Transformation

Note

The image transform.jpg used in this docs is taken by Megan Trace, and licensed under CC BY-NC 2.0. It can be found the original photography from Flickr.

Rotation

New in version 0.1.8.

Image object provides a simple method to rotate images: rotate(). It takes a degree which can be 0 to 359. (Actually you can pass 360, 361, or more but it will be the same to 0, 1, or more respectively.)

For example, where the given image transform.jpg:

The below code makes the image rotated 90° to right:

from wand.image import Image

with Image(filename='transform.jpg') as image:
    with image.clone() as rotated:
        rotated.rotate(90)
        rotated.save(filename='transform-rotated-90.jpg')

The generated image transform-rotated-90.jpg looks like:

If degree is not multiples of 90, the optional parameter background will help (its default is transparent):

from wand.color import Color
from wand.image import Image

with Image(filename='transform.jpg') as image:
    with image.clone() as rotated:
        rotated.rotate(135, background=Color('rgb(229,221,112)'))
        rotated.save(filename='transform-rotated-135.jpg')

The generated image transform-rotated-135.jpg looks like:

Flip and flop

New in version 0.3.0.

You can make a mirror image by reflecting the pixels around the central x- or y-axis. For example, where the given image transform.jpg:

The following code flips the image using Image.flip() method:

from wand.image import Image

with Image(filename='transform.jpg') as image:
    with image.clone() as flipped:
        flipped.flip()
        flipped.save(filename='transform-flipped.jpg')

The image transform-flipped.jpg generated by the above code looks like:

As like flip(), flop() does the same thing except it doesn’t make a vertical mirror image but horizontal:

from wand.image import Image

with Image(filename='transform.jpg') as image:
    with image.clone() as flopped:
        flopped.flop()
        flopped.save(filename='transform-flopped.jpg')

The image transform-flopped.jpg generated by the above code looks like: