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Added release notes for #8330

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Andrew Murray 2025-04-01 19:10:11 +11:00
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docs/releasenotes/11.2.0.rst
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@ -81,6 +81,28 @@ DXT5, BC2, BC3 and BC5 are supported::
Other Changes Other Changes
============= =============
Arrow support
^^^^^^^^^^^^^
`Arrow <https://arrow.apache.org/>`__ is an in-memory data exchange format that is the
spiritual successor to the NumPy array interface. It provides for zero-copy access to
columnar data, which in our case is ``Image`` data.
To create an image with zero-copy shared memory from an object exporting the
arrow_c_array interface protocol::
from PIL import Image
import pyarrow as pa
arr = pa.array([0]*(5*5*4), type=pa.uint8())
im = Image.fromarrow(arr, 'RGBA', (5, 5))
Pillow images can also be converted to Arrow objects::
from PIL import Image
import pyarrow as pa
im = Image.open('hopper.jpg')
arr = pa.array(im)
Reading and writing AVIF images Reading and writing AVIF images
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^