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?
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]]
You can simply use np.array
:
>>> np.array((x,y))
array([[1, 2],
[3, 4]])
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