On 2010-07-14 01:46:49 +0200, John Hunter said:
> On Mon, Jul 12, 2010 at 5:06 PM, K.-Michael Aye
> <[email protected]> wrote:
>> On 2010-07-12 23:17:19 +0200, John Hunter said:
>>
>>> On Mon, Jul 12, 2010 at 4:06 PM, K.-Michael Aye
>>> <[email protected]> wrote:
>>>> Dear all,
>>>>
>>>> I'm not sure if this is by design or a problem:
>
> It's by design and is not a leak. matplotlib supports multiple images
> on the same axes, and can composite multiple images that overlap the
> same space using transparency, so each call to imshow is adding
> additional data to the axes.
Understood, and of course quite useful. But see below.
> You can inspect the ax.images list to
> see the list of images is growing.
>
> If you have an Image object and want to remove it from the Axes, call
>
> im.remove()
This worked.
> or you can manipulate the list of ax.images directly, eg
>
> del ax.images[0]
I tried this and got this error message:
In [10]: del ax.images.remove[0]
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/Users/aye/Documents/workspace/pyrise_saver_clone/src/<ipython console>
in <module>()
TypeError: 'builtin_function_or_method' object does not support item deletion
Here my history of that session:
1 : from fan_finder import get_data
2 : data = get_data(2)
3 : fig = figure()
4 : ax = fig.add_subplot(111)
5 : im = imshow(data)
6 : ax.images
7 : im = imshow(data)
8 : ax.images
9 : ax.images.remove[0]
10: del ax.images.remove[0]
11: hist%
12: _ip.magic("hist ")
data is a np.array
I found another funny thing:
Even so i set hold(False), and the ax.images array does not increase,
the memory consumption increases.
I used these commands:
3 : fig = figure()
4 : ax = fig.add_subplot(111)
5 : imshow(data)
6 : ax.images
7 : hold(False)
8 : imshow(data)
9 : ax.images
At step 6 I had 1 image in the ax.images array, at step 9 still only 1,
but RealMem went up the approx same amount between 7 and 8 then it did
between 4 and 5.
>
> or if you have a single image and want to update the data in it, you can do
>
> im = ax.imshow(something)
> im.set_array(newdata)
I am using this way in a GUI I programmed and works very well there.
BR,
Michael
>
> to update the array in the existing image.
>
> JDH
>
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