[Matplotlib-users] How to determine position of axes after imshow?
Hello List, I am trying to determine the position of the axes after an imshow and am having problems. I get a different answer on my Mac (the correct answer) than Windows (the wrong answer). I have a file called testimage.py with 5 lines: from pylab import * c = ones((10,20)) ax = imshow(c) show() print ax.get_axes().get_position() I run this file from IPython. On my Mac I get: run testimage Bbox(array([[ 0.125 , 0.2417], [ 0.9 , 0.7583]])) On Windows I get (the wrong answer): run testimage Bbox(array([[ 0.125, 0.1 ], [0.9, 0.9 ]])) Any thoughts? When I type the commands in at the IPython prompt it works most of the time (on Windows), but it never works when running the file. What in the world could be different? mp version 1.1.0 on both systems. Thanks for your help, Mark -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Axis ticks 'zorder'
Hello, Can the 'zorder' of the ticks be set? This minimal example shows a hard-coded value of 2.5 This may come from file matplotlib/axes.py, function draw(). Can it be adjusted? Shall it be bug-reported? ### import matplotlib.pyplot as pyplot fig = pyplot.figure() ax = fig.add_subplot(111) ax.add_patch(pyplot.Rectangle((0,0), 1, 1, zorder=3)) ax.xaxis.set_zorder(4) # Expected behavior: the ticks should be drawn after the Rectangle, # because 4 3. They should therefore be visible. pyplot.show() # Problem: The ticks are hidden by the rectangle, contrary to the # expected behavior. print(ax.xaxis.get_zorder()) # Prints 2.5 instead of 4! ### -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Axis ticks 'zorder'
Hi, 2012/7/30 oc-spam65 oc-spa...@laposte.net: Hello, Can the 'zorder' of the ticks be set? This minimal example shows a hard-coded value of 2.5 This may come from file matplotlib/axes.py, function draw(). Can it be adjusted? Shall it be bug-reported? ### import matplotlib.pyplot as pyplot fig = pyplot.figure() ax = fig.add_subplot(111) ax.add_patch(pyplot.Rectangle((0,0), 1, 1, zorder=3)) ax.xaxis.set_zorder(4) # Expected behavior: the ticks should be drawn after the Rectangle, # because 4 3. They should therefore be visible. pyplot.show() # Problem: The ticks are hidden by the rectangle, contrary to the # expected behavior. print(ax.xaxis.get_zorder()) # Prints 2.5 instead of 4! ### I confirm the bug on matplotlib v: 1.1.0, Kubuntu 11.04, Python 2.7.1+ ax.xaxis.set_zorder(4) ax.xaxis.get_zorder() 4 plt.draw() ax.xaxis.get_zorder() It seems that the call to draw or show sets the zorder to default, instead of updating it. @Mr Spam (can you sign your mail, please) In one of my scripts managed to set zorder to the spines as, e.g., ax.spines['left'].set_zorder(101). This puts the axis spine well on top, but ax.xaxis.set_zorder does nothing. I've also found a method ax.tick_params, that has a zorder keyword, but it does nothing too. Cheers, Francesco -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
