We use cookies to ensure you have the best browsing experience on our website. Please read our cookie policy for more information about how we use cookies.
  1. Prepare
  2. Python
  3. Numpy
  4. Min and Max
  5. Discussions

Min and Max

Sort by

recency

|

341 Discussions

|

  • daminikumar2629
     + 0 comments

    import numpy as np

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

    Arr = [list(map(int,input().split(' '))) for _ in range(n)] arr =np.array(Arr)

    minimum = np.min(Arr, axis = 1) print(np.max(minimum))

  • SVVBathini
     + 0 comments

    For Python3 Platform

    import numpy

n, m = map(int, input().split())
arr = []

for _ in range(n):
    arr.append([*map(int, input().split())])
arr = numpy.array(arr)

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

  • __coded_vishal__
     + 0 comments
    import numpy as np

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

l=[]
for i in range(n):
  x=list(map(int, input().split()))
  l.append(x)
arr=np.array(l)
mx=np.max(np.min(arr,axis=1))
print(mx)

  • [deleted]Challenge Author     + 0 comments

    For Python3

    from numpy import array, min, max

n, m = map(int, input().split())
arr = array([input().split() for i in range(n)], dtype=int)

print(max(min(arr, axis = 1)))

  • ericstricker73
     + 0 comments
    import numpy


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

l = []
for _ in range(n):
    l.append(list(map(int, input().split())))

np_arr = numpy.array(l)

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