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 ------------------------------------------------------------------------------ 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
