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

Concatenate

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440 Discussions

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  • 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)

  • [deleted]Challenge Author     + 0 comments

    For Python3

    import numpy as np

n, m, p = map(int, input().split())
lst1 = []
lst2 = []

for i in range(n):
    lst1.append(list(map(int, input().split())))
for j in range(m):
    lst2.append(list(map(int, input().split())))

arr1 = np.array(lst1)
arr2 = np.array(lst2)

print(np.concatenate((arr1, arr2), axis=0))

  • ericstricker73
     + 0 comments
    import numpy as np

n, m, p = map(int,input().split())
l = []
for _ in range(n):
    l.append(list(map(int, input().split())))
n_arr = np.array(l)
l = []
for _ in range(m):
    l.append(list(map(int, input().split())))
m_arr = np.array(l)
print(np.concatenate((n_arr, m_arr), axis = 0))

  • agrawalricha8121
     + 0 comments

    import numpy

    n, m, p = map(int, input().split()) n_list = [] m_list = [] for _ in range(n): n_list.append(list(map(int, input().split()))) n_array = numpy.array(n_list)
    for _ in range(m): m_list.append(list(map(int, input().split()))) m_array = numpy.array(m_list) print (numpy.concatenate((n_array, m_array), axis = 0))