numpy merge arrays
>>> a = np.array([[1, 2], [3, 4]])
>>> b = np.array([[5, 6]])
>>> np.concatenate((a, b), axis=0)
array([[1, 2],
[3, 4],
[5, 6]])
>>> np.concatenate((a, b.T), axis=1)
array([[1, 2, 5],
[3, 4, 6]])numpy merge arrays
>>> a = np.array([[1, 2], [3, 4]])
>>> b = np.array([[5, 6]])
>>> np.concatenate((a, b), axis=0)
array([[1, 2],
[3, 4],
[5, 6]])
>>> np.concatenate((a, b.T), axis=1)
array([[1, 2, 5],
[3, 4, 6]])join two numpy 2d array
import numpy as np
a = np.array([[0, 1, 3], [5, 7, 9]])
b = np.array([[0, 2, 4], [6, 8, 10]])
c = np.concatenate((a, b), axis=0)
print(c)
Output :
[[ 0 1 3]
[ 5 7 9]
[ 0 2 4]
[ 6 8 10]]join two numpy arrays
numpy.concatenate([arr1, arr2]) # Joining arr1 and arr2cbind arrays python
np.c_[x,y]np.concatenate
numpy.concatenate((a1, a2, ...), axis)Copyright © 2021 Codeinu
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