How to find the minimum value in a numpy matrix?

python arrays matrix numpy minimum
Sean picture Sean · Aug 1, 2012 · Viewed 12.9k times · Source

Hey this is a quick and easy question... How would i find the minimum value of this matrix, excluding 0? As in, 8

arr = numpy.array([[  0.,  56.,  20.,  44.],
                   [ 68.,   0.,  56.,   8.],
                   [ 32.,  56.,   0.,  44.],
                   [ 68.,  20.,  56.,   0.]])

Answer

jmetz picture jmetz · Aug 1, 2012

As you're using numpy, you could use

arr[arr>0].min()

for the case you posted. but if your array could have negative values, then you should use

arr[arr != 0].min()

Related questions

numpy matrix vector multiplication

When I multiply two numpy arrays of sizes (n x n)*(n x 1), I get a matrix of size (n x n). Following normal matrix multiplication rules, a (n x 1) vector is expected, but I simply cannot find any information …

Read More
Convert a 1D array to a 2D array in numpy

I want to convert a 1-dimensional array into a 2-dimensional array by specifying the number of columns in the 2D array. Something that would work like this: > import numpy as np > A = np.array([1,2,3,4,5,6]) > B = vec2matrix(…

Read More
Numpy matrix to array

I am using numpy. I have a matrix with 1 column and N rows and I want to get an array from with N elements. For example, if i have M = matrix([[1], [2], [3], [4]]), I want to get A = array([1,2,3,4]). To achieve it, …

Read More