Re: [Matplotlib-users] [CJK] can create png but not eps: some successes

[David]

Hello Mike, dear list,




But my paths was rather surprising:
* I put SimHei back at first position in matplotlibrc:
        font.sans-serif: SimHei, ~
* the following I took out of my dea.py:
        #import matplotlib
        #matplotlib.use('GtkCairo')
* also, I have taken out:
        #rcParams['font.sans-serif'] = ['Adobe Song Std']
        #rcParams['font.sans-serif'] = ['SimHei']


I can confirm that:
In [9]: matplotlib.get_backend()
Out[9]: 'GTKCairo'

And: no eps gets generated.

Basically I therefore followed the instructions here [Chinese]:
http://hi.baidu.com/lijiangshui/blog/item/a0aad703cd65ee7e3812bb49.html



Thanks for all your help, Mike!

David

I am now able to generate a ps (and png) file with CJK characters (eps does NOT work). Note here that when I take the 'Adobe Song' line out, no CJK gets produced. The 'SimHei' line makes no difference. While eps generation continues not to work, my system is now, via ps2eps, productive.

dea.ps
Description: PostScript document

#!/usr/bin/python
# -*- coding: utf-8 -*-
# http://suyonggui.blog.sohu.com/115269389.html
# http://hi.baidu.com/lijiangshui/blog/item/a0aad703cd65ee7e3812bb49.html

#import matplotlib
#matplotlib.use('GtkCairo')
import matplotlib.pyplot as plt
from pylab import *
#rcParams['figure.figsize'] = 3.56, 2.22
rcParams['figure.figsize'] = 4, 3
rcParams['axes.labelsize'] = 12.0
#rcParams['font.sans-serif'] = ['Adobe Song Std']
#rcParams['font.sans-serif'] = ['SimHei']


label = ('A', 'B', 'C', 'E')
shuru1 = [1, 2, 4, 5]
shuru2 = [4, 2, 1, 1]

plt.plot([0,3], [0,3], 'k--', lw=2)
plt.plot([3], [3], 'ko', ms=6)
plt.plot(shuru1, shuru2, 'k-', lw=2)
plt.plot(shuru1, shuru2, 'ko', ms=6)

plt.axis([0, 6, 0, 5])

# plt.title('Title')
xlab = plt.xlabel(u'输入 1')
#xlab = plt.xlabel(u'shuru 1')
ylab = plt.ylabel(u'输入 2')
#ylab = plt.ylabel(u'shuru 2')

text( 1, 4.2, u'A')
text( 1.95, 2.2, u'B')
text( 4, 1.2, u'C')
text( 5, 1.2, u'E')
text( 3, 3.2, u'D')

plt.grid(True)
plt.subplots_adjust(bottom=0.2)
#plt.show()
plt.savefig('dea.png')
plt.savefig('dea.ps')

------------------------------------------------------------------------------
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users