tolist().