maybe change the line """axim.set_yticklabels(ytics,fontsize=15,family='fantasy')""" to """axim.set_yticklabels(ytics,fontsize=15, fontname= "simsun (founder extended)")""" (or replace fontname with "simhei" or "microsoft yahei") is enough.
or, put these two lines: mpl.rcParams['font.sans-serif'] = ['SimHei'] mpl.rcParams['axes.unicode_minus'] = False there is a Chinese blog (not mine) maybe worth reading: http://hi.baidu.com/lijiangshui/blog/item/a0aad703cd65ee7e3812bb49.html hope this help On Mon, Oct 11, 2010 at 3:13 AM, Benoit Gaillard <benoit.gaill...@univ-tlse2.fr> wrote: > Hi, > > How can one display Mandarin labels in a plot, as yticks_labels for example? > It looks to me that there is no font in matplotlib that can display Chinese > characters? I can display accentuation from 'utf8' but i could not find a > font family that would display Chinese characters. > > Here is an example of plot that displays empty boxes instead of Chinese > characters. In comments you can see various failed attempts: > > import matplotlib as mpl > from matplotlib import cm > from matplotlib import rc > #rc('font',**{'family':'sans-serif','sans-serif':['SimHei','Arial']}) > #mpl.rcParams['font.sans-serif'] = ['SimHei','Arial'] > import matplotlib.pyplot as plt > > matrix=[[skey+tkey for skey in [1,2]] for tkey in [1,2]] > fig = plt.figure() > axim = fig.add_subplot(111) > #ytics: caractères chinois en utf8 > ytics=['\xe6\x8a\xb1'.decode('utf8'),'\xe6\x93\x81'.decode('utf8')] > xtics=['d\xc3\xa9bo\xc3\xaeter'.decode('utf8'),'diviser'.decode('utf8')] > axim.imshow(matrix, cmap=cm.jet, interpolation='nearest',origin='lower') > axim.set_xticks(range(2)) > axim.set_xticklabels(xtics,fontsize=15,rotation=25,ha='right',family='monospace') > axim.set_yticks(range(2)) > axim.set_yticklabels(ytics,fontsize=15,family='fantasy')#,fontname='AR PL > ungtiL GB') > plt.show() > > Thank you for your help, > > Benoit > > > > ---------------------------------------------------------------- > This message was sent using IMP, the Internet Messaging Program. > > > Hi, > > How can one display mandarin labels in a plot, as yticks_labels for example? > It looks to me that there is no font in matplotlib that can display chinese > characters? I can display accentuation from 'utf8' but i could not find a > font family that would display chinese characters. > > Here is an example of plot that displays empty boxes instead of chinese > characters. In comment you can see various failed attempts: > > import matplotlib as mpl > from matplotlib import cm > from matplotlib import rc > #rc('font',**{'family':'sans-serif','sans-serif':['SimHei','Arial']}) > #mpl.rcParams['font.sans-serif'] = ['SimHei','Arial'] > import matplotlib.pyplot as plt > > matrix=[[skey+tkey for skey in [1,2]] for tkey in [1,2]] > fig = plt.figure() > axim = fig.add_subplot(111) > #ytics: caractères chinois en utf8 > ytics=['\xe6\x8a\xb1'.decode('utf8'),'\xe6\x93\x81'.decode('utf8')] > xtics=['d\xc3\xa9bo\xc3\xaeter'.decode('utf8'),'diviser'.decode('utf8')] > axim.imshow(matrix, cmap=cm.jet, interpolation='nearest', > origin='lower') > axim.set_xticks(range(2)) > axim.set_xticklabels(xtics, > fontsize=15,rotation=25,ha='right',family='monospace') > axim.set_yticks(range(2)) > axim.set_yticklabels(ytics,fontsize=15,family='fantasy')#,fontname='AR > PL SungtiL GB') > plt.show() > > Thank you for your help, > > Benoit > > ------------------------------------------------------------------------------ > Beautiful is writing same markup. Internet Explorer 9 supports > standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 & L3. > Spend less time writing and rewriting code and more time creating great > experiences on the web. Be a part of the beta today. > http://p.sf.net/sfu/beautyoftheweb > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > ------------------------------------------------------------------------------ Beautiful is writing same markup. Internet Explorer 9 supports standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 & L3. Spend less time writing and rewriting code and more time creating great experiences on the web. Be a part of the beta today. http://p.sf.net/sfu/beautyoftheweb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
