I have the following Array
a = np.array([1, 2, 3, 4, 9, 8, 7, 6])
now I have to add 2/12/22 zeros to add it to a Matrix with 10/20/30 columns.
It should look like that:
a = np.array([1, 2, 3, 4, 9, 8, 7, 6]) ->
a = np.array([1, 2, 3, 4, 0, 0, ..., 0, 0, 9, 8, 7, 6])
Im using np.pad to fill with zeros on the borders of an array, but is there a way to do it the other way around?
You may combine the hstack function with the slicing of the original matrix, so you can stack the beginning of the matrix, the zeroes, and the remaining of the matrix:
a = np.array([1, 2, 3, 4, 9, 8, 7, 6])
result = np.hstack((a[0:4], np.zeros(12), a[4:]))
This is mission for numpy.insert function, example (2 zeros):
a = np.array([1, 2, 3, 4, 9, 8, 7, 6])
a = np.insert(a,4,np.zeros(2))
print(a) #prints [1 2 3 4 0 0 9 8 7 6]
Explanation: you can read that insert as: get array a, add beyond 4th element: 2 zeros.
