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

|

344 Discussions

|

  • nikhilgupta21561
     + 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())

  • napalmcattt
     + 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())

  • maxence_qnt
     + 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())

  • faysalalmahmud
     + 0 comments
    import numpy as np 

if __name__ == "__main__":
    N, M = input().split()
    N = int(N)
    M = int(M)
    
    array = np.array( [list(map(int, input().split())) for i in range(N)])
    print(np.transpose(array))
    print(array.flatten())

  • rohitambasta_ii1
     + 0 comments

    import numpy

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

array= []

for _ in range(N):
    row = list(map(int, input().split()))
    array.append(row)

array= numpy.array(array)
print(numpy.transpose(array))
print(array.flatten())