Wand transform() function in Python

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) 