Reshaping an array in python

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               You have created an array. you want to reshape the array without altering data, this is method for you.

Here, built-in method reshape() is used in Numpy. Let us do this for 1D and 2D array.

Reshaping a 1D array into 2D array:

              This code starts from importing numpy and its object. A single dimensional array is created with elements.

The array is reshaped with 3 rows and 2 columns by the use of reshape() function.

Original array and reshaped array is printed as output.

Python Code:

import numpy as np1

# Create a 1D array with elements

s_arr = np1.array([11, 22, 33, 44, 55, 66])

# Let us Reshape into 3 rows and 2 columns

reshaped_arr = s_arr.reshape(3, 2)

print("Original array:", s_arr)

print("Reshaped array:\n", reshaped_arr)

Output:

This is the output for the above program

Original array: [11 22 33 44 55 66]

Reshaped array:

 [[11 22]

 [33 44]

 [55 66]]

Note: if you want to change row into column, use reshape(row value,-1).

Next one is 1D to 3D.

Reshaping a 1D array into 3D array:

              This program creates a single dimensional array. Reshape it into three Dimensional array. It uses Numpy for this purpose.

Python Code:

#imports the numpy object np1

import numpy as np1

# Create a 1D array with elements

s_arr = np1.array([11, 22, 33, 44, 55, 66, 77, 88, 99, 100])

# Let us Reshape

reshaped_arr =np1. arange(1, 10).reshape(3, 3)

#print the original array and reshaped array

print("Original array:", s_arr)

print("Reshaped array:\n", reshaped_arr)

Output:

The output is given below..

Original array: [ 11  22  33  44  55  66  77  88  99 100]

Reshaped array:

 [[1 2 3]

 [4 5 6]

 [7 8 9]]

That’s all. This blog post explains you about reshaping the array elements with altering the data in python. Hope, this is useful to you. Keep coding!!!

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