Example 1: numpy append number to array
import numpy as np
a = np.array([1, 2, 3])
newArray = np.append(a, [10, 11, 12])
Example 2: append value to numpy array
x = np.random.randint(2, size=10)
x = np.append(x, 2)
Example 3: np append row
A= [[1, 2, 3], [4, 5, 6]]
np.append(A, [[7, 8, 9]], axis=0)
>> array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
#or
np.r_[A,[[7,8,9]]]
Example 4: np array append
>>> import numpy as np
>>> np.append([[0, 1, 2], [3, 4, 5]],[[6, 7, 8]], axis=0)
array([[0, 1, 2],
[3, 4, 5],
[6, 7, 8]])
Example 5: np.append
>>> np.append([1, 2, 3], [[4, 5, 6], [7, 8, 9]])
array([1, 2, 3, ..., 7, 8, 9])
Example 6: add item to numpy array python
>>> np.append([[1, 2, 3], [4, 5, 6]], [[7, 8, 9]], axis=0)
array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
>>> np.append([[1, 2, 3], [4, 5, 6]], [7, 8, 9], axis=0)
Traceback (most recent call last):
...
ValueError: all the input arrays must have same number of dimensions, but
the array at index 0 has 2 dimension(s) and the array at index 1 has 1
dimension(s)