[Matplotlib-users] bug for savefig to eps in the latest version of matplotlib

Xu, Bin xubinrun at gmail.com
Thu Mar 30 10:00:57 EDT 2017


Dear Ben Root,

Thanks for your suggestions. Here, I used "plt.style.use('classic')", 
but the created eps figure was still similar to previous one or even 
larger... Incidentally, the matplotlibrc I used is the default 
matplotlibc in my version 2.0.0.

Bin

On 03/30/2017 09:43 PM, Benjamin Root wrote:
> as a test, can you activate the "classic" mode? I have a suspicion 
> what this bug is. Just add "import matplotlib; 
> matplotlib.use('classic')" before any plotting calls.
>
> Ben Root
>
>
> On Wed, Mar 29, 2017 at 11:16 PM, Xu, Bin <xubinrun at gmail.com 
> <mailto:xubinrun at gmail.com>> wrote:
>
>     Dear all,
>
>     I recently update my matplotlib to the latest version, and found
>     pyplot.savefig to eps file didn't work well like previous version.
>     Test script:
>     ==================================
>     #!/usr/bin/python -tt
>     from matplotlib.colors import LogNorm
>     import matplotlib.pyplot as plt
>     import numpy as np
>
>     # normal distribution center at x=0 and y=5
>     x = np.random.randn(100000)
>     y = np.random.randn(100000) + 5
>
>     plt.hist2d(x, y, bins=40, norm=LogNorm())
>     plt.colorbar()
>     #plt.show()
>     plt.savefig('test.eps')
>     #plt.savefig('test.png')
>     ==================================
>     The result of plt.show() is just like the result of test.png,
>     while test.eps has a weired large file size (more than 20 MB in
>     other case). In the meantime, the facecolor for 'NaN' value in
>     test.eps is black, different from test.png and previous version. I
>     consider it is a bug here.
>     How to reach the desired style (regular size, and white color for
>     'NaN' value in image)?  Thanks a lot.
>     -- 
>
>     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
>     Xu,Bin
>
>
>
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>

-- 

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Xu,Bin

School of Materials Science and Engineering,
Shanghai Jiao Tong University,
800 Dongchuan Road, Minhang,
Shanghai 200240, China

Email: xubinrun at gmail.com, xubin_materials at sjtu.edu.cn
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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