numpy.reshape() and numpy.flatten() in Python

Reshape Data

In some occasions, you need to reshape the data from wide to long. You can use the reshape function for this. The syntax is

numpy.reshape(a, newShape, order='C')

Here,

a: Array that you want to reshape

newShape: The new desires shape

Order: Default is C which is an essential row style.

Exampe of Reshape

import numpy as np
e  = np.array([(1,2,3), (4,5,6)])
print(e)
e.reshape(3,2)

Output:

 // Before reshape
[[1 2 3] 
 [4 5 6]]			

//After Reshape
array([[1, 2],       
	[3, 4],       
	[5, 6]])			

Flatten Data

When you deal with some neural network like convnet, you need to flatten the array. You can use flatten(). The syntax is

numpy.flatten(order='C')

Here,

Order: Default is C which is an essential row style.

Exampe of Flatten

e.flatten()			

Output:

array([1, 2, 3, 4, 5, 6])