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  1. Prepare
  2. Python
  3. Numpy
  4. Min and Max
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Min and Max

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349 Discussions

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  • rohitambasta_ii1
     + 1 comment

    Though, range M is not required, but its still always a good practice to do so to exactly respect the question asked. And that's why I intentionally invoked this to keep the N * M Matrix. What do you think? Please let me know your opinion?

    import numpy

N, M = list(map(int, input().split()))

array_lst =[]

for _ in range(N):
    inp = input().split()
    lst = [int(inp[i]) for i in range(M)]
    array_lst.append(lst)
    
np_array = numpy.array(array_lst)
max_array= numpy.min(np_array, axis= 1)
print(numpy.max((max_array)))

  • yashdeora98294
     + 0 comments

    Here is HackerRank Min and Max in Python solution - https://programmingoneonone.com/hackerrank-min-and-max-problem-solution-in-python.html

  • arohi_agrawal111
     + 0 comments
    import numpy as np

n, m = map(int, input().split())

val = np.array([list(map(int, input().split())) for i in range(n)])

print(np.max(np.min(val, axis=1)))

  • zynparkn2110
     + 0 comments

    import numpy

    n, m = map(int, input().split())

    data = []

    for _ in range(n): data.append(list(map(int, input().split())))

    array = numpy.array(data)

    print(numpy.max(numpy.min(array, axis=1)))

  • muhammadvarza191
     + 0 comments
    import numpy as np

a = np.array([list(map(int, input().split(' '))) for _ in range(int(input().split(' ')[0]))])
a = np.min(a, axis=1)

print(np.max(a))