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Python NumPy concatenate Function Example when axis equal to 1

# welcome to softhunt.net
# Python program explaining
# numpy.concatenate() function

# importing numpy as np
import numpy as np

arr1 = np.array([[1, 2], [5, 6]])
arr2 = np.array([[3, 4], [7, 8]])

softhunt = np.concatenate((arr1, arr2), axis = 1)

print (softhunt)

Comment

Python NumPy concatenate Function Example when axis equal to 0

# welcome to softhunt.net
# Python program explaining
# numpy.concatenate() function

# importing numpy as np
import numpy as np

arr1 = np.array([[1, 2], [3, 4]])
arr2 = np.array([[4, 3], [2, 1]])

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

print (softhunt)

Comment

Python NumPy concatenate Function Example when axis equal to none

# welcome to softhunt.net
# Python program explaining
# numpy.concatenate() function

# importing numpy as np
import numpy as np

arr1 = np.array([[1, 2], [3, 4]])
arr2 = np.array([[5, 6], [7, 8]])

softhunt = np.concatenate((arr1, arr2), axis = None)

print (softhunt)

Comment

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Python NumPy concatenate Function Example when axis equal to 1

Python NumPy concatenate Function Example when axis equal to 0

Python NumPy concatenate Function Example when axis equal to none

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