Thanks Jae-Joo
That's doing it, thought there might be an internal way within matplotlib,
but I could figure one.
I'm quite confused with the canvas, dpi, ...
Regards Hans
Jae-Joon Lee wrote:
>
> You may use StringIO.
>
> from scipy import *
> from pylab import *
> from PIL import Image
>
> import cStringIO
>
>
> a = arange(16384).reshape(128,128)
>
> f = cStringIO.StringIO()
> imsave(f, a, cmap=cm.summer,vmin=0,vmax=16383, format="png") # you'd
> better set the format explicitly.
> f.reset()
> b = Image.open(f)
> f.close()
>
> IHTH,
>
> -JJ
>
>
> On Tue, Jun 1, 2010 at 5:18 AM, rugspin <piet_par...@web.de> wrote:
>>
>>
>>
>> Angus McMorland-2 wrote:
>>>
>>> On 31 May 2010 23:17, Angus McMorland <amcm...@gmail.com> wrote:
>>>
>>>> On 31 May 2010 19:49, rugspin <piet_par...@web.de> wrote:
>>>>
>>>>>
>>>>> I have a small problem how to convert an image from matplotlib to PIL
>>>>>
>>>>> right now doing somthing like this:
>>>>> ------------------------------------------
>>>>> from scipy import *
>>>>> from pylab import *
>>>>> from PIL import Image
>>>>>
>>>>> a = arange(16384).reshape(128,128)
>>>>> imsave( "test.png", a, cmap=cm.summer,vmin=0,vmax=16383)
>>>>> b = Image.open("test.png" )
>>>>> ------------------------------------------
>>>>>
>>>>
>>>> The Image.fromarray function should do what you want. For example,
>>>>
>>>> import numpy as np # note: use of "from foo import *"
>>>> import Image # is discouraged where possible
>>>>
>>>> a = np.arange(128)[None,:] * np.ones(128)[:,None]
>>>>
>>>
>>> Sorry - I was playing around with a few iterations of this line, and
>>> didn't
>>> provide the most useful one. Your example:
>>>
>>> a = np.arange(128**2).reshape(128,128)
>>>
>>> should also work fine.
>>>
>>>
>>>> b = Image.fromarray(a)
>>>> c = np.asarray(b)
>>>> np.all(c == a)
>>>> -> True
>>>>
>>>> I hope that helps,
>>>>
>>>> Angus.
>>>>
>>>
>>> --
>>> AJC McMorland
>>> Post-doctoral research fellow
>>> Neurobiology, University of Pittsburgh
>>>
>>> ------------------------------------------------------------------------------
>>>
>>>
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>>> Matplotlib-users@lists.sourceforge.net
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>> Thank you Angus
>> but that's not exactly what i was looking for. The fromarray function is
>> very basic, so I would have to take care of all the RGBA of the array.
>> the
>> imshow and imsave functions take care of all that for example adding a
>> colormap. After choosing a reasonable colormap (vmin, vmax, ....) I would
>> like to convert this into a PIL image.
>>
>> Best Regard
>> Hans
>>
>> --
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>>
>>
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