Menu
▾
▴
matplotlib-users
|
From: Petro <x....@gm...> - 2012-08-22 09:29:19
|
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) __________________________________________________________________ the result looks strange like this: https://lh5.googleusercontent.com/-4GRQxuRFvh4/UDSiRrNy59I/AAAAAAAACmA/Kho3prHFpUU/s640/fit_rates2.png Has anyone experienced behaviour like this? Thanks. Petro |
|
From: Damon M. <dam...@gm...> - 2012-08-22 10:29:30
|
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() -- Damon McDougall http://www.damon-is-a-geek.com B2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom |
|
From: Petro K. <kho...@gm...> - 2012-08-22 12:17:53
|
Damon McDougall <dam...@gm...> 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. |
|
From: Michael D. <md...@st...> - 2012-08-22 12:28:43
|
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 > <dam...@gm...> 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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users |
|
From: Petro <x....@gm...> - 2012-08-22 14:02:55
|
Michael Droettboom <md...@st...> writes: > 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 > Thanks. It solved the problem. |
