Transpose and Flatten

Sort by

recency

|

346 Discussions

|

  • + 0 comments

    For Python3 Platform

    import numpy
    
    n, m = map(int, input().split())
    arr = numpy.array([input().split() for _ in range(n)], int)
    
    print(numpy.transpose(arr))
    print(arr.flatten())
    
  • + 0 comments
    import numpy as np
    n,m = map(int,input().split())
    
    data = [input().split() for _ in range(n)]
    
    np_array = np.array(data,int)
    
    print(np.transpose(np_array))
    print(np_array.flatten())
    
  • + 0 comments

    import numpy as np

    x = list(map(int, input().split())) a = [] for i in range(x[0]): a1 = list(map(int,input().split())) a.append(a1)

    a = np.array(a)

    print(np.transpose(a)) print(a.flatten())

  • + 0 comments
    import numpy as np
    
    n, m = map(int, input().split())
    
    array = np.array([input().split() for _ in range(n)], int)
    
    print(np.transpose(array))
    print(array.flatten())
    
  • + 0 comments
    import numpy 
    
    n_m = list(map(int, input().split()))
    N = n_m[0]
    M = n_m[1]
    
    my_array = []
    for _ in range(N):
        my_array.append(list(map(int, input().split())))
    
    my_numpy_array = numpy.array(my_array)
    
    print(numpy.transpose(my_numpy_array))
    print(my_numpy_array.flatten())