Richard, I have made the requested change to imshow, so it is consistent with the new matshow, and I think it makes much more sense this way--but note that it depends on your rc value for image.origin. So, whenever you get mpl from svn, or the next release (whenever that occurs--not very soon, I suspect), I think you will find both matshow and imshow more to your liking.
I also changed the docstring explanation for the extent kwarg, noting that it gives (left, right, bottom, top) data limits of the axes. More doc changes and other tweaks for this class of functions will be in order, when I get back to it. Eric Richard Brown wrote: > On 22/03/07, Eric Firing <[EMAIL PROTECTED]> wrote: >> Richard Brown wrote: >> > Hi there, >> > >> > I'm pretty new to python; I'm in the process of switching from Matlab. >> > I do quite a bit of image processing in my research, and while >> > pylab/matplotlib seems to be a great plotting library, some of the >> > quirks seem just a little bit frustrating - I'm hoping for some >> > enlightenment :) >> > >> > When I use imshow or matshow to display an array, the points with >> > index (m, n) are displayed with the pixels centred at (0.5 + m, 0.5 + >> > n). Is there a setting somewhere to make it so that the centres of the >> > pixels are at the index values rather than their bottom left corners? >> > Or must I be always adding 0.5 to things to make them appear in the >> > right places? >> >> Coincidentally, a few days ago I made this change for matshow; I had >> made it in spy some time ago. I have so far left imshow alone; isn't >> its present behavior consistent with Matlab? That is not necessarily a >> good reason for leaving it the way it is, but it is reason for some >> caution. I suspect quite a few people may prefer it the way it is; >> let's see who responds, and what opinions are voiced. > > Thanks for your timely response. Let me give you a few examples to > clarify the things which I think might be relevant issues to address. > (numpy and pylab imported) > > PRELIMINARIES > # Create a 6x6 logical array with a 2x2 square near the to left > xx = zeros((6, 6), dtype='Bool') > xx[1:3, 1:3] = True > > > EXAMPLE 1 - imshow > Trying to plot a point which should appear on the square: >>>> imshow(xx, interpolation='nearest') >>>> plot([2],[2], 'y.', markersize=20) > > The image looks correct, with the square in the top left, but the y > axis is labelled backwards. Therefore when I try to plot a point in > the middle of it, it misses altogether > > EXAMPLE 2 - matshow (not your new version) >>>> matshow(xx) > So far so good - the y axis is the right way around >>>> plot([2],[2], 'y.', markersize=20) > Oops - the y axis flipped, there is a block of white at the top, and > the image is now upside-down. The point has showed up in the right > place w.r.t the image though. > > EXAMPLE 3 - off by 0.5 problem - relevant to imshow too >>>> matshow(xx) > Let's say I want to compute the centroid of the square blob. IMO a > natural way to do this is: >>>> cen = mean(where(xx), 1) >>>> plot([cen[0]], [cen[1]], 'y.') > > This is off by 0.5 in both directions. This kind of thing is my > argument for why the coordinate system should be aligned with the > array indices. > > Matlab behaviour: > In Matlab, the pixels are centred on integer coordinates corresponding > to their array index. Matlab indexing is ones based, so a 2x2 image > will have axes limits of 0.5-2.5 in each direction, with the pixel > centres at (1,1), (1,2) etc. > imshow in Matlab plots the array with the (1,1) coordinate in the top > left, and the y axis increasing from the top down (like what matshow > does here) > > cheers, > > Richard ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users