Can you try the GtkAgg backend instead and confirm the bug isn't there? The "pure" Gtk backend doesn't see a lot of use these days and isn't very well tested.
Mike On 08/22/2012 08:17 AM, Petro Khoroshyy wrote: > Damon McDougall > <damon.mcdoug...@gmail.com> writes: > >> On Wed, Aug 22, 2012 at 11:28:54AM +0200, Petro wrote: >>> Hi list. >>> I generate some png images using matplotlib, and get very different >>> results depending on figuresize >>> __________________________________________________________________ >>> from pylab import figure, plot >>> import pylab as plt >>> import numpy as np >>> figure() >>> plt.subplot(2,1,1) >>> plot(np.random.rand(10),'o') >>> plt.subplot(2,1,2) >>> plot(np.random.rand(10),'o') >>> pic_name='fit_rates1.png' >>> path_name='/home/petro/tmp/' >>> plt.savefig(path_name + pic_name) >>> __________________________________________________________________ >>> >>> the code above generates the following image: >>> https://lh3.googleusercontent.com/-107Ducz_CA0/UDShKMtejtI/AAAAAAAACls/YOeahS3tQA8/s400/fit_rates1.png >>> >>> now if I increase a figure size parameter: >>> __________________________________________________________________ >>> from pylab import figure, plot >>> import pylab as plt >>> import numpy as np >>> plt.ioff() >>> from matplotlib import rcParams >>> golden_mean = (np.sqrt(5)-1.0)/2.0 # Aesthetic ratio >>> fig_width = 5.6 # width in inches >>> fig_height = fig_width*golden_mean # height in inches >>> rcParams['figure.figsize']=fig_width, fig_height*3 >>> figure() >>> plt.subplot(2,1,1) >>> plot(np.random.rand(10),'o') >>> plt.subplot(2,1,2) >>> plot(np.random.rand(10),'o') >>> pic_name='fit_rates2.png' >>> path_name='/home/petro/tmp/' >>> plt.savefig(path_name + pic_name) >>> >> What backend are you using? >> >> print plt.get_backend() > It outputs GTK. > > > > > ------------------------------------------------------------------------------ > 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