Appending arrays with NumPy

Question

Using NumPy, I want to create an n-by-2 array, by starting with an empty array, and adding on some 1-by-2 arrays.

Here's what I have tried so far:

x = np.array([1, 2])
y = np.array([3, 4])
z = np.array([])
z = np.append(z, x)
z = np.append(z, y)

However, this gives me:

z = [1, 2, 3, 4]

What I want is:

z = [[1, 2], [3, 4]]

How can I achieve this?

Leb · Accepted Answer · 2015-10-15 19:22:19Z

2

import numpy as np

x = np.array([1, 2])
y = np.array([3, 4])
z = np.append([x],[y], axis=0)

print(z)

>>> [[1 2]
     [3 4]]

No need to create the array before appending, axis=0 will allow you to append row wise.

The previous works if z is not an array already. From then on you specify z as the original array and append the other array as such:

t = np.array([5, 6])
z = np.append(z,[t], axis=0)
print(z)

[[1 2]
 [3 4]
 [5 6]]

answered Oct 15, 2015 at 19:14

Leb

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Comments

Kasravnd · Accepted Answer · 2015-10-15 19:14:50Z

1

You can simply use np.array :

>>> np.array((x,y))
array([[1, 2],
       [3, 4]])

answered Oct 15, 2015 at 19:14

Kasravnd

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