Hi, Thanks for your reply ! The thread you pointed me to, was useful, though I didnt uderstand everything in it yet. However, I found that the following works for what I want ... though it does what I want, am I making some horrible mistake which will come around and haunt me later ?
plsub = subplot(1,1,1) plaxis = axis([0, n 0, m]) start = plsub._position.p0 stop = plsub._position.p1 plsub._position.p0 and p1 store the normalised coordinates of the subplot box, it seems, which is what I need for now. thanks! Mohan On Wed, Apr 1, 2009 at 7:54 PM, Jae-Joon Lee <lee.j.j...@gmail.com> wrote: > This thread might be helpful. > > http://thread.gmane.org/gmane.comp.python.matplotlib.general/16373 > > Take a look at the above thread and see if it fits your need. > > However, it became tricky if your axes adjust its position (e.g., > aspect=1) during the drawing time. > The example below will be helpful in those case (you need recent > version of matplotlib for this, see if your axes has > "set_axes_locator" method), but this requires some knowledge on how > mpl works. > > > import matplotlib.transforms > > class InsetPosition(object): > def __init__(self, parent, lbwh): > self.parent = parent > self.lbwh = lbwh # position of the inset axes in the > normalized coordinate of the parent axes > > def __call__(self, ax, renderer): > bbox_parent = self.parent.get_position(original=False) > trans = matplotlib.transforms.BboxTransformTo(bbox_parent) > bbox_inset = matplotlib.transforms.Bbox.from_bounds(*self.lbwh) > bb = matplotlib.transforms.TransformedBbox(bbox_inset, trans) > return bb > > ax = gca() > ax.set_aspect(1.) > axins = axes([0, 0, 1, 1]) > ip = InsetPosition(ax, [0.5, 0.1, 0.4, 0.2]) > axins.set_axes_locator(ip) > > > IHTH, > > -JJ > > > > > On Wed, Apr 1, 2009 at 8:22 AM, oyarsa the old <oyars...@gmail.com> wrote: > > Hello, > > > > I am new to matplotlib and pylab. > > I have an image plotted with imshow/contour, or even just a coordinate > > system plotted with axis. > > > > I need to plot smaller contours/images on them at selected pixels. The > only > > way I can figure how to do that is using axes. However, axes is defined > on > > normalised coordinates which cover the entire window, whereas the axis of > > the main figure is drawn within it, with some margin. > > > > My problem is how to get the correct coordinates for plotting each of the > > smaller figures ? The easiest way to do so would be to get the normalised > > coordinates of the rectangle which is drawn by axis. Is there a way to > get > > that? > > > > Thanks > > Mohan. > > > > > ------------------------------------------------------------------------------ > > > > _______________________________________________ > > Matplotlib-users mailing list > > Matplotlib-users@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > >
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