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

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