In this chapter, we will discuss about NumPy – append. This function adds values at the end of an input array. The append operation is not in place, a new array is allocated. Also, the dimensions of the input arrays must match otherwise ValueError will be generated.
The function takes the following parameters.
numpy.append(arr, values, axis)
Where,
Sr.No. | Parameter & Description |
---|---|
1 | arrInput array |
2 | values to be appended to arr. It must be of the same shape as of arr (excluding axis of appending) |
3 | axisThe axis along which append operation is to be done. If not given, both parameters are flattened |
Example Of NumPy append
import numpy as np a = np.array([[1,2,3],[4,5,6]]) print 'First array:' print a print '\n' print 'Append elements to array:' print np.append(a, [7,8,9]) print '\n' print 'Append elements along axis 0:' print np.append(a, [[7,8,9]],axis = 0) print '\n' print 'Append elements along axis 1:' print np.append(a, [[5,5,5],[7,8,9]],axis = 1)
Its output would be as follows −
First array: [[1 2 3] [4 5 6]] Append elements to array: [1 2 3 4 5 6 7 8 9] Append elements along axis 0: [[1 2 3] [4 5 6] [7 8 9]] Append elements along axis 1: [[1 2 3 5 5 5] [4 5 6 7 8 9]]
Next Topic – Click Here
Pingback: NumPy Array Manipulation - Adglob Infosystem Pvt Ltd
Pingback: NumPy - resize - Adglob Infosystem Pvt Ltd