np.concatenate((np.zeros((3,3), dtype=int), arr), axis=1)
array([[0, 0, 0, 1, 2, 3],
[0, 0, 0, 4, 5, 6],
[0, 0, 0, 7, 8, 9]])an_array = np.append(an_array, new_column, axis=1)b = np.insert(a, insert_index, values=a[:,2], axis=1)
import numpy as np
N = 10
a = np.random.rand(N,N)
b = np.zeros((N,N+1))
b[:,:-1] = a
Returns
-------
append : ndarray
A copy of `arr` with `values` appended to `axis`. Note that `append`
does not occur in-place: a new array is allocated and filled. If
`axis` is None, `out` is a flattened array.