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Python PIL | Image.transpose() method

Last Updated : 17 Jun, 2021
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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.transpose() Transpose image (flip or rotate in 90 degree steps)
 

Syntax: Transpose image (flip or rotate in 90 degree steps)
Parameters
method – One of PIL.Image.FLIP_LEFT_RIGHT, PIL.Image.FLIP_TOP_BOTTOM, PIL.Image.ROTATE_90, PIL.Image.ROTATE_180, PIL.Image.ROTATE_270 or PIL.Image.TRANSPOSE.
Returns type: An Image object.
 


Image Used: 
 


 

Python3
 # Importing Image class from PIL module  from PIL import Image # Opens a image in RGB mode  im = Image.open(r"C:\Users\System-Pc\Desktop\new.jpg") # Size of the image in pixels (size of original 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 original image)  im1 = im.crop((left, top, right, bottom)) newsize = (200, 200) im1 = im1.transpose(Image.FLIP_LEFT_RIGHT) # Shows the image in image viewer  im1.show() 

Output: 
 


Another example:Here the transform parameter are changed. 
Image Used 
 


 

Python3
# Importing Image class from PIL module  from PIL import Image # Opens a image in RGB mode  im = Image.open(r"C:\Users\System-Pc\Desktop\flower1.jpg") # Size of the image in pixels (size of original image)  # (This is not mandatory)  width, height = im.size # Setting the points for cropped image  left = 3 top = height / 2 right = 164 bottom = 3 * height / 2 # Cropped image of above dimension  # (It will not change original image)  im1 = im.crop((left, top, right, bottom)) newsize = (1800, 1800) im1 = im1.transpose(Image.FLIP_TOP_BOTTOM) # Shows the image in image viewer  im1.show() 

Output: 
 


 


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