numpy insert

numpy.insert(array, object, values, axis = None)

b = a.flatten()
>>> b
array([1, 1, 2, 2, 3, 3])
>>> np.insert(b, [2, 2], [5, 6])
array([1, 1, 5, ..., 2, 3, 3])

>>> np.add(1.0, 4.0)
5.0
>>> x1 = np.arange(9.0).reshape((3, 3))
>>> x2 = np.arange(3.0)
>>> np.add(x1, x2)
array([[  0.,   2.,   4.],
       [  3.,   5.,   7.],
       [  6.,   8.,  10.]])

# welcome to softhunt.net
# Python Program illustrating
# numpy.insert()

import numpy as np

#Working on 1D
arr = np.arange(5)
print("1D arr : \n", arr)
print("Shape : ", arr.shape)

# value = 9
# index = 1
# Insertion before first index
a = np.insert(arr, 1, 9)
print("\nArray after insertion : ", a)
print("Shape : ", a.shape)


# Working on 2D array
arr = np.arange(12).reshape(3, 4)
print("\n\n2D arr : \n", arr)
print("Shape : ", arr.shape)

a = np.insert(arr, 1, 9, axis = 1)
print("\nArray after insertion : \n", a)
print("Shape : ", a.shape)