Numpy amin and amax alternative or algorithm?
Question:
I have to move an API from my server to AWS Lambda. Lambda has a size limit, i.e., 250 MB. I used numpy’s amin and amax methods in my code, rest of numpy is useless for me. Is there any other alternative to numpy in my case or can anyone tell me the algorithm for amin and amax without getting the time complexity of O(m+n)? Thank you
Answers:
Do the Python built-in functions max and min not work for you?
>>> max([1, 2, 3])
3
>>> min([1, 2, 3])
1
For a 2D list you can use a comprehension:
>>> l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
>>> [max(r) for r in l] # max by rows, or axis = 1
[3, 6, 9]
>>> [max(r) for r in zip(*l)] # max by cols, or axis = 0
[7, 8, 9]
I know I’m like 3 years late, but, tf.experimental.numpy.amin and amax
I have to move an API from my server to AWS Lambda. Lambda has a size limit, i.e., 250 MB. I used numpy’s amin and amax methods in my code, rest of numpy is useless for me. Is there any other alternative to numpy in my case or can anyone tell me the algorithm for amin and amax without getting the time complexity of O(m+n)? Thank you
Do the Python built-in functions max and min not work for you?
>>> max([1, 2, 3])
3
>>> min([1, 2, 3])
1
For a 2D list you can use a comprehension:
>>> l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
>>> [max(r) for r in l] # max by rows, or axis = 1
[3, 6, 9]
>>> [max(r) for r in zip(*l)] # max by cols, or axis = 0
[7, 8, 9]
I know I’m like 3 years late, but, tf.experimental.numpy.amin and amax