On Thu, Jul 5, 2012 at 12:17 PM, Benjamin Root wrote:
>
> Actually, looking at Fabrice's code, you might be able to get it to be
> slightly faster. Lines 39-41 should be protected by a "if i == 0"
> statement because it only needs to be done once. Furthermore, you might
> get some more improvem
On Thu, Jul 5, 2012 at 1:55 PM, Gökhan Sever wrote:
> And you might get back more memory if you didn't have to have all the data
>> in memory at once, but that may or may not help you. The only other
>> suggestion I can make is to attempt to eliminate the overhead in the inner
>> loop. Essentia
>
>
>> 38 * 16 = 608
> 80 / 608 = 0.1316 seconds per plot
>
> At this point, I doubt you are going to get much more speed-ups. Glad to
> be of help!
>
> Fabrice -- Good suggestion! I should have thought of that given how much
> I use that technique in doing animation.
>
> Ben Root
>
>
I am includ
>
> And you might get back more memory if you didn't have to have all the data
> in memory at once, but that may or may not help you. The only other
> suggestion I can make is to attempt to eliminate the overhead in the inner
> loop. Essentially, I would try making a single figure and a single
>
On Thu, Jul 5, 2012 at 1:45 PM, Gökhan Sever wrote:
>
>
> On Thu, Jul 5, 2012 at 11:15 AM, Fabrice Silva wrote:
>
>>
>>
>> > At end of the outer loop, instead of closing the figure, you should
>> > call "remove()" for each plot element you made. Essentially, as you
>> > loop over the inner loop,
On Thu, Jul 5, 2012 at 11:15 AM, Fabrice Silva wrote:
>
>
> > At end of the outer loop, instead of closing the figure, you should
> > call "remove()" for each plot element you made. Essentially, as you
> > loop over the inner loop, save the output of the plot() call to a
> > list, and then when d
> At end of the outer loop, instead of closing the figure, you should
> call "remove()" for each plot element you made. Essentially, as you
> loop over the inner loop, save the output of the plot() call to a
> list, and then when done with those plots, pop each element of that
> list and call "r
On Thu, Jul 5, 2012 at 11:36 AM, Gökhan Sever wrote:
>
>
> On Thu, Jul 5, 2012 at 8:45 AM, Gökhan Sever wrote:
>
>> On Thu, Jul 5, 2012 at 7:29 AM, Benjamin Root wrote:
>>
>>>
>>>
>>> On Wed, Jul 4, 2012 at 1:17 PM, Gökhan Sever wrote:
>>>
Hello,
I am working on creating some dist
On Thu, Jul 5, 2012 at 8:45 AM, Gökhan Sever wrote:
> On Thu, Jul 5, 2012 at 7:29 AM, Benjamin Root wrote:
>
>>
>>
>> On Wed, Jul 4, 2012 at 1:17 PM, Gökhan Sever wrote:
>>
>>> Hello,
>>>
>>> I am working on creating some distribution plots to analyze cloud
>>> droplet and drop features. You ca
On Thu, Jul 5, 2012 at 7:29 AM, Benjamin Root wrote:
>
>
> On Wed, Jul 4, 2012 at 1:17 PM, Gökhan Sever wrote:
>
>> Hello,
>>
>> I am working on creating some distribution plots to analyze cloud droplet
>> and drop features. You can see one such plot at
>> http://atmos.uwyo.edu/~gsever/data/rf06
On Thu, Jul 5, 2012 at 8:12 AM, David Kremer wrote:
> Hello,
>
> I know how one can increase the font size in the xlabel and ylabel
> fields. I use the methode presented in:
>
>
> http://matplotlib.sourceforge.net/examples/pylab_examples/dannys_example.html
>
> But I don't know how to increase the
On Wed, Jul 4, 2012 at 1:17 PM, Gökhan Sever wrote:
> Hello,
>
> I am working on creating some distribution plots to analyze cloud droplet
> and drop features. You can see one such plot at
> http://atmos.uwyo.edu/~gsever/data/rf06_1second/rf06_belowcloud_SurfaceArea_1second.pdf
> This file conta
Hello,
I know how one can increase the font size in the xlabel and ylabel
fields. I use the methode presented in:
http://matplotlib.sourceforge.net/examples/pylab_examples/dannys_example.html
But I don't know how to increase the font size for the numbers labelling
the xticks or the yticks, and
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Your files do not seem to be readable:
http://atmos.uwyo.edu/~gsever/data/matplotlib/test_speed.py
http://atmos.uwyo.edu/~gsever/data/matplotlib/test_speed.pdf
Nicolas
On Jul 4, 2012, at 19:17 , Gökhan Sever wrote:
> Hello,
>
> I am working on creating some distribution plots to analyze cl
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