Minimum per row in numpy array-CodePudding

I have a numpy array and want to calculate the minimum in each row:

import numpy as np

data=np.array([[ 9.052878e 07,  1.666794e 08,  9.783935e 07,  7.168723e 07],
       [ 1.033552e 04,  1.902951e 04,  1.117015e 04,  8.184407e 03],
       [ 1.000000e 15,  5.740625e 15,  3.419288e 15,  2.549149e 15],
       [ 1.000000e 15,  5.740625e 15,  3.419288e 15,  2.549149e 15]])

print(np.min(data))
#8184.407

np.min(data) claulates the total minimum and not row-wise.

CodePudding user response：

Will this work for you

import numpy as np

data=np.array([[ 9.052878e 07,  1.666794e 08,  9.783935e 07,  7.168723e 07],
       [ 1.033552e 04,  1.902951e 04,  1.117015e 04,  8.184407e 03],
       [ 1.000000e 15,  5.740625e 15,  3.419288e 15,  2.549149e 15],
       [ 1.000000e 15,  5.740625e 15,  3.419288e 15,  2.549149e 15]])
np.amin(data, axis=-1)
# array([7.168723e 07, 8.184407e 03, 1.000000e 15, 1.000000e 15])

CodePudding user response：

if you want min for each row then mention axis - np.min with axis

print(data.min(axis=1))