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Merge pull request #7049 from radarhere/numpy

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Hugo van Kemenade 2023-03-31 13:40:20 +03:00 committed by GitHub
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src/PIL/Image.py
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@ -3031,21 +3031,29 @@ def frombuffer(mode, size, data, decoder_name="raw", *args):
def fromarray(obj, mode=None): def fromarray(obj, mode=None):
""" """
Creates an image memory from an object exporting the array interface Creates an image memory from an object exporting the array interface
(using the buffer protocol). (using the buffer protocol)::
from PIL import Image
import numpy as np
a = np.zeros((5, 5))
im = Image.fromarray(a)
If ``obj`` is not contiguous, then the ``tobytes`` method is called If ``obj`` is not contiguous, then the ``tobytes`` method is called
and :py:func:`~PIL.Image.frombuffer` is used. and :py:func:`~PIL.Image.frombuffer` is used.
If you have an image in NumPy:: In the case of NumPy, be aware that Pillow modes do not always correspond
to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
32-signed integer pixels and 32-bit floating point pixels.
Pillow images can also be converted to arrays::
from PIL import Image from PIL import Image
import numpy as np import numpy as np
im = Image.open("hopper.jpg") im = Image.open("hopper.jpg")
a = np.asarray(im) a = np.asarray(im)
Then this can be used to convert it to a Pillow image:: When converting Pillow images to arrays however, only pixel values are
transferred. This means that P and PA mode images will lose their palette.
im = Image.fromarray(a)
:param obj: Object with array interface :param obj: Object with array interface
:param mode: Optional mode to use when reading ``obj``. Will be determined from :param mode: Optional mode to use when reading ``obj``. Will be determined from