>> 6 : ax.images
>> 7 : im = imshow(data)
>> 8 : ax.images
>> 9 : ax.images.remove[0]
>> 10: del ax.images.remove[0]
>
> Both of these lines are wrong. You either need to do
>
> ax.images.remove(0) # note the parens, not square brackets
>
> or
>
> del ax.images[0]
*doh*, of course, me stupid. Sorry, it's very very hot here. :)
>
> Also, you are mixing API calls, eg
>
> ax = fig.add_subplot(111)
>
> with pyplot call, eg
>
> im = imshow(data)
>
> While this isn't a bug in this case, it is not good form. The pyplot
> calls manage stateful information like current image and current axes,
> and you are safer using all pyplot or all api. So for pure pyplot:
>
> subplot(111)
> imshow(data)
>
> or pure API:
>
> ax = fig.add_subplot(111)
> ax.imshow(data)
Yeah, sorry, i thought it wouldn't matter, as i did not need an image
object for this demo.
>
>
>> 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.
>
>
> I don't see this -- try using gc.collect() if you think you see a leak
> and use cbook.report_memory to get a measure of consumed memory. If
> you still think you have a leak, try and build a complete
> free-standing script that replicates it.
I only can reproduce it inside a pylab session, as you see here:
IPython 0.10 -- An enhanced Interactive Python.
? -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help -> Python's own help system.
object? -> Details about 'object'. ?object also works, ?? prints more.
Welcome to pylab, a matplotlib-based Python environment.
For more information, type 'help(pylab)'.
In [1]: import gc
In [2]: gc.collect?
Type: builtin_function_or_method
Base Class: <type 'builtin_function_or_method'>
String Form: <built-in function collect>
Namespace: Interactive
Docstring:
collect([generation]) -> n
With no arguments, run a full collection. The optional argument
may be an integer specifying which generation to collect. A ValueError
is raised if the generation number is invalid.
The number of unreachable objects is returned.
In [3]: import matplotlib.cbook as cbook
In [4]: data = ones((1500,1500,3))
In [5]: imshow(data)
Out[5]: <matplotlib.image.AxesImage object at 0x1c57610>
In [6]: ax =gca()
In [7]: cbook.report_memory()
Out[7]: 175384
In [8]: hold(False)
In [9]: len(ax.images)
Out[9]: 1
In [10]: imshow(data)
Out[10]: <matplotlib.image.AxesImage object at 0x1416430>
In [11]: cbook.report_memory()
Out[11]: 254624
In [12]: len(ax.images)
Out[12]: 1
In [13]: gc.collect()
Out[13]: 12
Don't know what to do with the 12 though?
If I do the same with a script like this:
from matplotlib.pylab import *
import matplotlib.cbook as cbook
data = ones((1500,1500,3))
imshow(data)
ax = gca()
print cbook.report_memory()
print len(ax.images)
hold(False)
imshow(data)
print cbook.report_memory()
print len(ax.images)
imshow(data)
print cbook.report_memory()
print len(ax.images)
imshow(data)
print cbook.report_memory()
print len(ax.images)
imshow(data)
print cbook.report_memory()
print len(ax.images)
This is what happens:
81920
1
82028
1
82128
1
82128
1
82132
1
So it's fine here.
So what's wrong with my ipython/pylab? :(
BR,
Michael
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