> It seems that setting `interpolation='none'` is significantly slower than
> setting it to 'nearest' (or even 'bilinear'). On supported backends (e.g.
> any Agg backend) the code paths for 'none' and 'nearest' are different:
> 'nearest' gets passed to Agg's interpolation routine, whereas 'none' do
On Thu, May 24, 2012 at 9:14 AM, Sergi Pons Freixes
wrote:
> On Wed, May 23, 2012 at 6:27 PM, Tony Yu wrote:
> >
> > I'm not sure what you mean by "normalize the values to an appropriate
> number
> > of bits", but I don't think setting `vmin` or `vmax` will change the data
> > type of the image.
On Wed, May 23, 2012 at 6:27 PM, Tony Yu wrote:
>
> I'm not sure what you mean by "normalize the values to an appropriate number
> of bits", but I don't think setting `vmin` or `vmax` will change the data
> type of the image. So if you have 64-bit floating point images (100+ Mb per
> image), then
On Wed, May 23, 2012 at 9:04 AM, Sergi Pons Freixes
wrote:
> On Wed, May 23, 2012 at 11:00 AM, Guillaume Gay
> wrote:
> > Hello
> >
> >
> > What is the size of a single image file? If they are very big, it is
> > better to do everything from processing to ploting at once for each file.
>
> As sta
Le 23/05/2012 15:04, Sergi Pons Freixes a écrit :
> On Wed, May 23, 2012 at 11:00 AM, Guillaume Gay
> wrote:
>> Hello
>>
>>
>> What is the size of a single image file? If they are very big, it is
>> better to do everything from processing to ploting at once for each file.
> As stated below, each
On Wed, May 23, 2012 at 11:00 AM, Guillaume Gay
wrote:
> Hello
>
>
> What is the size of a single image file? If they are very big, it is
> better to do everything from processing to ploting at once for each file.
As stated below, each image is single-channel, of 4600x3840 pixels. As
you can see
Hello
What is the size of a single image file? If they are very big, it is
better to do everything from processing to ploting at once for each file.
Le 23/05/2012 10:11, Sergi Pons Freixes a écrit :
> I'm plotting several images at once, sharing axes, because I use it
> for exploratory purpos
I'm plotting several images at once, sharing axes, because I use it
for exploratory purposes. Each image is the same satellite image at
different dates. I'm experimenting a slow response from matplotlib
when zooming and panning, and I would like to ask for any tips that
could speed up the process.
