Wand transform() function in Python

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In order to resize and crop an image at the same time transform() function is used in wand. First crop operation is performed and then resize operation.

Syntax : wand.image.transform(crop=”, resize=”)

Parameters :

Parameter Input Type Description

crop basestring A geometry string defining a subregion of the image to crop to

resize basestring A geometry string defining the final size of the image

Parameter	Input Type	Description
crop	basestring	A geometry string defining a subregion of the image to crop to
resize	basestring	A geometry string defining the final size of the image

Input Image:

Example #1:

Let us take an image crop it in dimensions 200×200 and then rescale it to 400×400 pixels.

# Import Image from wand.image module 
from wand.image import Image 
  
# Import display to display final image 
from wand.display import display 
  
# Read image using Image function 
with Image(filename ='koala.jpeg') as img: 
  
    # using transform() function 
    img.transform('200x200', '200 %') 
  
    # Saving image 
    img.save(filename ='transform.jpeg') 
  
    # display image 
    display(img) 

Output:

Example #2: Let us take an image crop 50 % of all four corners.

# Import Image from wand.image module 
from wand.image import Image 
  
# Import display to display final image 
from wand.display import display 
  
# Read image using Image function 
with Image(filename ='koala.jpeg') as img: 
  
    # using transform() function 
    img.transform('50 %') 
  
    # Saving image 
    img.save(filename ='transform1.jpeg') 
  
    # display image 
    display(img) 

Output:

Example #3: Scale height of source image to 200px and preserve aspect ratio.

# Import Image from wand.image module 
from wand.image import Image 
  
# Import display to display final image 
from wand.display import display 
  
# Read image using Image function 
with Image(filename ='koala.jpeg') as img: 
  
    # using transform() function 
    img.transform(resize ='x200') 
  
    # Saving image 
    img.save(filename ='transform3.jpeg') 
  
    # display image 
    display(img) 