Dylan Moreland wrote:
> I'm working with some large numarrays of astronomical data (1000 by
> 1000 pixels) that I want to quickly transform into grayscale images
> for use in my wxPython app. I've tried drawing them using canvas
> methods in both PIL and wx, scaling the values from their original
> range to [0, 255] for use as the colors, but this is too slow for my
> application.
have you tried
im.putdata(array, scale, offset)
?
> I see from
>
> http://effbot.org/zone/pil-numpy.htm
>
> That it is possible to directly transform a numarray into an Image,
> but there isn't much documentation about the typecodes involved. How
> would I transform my array into one that, when loaded into PIL,
> displays a range of grays?
map the values to the 0-255 range, turn it into an UnsignedInt8
array, and pass the result to the "array2image" function. this gives
you a grayscale PIL image (mode "L").
</F>
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