I want to calculate the minimum and maximum values of array A but I want to exclude all values less than 1e-12. I present the current and expected outputs.
import numpy as np
A=np.array([[9.49108487e-05],
[1.05634586e-19],
[5.68676707e-17],
[1.02453254e-06],
[2.48792902e-16],
[1.02453254e-06]])
Min=np.min(A)
Max=np.max(A)
print(Min,Max)
The current output is
1.05634586e-19 9.49108487e-05
The expected output is
1.02453254e-06 9.49108487e-05
Slice with boolean indexing before getting the min/max:
B = A[A>1e-12]
Min = np.min(B)
Max = np.max(B)
print(Min, Max)
Output: 1.02453254e-06 9.49108487e-05
B: array([9.49108487e-05, 1.02453254e-06, 1.02453254e-06])
You can just select the values of the array greater than 1e-12 first and obtain the min and max of that:
>>> A[A > 1e-12].min()
1.02453254e-06
>>> A[A > 1e-12].max()
9.49108487e-05
arr = np.array([9.49108487e-05,1.05634586e-19,5.68676707e-17,1.02453254e-06,2.48792902e-16,1.02453254e-06])
mask = arr > 1e-12
Min = np.min(arr[mask])
Max = np.max(arr[mask])
