Here is how am solving this problem. It isn't terribly fast either, but it works for me. I wrote something with pygame that was faster, but it had its own set of problems.
···
---
import numpy as np
import pylab
class plotter:
def __init__(self, im, i=0):
self.im = im
self.i = i
self.vmin = im.min()
self.vmax = im.max()
self.fig = pylab.figure()
pylab.gray()
self.ax = self.fig.add_subplot(111)
self.draw()
self.fig.canvas.mpl_connect('key_press_event',self.key)
def draw(self):
if self.im.ndim is 2:
im = self.im
if self.im.ndim is 3:
im = self.im[...,self.i]
self.ax.set_title('image {0}'.format(self.i))
pylab.show()
self.ax.imshow(im, vmin=self.vmin, vmax=self.vmax, interpolation=None)
def key(self, event):
old_i = self.i
if event.key=='right':
self.i = min(self.im.shape[2]-1, self.i+1)
elif event.key == 'left':
self.i = max(0, self.i-1)
if old_i != self.i or old_j != self.j:
self.draw()
self.fig.canvas.draw()
def show(im, i=0):
plotter(im, i)
On 08/17/2011 01:26 PM, Keith Hughitt wrote:
I'm also looking into a similar issue, and would be interested to see
what approaches others have taken.
Has anyone found a good framework-independent solution?
Keith
On Wed, Aug 10, 2011 at 5:15 PM, David Just <Just.David@…3721… > <mailto:Just.David@…3721…>> wrote:
I have an array of images stored as an array of numpy arrays. I
need to be able to efficiently scroll through that set of images.
My first attempt at doing this goes something like this:
--init--
self.ax <http://self.ax> = pyplot.imshow(imgdta[0],
interpolation='spline36', cmap=cm.gray, picker=True) # draw the
plot @UndefinedVariable
pyplot.axes().set_axis_off()
self.fig = self.ax.get_figure()
self.canvas = FigureCanvasGTKAgg(self.fig)
--onscroll--
self.ax.set_array(imdta[n]) # 0 < n < num_images
self.canvas.draw()
This method of changing the image data does not seem to be very
preferment. It takes ~.25 seconds to go from one image to the next.
Can anybody suggest a faster way? This also ends up in a canvas
that’s much larger than I need, is there a better way to define my
view area?
Thank you,
Dave.
------------------------------------------------------------------------------
uberSVN's rich system and user administration capabilities and model
configuration take the hassle out of deploying and managing
Subversion and
the tools developers use with it. Learn more about uberSVN and get a
free
download at: http://p.sf.net/sfu/wandisco-dev2dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
<mailto:Matplotlib-users@lists.sourceforge.net>
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
------------------------------------------------------------------------------
Get a FREE DOWNLOAD! and learn more about uberSVN rich system,
user administration capabilities and model configuration. Take
the hassle out of deploying and managing Subversion and the
tools developers use with it. http://p.sf.net/sfu/wandisco-d2d-2
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
