On 2015/02/18 7:51 AM, Ryan Nelson wrote: > I don't have an answer to your question exactly. But I'll just say that > this does make sense. The aspect-corrected axes (after show) is a subset > of what you originally asked for, i.e. the bottom is higher, and the > height is smaller. My guess is that this is not calculated until the > final rendering on save on some computational effort. Otherwise, these > values might need to be recalculated every time you add e.g. a colorbar. > There is certainly a way to "trick" the plot into rendering, but I > wonder if you could post a small (maybe two axes) version that > demonstrates the effect your trying to accomplish. Perhaps someone might > have a simpler/more robust solution.
There is an Axes method called apply_aspect() that is called by the Axes.draw() method. Normally there is no need to call it before that, but I think you could do so. I think the problem, though, is that until the figure is rendered to a real device or saved in a file, its dimensions in inches are not known, and apply_aspect needs that information. Try including the figsize_inches kwarg when you make the figure, and then see if calling apply_aspect makes the position settle down to its final value. Eric > > Ryan > > On Wed, Feb 18, 2015 at 4:27 AM, gdm <jgabor.as...@gmail.com > <mailto:jgabor.as...@gmail.com>> wrote: > > New matplotlib user here. Sometimes I like to make figures with > multiple > axes, and have lines that cross multiple axes. I've run in to > problems with > coordinates when doing this. One such problem is that > axes.get_position() > seems to return incorrect coordinates for an axes with a fixed > aspect ratio. > However, after calling pyplot.show() (or fig.savefig()), it returns the > correct coordinates. > > Here is some example code: > ######################### > import numpy > import matplotlib.pyplot as plt > > # make up some data > x = numpy.arange(10) > y = numpy.sin(x) > y2 = numpy.cos(x) > > # generate the figure > fig = plt.figure() > > # setup the first axes > ax1 = fig.add_subplot(121) > plt.plot(x,y) > > # setup the second axes with axis ratio > ax2 = fig.add_subplot(122, aspect=6) > plt.plot(x, y2) > > # Print out the axes position after various operations > print "aaa", ax2.get_position() > > plt.draw() > print "bbb", ax2.get_position() > > fig.canvas.draw() > print "ccc", ax2.get_position() > > plt.show(block=False) > print "yyy", ax2.get_position() > ########################## > > Running this code produces the following output: > aaa Bbox('array([[ 0.54772727, 0.1 ],\n [ 0.9 , 0.9 > ]])') > bbb Bbox('array([[ 0.54772727, 0.1 ],\n [ 0.9 , 0.9 > ]])') > ccc Bbox('array([[ 0.54772727, 0.1 ],\n [ 0.9 , 0.9 > ]])') > yyy Bbox('array([[ 0.54772727, 0.18686869],\n [ 0.9 , > 0.81313131]])') > > P.S.: I think this might be related to an issue noted here: > > http://stackoverflow.com/questions/11900654/get-position-does-strange-things-when-using-a-colorbar > > > > > > -- > View this message in context: > > http://matplotlib.1069221.n5.nabble.com/axes-get-position-inaccurate-until-after-savefig-tp44954.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server > from Actuate! Instantly Supercharge Your Business Reports and Dashboards > with Interactivity, Sharing, Native Excel Exports, App Integration & > more > Get technology previously reserved for billion-dollar corporations, FREE > > http://pubads.g.doubleclick.net/gampad/clk?id=190641631&iu=/4140/ostg.clktrk > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > <mailto:Matplotlib-users@lists.sourceforge.net> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > ------------------------------------------------------------------------------ > Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server > from Actuate! Instantly Supercharge Your Business Reports and Dashboards > with Interactivity, Sharing, Native Excel Exports, App Integration & more > Get technology previously reserved for billion-dollar corporations, FREE > http://pubads.g.doubleclick.net/gampad/clk?id=190641631&iu=/4140/ostg.clktrk > > > > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Download BIRT iHub F-Type - The Free Enterprise-Grade BIRT Server from Actuate! Instantly Supercharge Your Business Reports and Dashboards with Interactivity, Sharing, Native Excel Exports, App Integration & more Get technology previously reserved for billion-dollar corporations, FREE http://pubads.g.doubleclick.net/gampad/clk?id=190641631&iu=/4140/ostg.clktrk _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
