numpy.reshape() in Python

numpy.reshape() in Python

The numpy.reshape() function gives a new shape to an array without changing its data.

Syntax

numpy.reshape(a, newshape, order='C')

Parameter

The numpy.reshape() method consists of three parameters, which are as follows:

array : It represents our input array

shape : This represents int value or tuples of int.

order : This parameter can be either C_contiguous or F_contiguous where C order operates row-rise on the array and  F order operates column-wise operations.          

Return

This function returns an array which is reshaped without changing the data.

Example 1

# Python Program explaining
# numpy.reshape() function
import numpy as np
array = np.arange(6)
print("Array Value: \n", array)
# array reshaped with 3 rows and 2 columns
array = np.arange(6).reshape(3, 2)
print("Array reshaped with 3 rows and 2 columns : \n", array)
# array reshaped with 2 rows and 3 columns
array = np.arange(6).reshape(2 ,3)
print("Array reshaped with 2 rows and 3 columns : \n", array)

Output

Array Value:
[0 1 2 3 4 5]
Array reshaped with 3 rows and 2 columns :
[[0 1]
[2 3]
[4 5]]
Array reshaped with 2 rows and 3 columns :
[[0 1 2]
[3 4 5]]