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How to use image resize() function in pillow

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by vinitha@openweaver.com dot icon Updated: Sep 6, 2023

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Python Pillow (PIL) is a popular open-source library for working with images in Python. It provides image editing capabilities, such as image processing and image manipulation. 

 

People use the Python PIL library to resize, crop, and rotate images. The Python Pillow library uses the resize() function to change the dimension of an image file. It allows you to resize an image while preserving its aspect ratio. The function takes a new size as an argument and returns a new resized image.   

 

The resize process from the PIL module creates a new resized copy of the image object when you use it. The original file remains unchanged.   

 

The Image module in the Python PIL provides a set of functions for working with image data. Regarding resizing images, the image module offers the resize function. It enables you to adjust the dimensions of an image while maintaining its aspect ratio. Here's an overview of how the resize method works:   

  • Opening an Image   
  • Calculating New Dimensions   
  • Resizing the Image   
  • Saving the output Image   

 

In conclusion, the Pillow resize () function balances simplicity and functionality. It's ideal for various use cases, from basic to advanced image resizing. It maintains the integrity of your original-size images.   

Fig: Preview of the output that you will get on running this code from your IDE

Code

In this solution we are using pillow library

Getting error on resize img using pillow and python3.8

PythondotLines of Code : 8dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
from PIL import Image
imgwidth = 800
img = Image.open('img/2.jpeg')
concat = float(imgwidth/float(img.size[0]))
height = int((float(img.size[1])*float(concat)))
img = img.resize((imgwidth,height), Image.ANTIALIAS)
img.save('output.jpg')

Instructions

Follow the steps carefully to get the output easily.


  1. Download and Install the PyCharm Community Edition on your computer.
  2. Open the terminal and install the required libraries with the following commands.
  3. Install pillow - pip install pillow
  4. Create a new Python file on your IDE.
  5. Copy the snippet using the 'copy' button and paste it into your python file.
  6. Run the current file to generate the output.


I hope you found this useful.


I found this code snippet by searching for ' How to use image resize () function in pillow ' in Kandi. You can try any such use case!

Environment tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. PyCharm Community Edition 2023.1
  2. The solution is created in Python 3.11.1 Version
  3. pillow 9.5.0 Version


Using this solution, we can able to use image.resize() function in pillow with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to use image.resize() function in pillow.

Dependency library

Pillowby python-pillow

Python doticonstar image 10903 doticonVersion:9.5.0doticon
License: Others (Non-SPDX)

Python Imaging Library (Fork)

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            Pillowby python-pillow

            Python doticon star image 10903 doticonVersion:9.5.0doticon License: Others (Non-SPDX)

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                      You can search for any dependent library on kandi like ' pillow '.

                      FAQ:  

                      1. What is the Python Pillow library, and how can it help with image editing capabilities?  

                      The Python Pillow library is an open-source image processing and manipulation library. It builds upon the original Python Imaging Library. It provides a rich set of functions and methods for working with images. The Pillow can change images and also edit and manipulate them, both simple and complex tasks.  

                       

                      Pillow offers various modules and functions that can help with image editing capabilities:  

                      • Opening and Saving Images  
                      • Image Resizing  
                      • Cropping and Rotating  
                      • Filter Effects  

                        

                      2. How does the Image module in Python PIL work when resizing images?  

                      The Image module in the PIL library provides the interface for working with images. When you use the Image module, you can use the resize() method to adjust the dimensions of an image. Here's a breakdown of how the Image module works when resizing images:  

                      • Opening an Image  
                      • Calculating New Dimensions  
                      • Resizing the Image  
                      • Saving the Resized Image  

                       

                      3. What are some advantages of using a Python package to resize images?  

                      Using a Python package like Pillow makes resizing and manipulating images easier. Here are some of the key benefits:  

                      • Automation and Efficiency  
                      • Consistency  
                      • Maintaining Aspect Ratio  
                      • Quality Control  
                      • Batch Processing  

                       

                      4. What types of image data can the Python Pillow library process?  

                      The Python Pillow library can process various image data types and formats. It's a versatile library that can handle various image types and operations. The Pillow library can process the following types of image data. 

                      • Raster Images  
                      • Common Image Formats  
                      • Color Modes  
                      • Transparency  
                      • Animated Images  

                       

                      5. Is a resized copy of an image created when using this method, or is the original file modified?  

                      The resize () method from the Python Pillow library (PIL) creates a new resized image copy when you use it. The original image file remains unchanged. This behavior is important for preserving the integrity of your original images.  

                       

                      Here's a breakdown of what happens:  

                      • Opening the Original Image  
                      • Creating a Resized Copy  
                      • Saving the Resized Copy  

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