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. Transpose and Flatten
  5. Discussions

Transpose and Flatten

Sort by

recency

|

324 Discussions

|

  • dineshnampalli21
     + 0 comments

    import numpy N, M = list(map(int, input().strip().split())) my_array = numpy.array([input().strip().split()[:M] for _ in range(N)], dtype=int) print(numpy.transpose(my_array)) print(numpy.sort(numpy.transpose(my_array).flatten()))

  • lucasins_monten1
     + 0 comments

    import numpy import numpy as np

    n, m = map(int, input().strip().split()) matrix = np.array([input().strip().split() for _ in range(n)], dtype=int) transpose = np.transpose(matrix) flatten = matrix.flatten() print(transpose) print(flatten)

  • smileyviknesh007
     + 0 comments

    import numpy n,m = input().split() og=numpy.array([[s for s in map(int,input().split())] for _ in range(int(n))]) print(numpy.transpose(og)) print(og.flatten())

  • sumneetkhanna161
     + 0 comments
    import numpy as np

n, m = map(int, input().split())
matrix = np.array([list(map(int, input().split())) for _ in range(n)])
print(np.transpose(matrix))
print(matrix.flatten())

  • syahrulmahar92
     + 0 comments

    import numpy as np

    n,m = input().split() arr = [] for i in range(int(n)): num = list(map(int, input().split())) arr.append(num) myarr = np.array(arr) print(np.transpose(myarr)) print(myarr.flatten())