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  1. Prepare
  2. Python
  3. Numpy
  4. Concatenate
  5. Discussions

Concatenate

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443 Discussions

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  • abilashking999
     + 0 comments
    import numpy as np

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

np_arr1 = np.array([input().split() for _ in range(n)], int)
np_arr2 = np.array([input().split() for _ in range(m)], int)
print(np.concatenate((np_arr1,np_arr2), axis=0))

  • dukavinod
     + 0 comments

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

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

  • __coded_vishal__
     + 0 comments
    import numpy as np
n,m,p=(map(int,input().split()))
l1=[]
l2=[]
for i in range(n):
  (l1.append(list(map(int, input().split()))))
for j in range(m):
  (l2.append(list(map(int, input().split()))))
ar1=np.array(l1)
ar2=np.array(l2)
con=np.concatenate((ar1,ar2), axis=0)
print(con)

  • fernandogabriel8
     + 0 comments
    import numpy as np

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

n_arr = np.array([list(map(int, input().split())) for i in range(n)])
m_arr = np.array([list(map(int, input().split())) for i in range(n, n + m)])
concatenated_arr = np.concatenate((n_arr, m_arr))

print(concatenated_arr)

  • loucifsk
     + 0 comments

    Fast :

    import sys, numpy

entry = sys.stdin.read().splitlines()[1:]
array = numpy.array([[int(tandem[0]), int(tandem[2])] for tandem in entry])
print(array)