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Python PIL | Image.resize() method
  • Last Updated : 17 Jul, 2019

PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. The Image module provides a class with the same name which is used to represent a PIL image. The module also provides a number of factory functions, including functions to load images from files, and to create new images.

Image.resize() Returns a resized copy of this image.

Syntax: Image.resize(size, resample=0)
Parameters:

size – The requested size in pixels, as a 2-tuple: (width, height).
resample – An optional resampling filter. This can be one of PIL.Image.NEAREST (use nearest neighbour), PIL.Image.BILINEAR (linear interpolation), PIL.Image.BICUBIC (cubic spline interpolation), or PIL.Image.LANCZOS (a high-quality downsampling filter). If omitted, or if the image has mode “1” or “P”, it is set PIL.Image.NEAREST.

Returns type: An Image object.



Image Used:




   
# Improting Image class from PIL module 
from PIL import Image 
  
# Opens a image in RGB mode 
im = Image.open(r"C:\Users\System-Pc\Desktop\ybear.jpg"
  
# Size of the image in pixels (size of orginal image) 
# (This is not mandatory) 
width, height = im.size 
  
# Setting the points for cropped image 
left = 4
top = height / 5
right = 154
bottom = 3 * height / 5
  
# Cropped image of above dimension 
# (It will not change orginal image) 
im1 = im.crop((left, top, right, bottom))
newsize = (300, 300)
im1 = im1.resize(newsize)
# Shows the image in image viewer 
im1.show() 

Output:

Another example:Here we use the different newsize value.




# Improting Image class from PIL module 
from PIL import Image 
  
# Opens a image in RGB mode 
im = Image.open(r"C:\Users\System-Pc\Desktop\ybear.jpg"
  
# Size of the image in pixels (size of orginal image) 
# (This is not mandatory) 
width, height = im.size 
  
# Setting the points for cropped image 
left = 6
top = height / 4
right = 174
bottom = 3 * height / 4
  
# Cropped image of above dimension 
# (It will not change orginal image) 
im1 = im.crop((left, top, right, bottom))
newsize = (200, 200)
im1 = im1.resize(newsize)
# Shows the image in image viewer 
im1.show() 

Output:

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