matplotlib-devel Mailing List for matplotlib

>>>>> "David" == David Huard <dav...@gm...> writes:
 David> Hi, unles I'm doing something stupid, setp is buggy.
 David> I'm creating a bunch of images using imshow and I want the
 David> colormap to be consistent among images. So once they're all
 David> drawn, I want to uniformize the color scale. But
 >>>> setp(ax.images, clim= [0,1])
 David> does not work because it sets vmin to [0,1] and doesn't
 David> affect vmax.
 David> On the other hand,
 >>>> ax.images[0].set_clim([0,1])
The latter should not work. The set_clim function in
cm.ScalarMappable has the signature
 def set_clim(self, vmin=None, vmax=None):
Ie, it does not accept the sequence argument, though
 ax.images[0].set_clim(*[0,1])
should work.
The setp behavior is more of a bug with set_clim than it is with setp.
For properties to work with setp, we need to have all setters work
with a single argument, and so in this we would want to support a
single non-keyword argument which is a length two sequence mean
"[vmin, vmax]"
I just committed changes to support this so if you have svn access
give it a test drive.
JDH

Hi,
unles I'm doing something stupid, setp is buggy.
I'm creating a bunch of images using imshow and I want the colormap to be
consistent among images. So once they're all drawn, I want to uniformize the
color scale. But
>>> setp(ax.images, clim= [0,1])
does not work because it sets vmin to [0,1] and doesn't affect vmax.
On the other hand,
>>> ax.images[0].set_clim([0,1])
works fine.
Should I file a ticket ?
David
In [1]: ax = axes()
In [2]: ax.imshow(rand(10,10))
Out[2]: <matplotlib.image.AxesImage instance at 0x2aaaad22a830>
In [3]: setp(ax.images, 'clim', [0,1])
---------------------------------------------------------------------------
exceptions.ValueError Traceback (most recent
call last)
/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_gtk.py in
expose_event(self, widget, event)
 282 x, y, w, h = self.allocation
 283 self._pixmap_prepare (w, h)
--> 284 self._render_figure(self._pixmap, w, h)
 285 self._need_redraw = False
 286
/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_gtkagg.py
in _render_figure(self, pixmap, width, height)
 71 def _render_figure(self, pixmap, width, height):
 72 if DEBUG: print 'FigureCanvasGTKAgg.render_figure'
---> 73 FigureCanvasAgg.draw(self)
 74 if DEBUG: print 'FigureCanvasGTKAgg.render_figure pixmap',
pixmap
 75 #agg_to_gtk_drawable(pixmap, self.renderer._renderer, None)
/usr/local/lib/python2.4/site-packages/matplotlib/backends/backend_agg.py in
draw(self)
 390
 391 renderer = self.get_renderer()
--> 392 self.figure.draw(renderer)
 393
 394 def get_renderer(self):
/usr/local/lib/python2.4/site-packages/matplotlib/figure.py in draw(self,
renderer)
 567
 568 # render the axes
--> 569 for a in self.axes: a.draw(renderer)
 570
 571 # render the figure text
/usr/local/lib/python2.4/site-packages/matplotlib/axes.py in draw(self,
renderer, inframe)
 1105 if len(self.images)<=1 or renderer.option_image_nocomposite
():
 1106 for im in self.images:
-> 1107 im.draw(renderer)
 1108 else:
 1109 # make a composite image blending alpha
/usr/local/lib/python2.4/site-packages/matplotlib/image.py in draw(self,
renderer, *args, **kwargs)
 179 def draw(self, renderer, *args, **kwargs):
 180 if not self.get_visible(): return
--> 181 im = self.make_image(renderer.get_image_magnification())
 182 l, b, widthDisplay, heightDisplay =
self.axes.bbox.get_bounds()
 183 renderer.draw_image(l, b, im, self.axes.bbox)
/usr/local/lib/python2.4/site-packages/matplotlib/image.py in
make_image(self, magnification)
 122 im.is_grayscale = False
 123 else:
--> 124 x = self.to_rgba(self._A, self._alpha)
 125 im = _image.fromarray(x, 0)
 126 if len(self._A.shape) == 2:
/usr/local/lib/python2.4/site-packages/matplotlib/cm.py in to_rgba(self, x,
alpha)
 54 if hasattr(x, 'shape') and len(x.shape)>2: return x
 55 x = ma.asarray(x)
---> 56 x = self.norm(x)
 57 x = self.cmap(x, alpha)
 58 return x
/usr/local/lib/python2.4/site-packages/matplotlib/colors.py in
__call__(self, value, clip)
 749 self.autoscale(val)
 750 vmin, vmax = self.vmin, self.vmax
--> 751 if vmin > vmax:
 752 raise ValueError("minvalue must be less than or equal to
maxvalue")
 753 elif vmin==vmax:
ValueError: The truth value of an array with more than one element is
ambiguous. Use a.any() or a.all()