Hello everybody,
I have a final problem with my graph. As a last step I produce an *.eps
file that I use in conjunction with LaTeX.
Here is the last part of my code:
# plt.title('Title')
xlab = plt.xlabel(u'输入 1')
#xlab.set_position((0.2, 0.1))
ylab = plt.ylabel(u'输入 2')
plt.grid(True)
plt.subplots_adjust(bottom=0.2)
plt.show()
plt.savefig('dea.eps')
plt.show() produces the correct output,
but
plt.savefig('dea.eps') produces an error (the error message is attached).
The error is clearly linked to the Chinese, as it runs through if I take
the Chinese out of the code.
Also, plt.savefig('dea.png') works fine.
Could anyone indicate where I would have to look for the mistake? The
matplotlibrc should be fine, but I am not sure.
Your help would be greatly appreciated!
Many thanks,
David
In [63]: run dea.py
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (550, 0))
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (550, 0))
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (550, 0))
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (550, 0))
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
/home/david/Documents/PhD/Dissertation/LaTeX/figures/dea.py in <module>()
37 plt.subplots_adjust(bottom=0.2)
38 plt.show()
---> 39 plt.savefig('dea.eps')
40
41
/usr/lib/pymodules/python2.6/matplotlib/pyplot.pyc in savefig(*args, **kwargs)
354 def savefig(*args, **kwargs):
355 fig = gcf()
--> 356 return fig.savefig(*args, **kwargs)
357 if Figure.savefig.__doc__ is not None:
358 savefig.__doc__ = dedent(Figure.savefig.__doc__)
/usr/lib/pymodules/python2.6/matplotlib/figure.pyc in savefig(self, *args,
**kwargs)
1031 patch.set_alpha(0.0)
1032
-> 1033 self.canvas.print_figure(*args, **kwargs)
1034
1035 if transparent:
/usr/lib/pymodules/python2.6/matplotlib/backend_bases.pyc in print_figure(self,
filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
1474 orientation=orientation,
1475 bbox_inches_restore=_bbox_inches_restore,
-> 1476 **kwargs)
1477 finally:
1478 if bbox_inches and restore_bbox:
/usr/lib/pymodules/python2.6/matplotlib/backend_bases.pyc in print_eps(self,
*args, **kwargs)
1327 from backends.backend_ps import FigureCanvasPS # lazy import
1328 ps = self.switch_backends(FigureCanvasPS)
-> 1329 return ps.print_eps(*args, **kwargs)
1330
1331 def print_pdf(self, *args, **kwargs):
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_ps.pyc in
print_eps(self, outfile, *args, **kwargs)
853
854 def print_eps(self, outfile, *args, **kwargs):
--> 855 return self._print_ps(outfile, 'eps', *args, **kwargs)
856
857
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_ps.pyc in
_print_ps(self, outfile, format, *args, **kwargs)
886 self._print_figure(outfile, format, imagedpi, facecolor,
edgecolor,
887 orientation, isLandscape, papertype,
--> 888 **kwargs)
889
890 def _print_figure(self, outfile, format, dpi=72, facecolor='w',
edgecolor='w',
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_ps.pyc in
_print_figure(self, outfile, format, dpi, facecolor, edgecolor, orientation,
isLandscape, papertype, **kwargs)
978 bbox_inches_restore=_bbox_inches_restore)
979
--> 980 self.figure.draw(renderer)
981
982 if dryrun: # return immediately if dryrun (tightbbox=True)
/usr/lib/pymodules/python2.6/matplotlib/artist.pyc in draw_wrapper(artist,
renderer, *kl)
44 def draw_wrapper(artist, renderer, *kl):
45 before(artist, renderer)
---> 46 draw(artist, renderer, *kl)
47 after(artist, renderer)
48
/usr/lib/pymodules/python2.6/matplotlib/figure.pyc in draw(self, renderer)
772
773 # render the axes
--> 774 for a in self.axes: a.draw(renderer)
775
776 # render the figure text
/usr/lib/pymodules/python2.6/matplotlib/artist.pyc in draw_wrapper(artist,
renderer, *kl)
44 def draw_wrapper(artist, renderer, *kl):
45 before(artist, renderer)
---> 46 draw(artist, renderer, *kl)
47 after(artist, renderer)
48
/usr/lib/pymodules/python2.6/matplotlib/axes.pyc in draw(self, renderer,
inframe)
1719
1720 for zorder, i, a in dsu:
-> 1721 a.draw(renderer)
1722
1723 renderer.close_group('axes')
/usr/lib/pymodules/python2.6/matplotlib/artist.pyc in draw_wrapper(artist,
renderer, *kl)
44 def draw_wrapper(artist, renderer, *kl):
45 before(artist, renderer)
---> 46 draw(artist, renderer, *kl)
47 after(artist, renderer)
48
/usr/lib/pymodules/python2.6/matplotlib/axis.pyc in draw(self, renderer, *args,
**kwargs)
740 tick.set_label1(label)
741 tick.set_label2(label)
--> 742 tick.draw(renderer)
743 if tick.label1On and tick.label1.get_visible():
744 extent = tick.label1.get_window_extent(renderer)
/usr/lib/pymodules/python2.6/matplotlib/artist.pyc in draw_wrapper(artist,
renderer, *kl)
44 def draw_wrapper(artist, renderer, *kl):
45 before(artist, renderer)
---> 46 draw(artist, renderer, *kl)
47 after(artist, renderer)
48
/usr/lib/pymodules/python2.6/matplotlib/axis.pyc in draw(self, renderer)
194
195 if self.label1On:
--> 196 self.label1.draw(renderer)
197 if self.label2On:
198 self.label2.draw(renderer)
/usr/lib/pymodules/python2.6/matplotlib/text.pyc in draw(self, renderer)
563 renderer.draw_text(gc, x, y, clean_line,
564 self._fontproperties, angle,
--> 565 ismath=ismath)
566
567 gc.restore()
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_ps.pyc in
draw_text(self, gc, x, y, s, prop, angle, ismath)
585
586 elif isinstance(s, unicode):
--> 587 return self.draw_unicode(gc, x, y, s, prop, angle)
588
589 elif rcParams['ps.useafm']:
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_ps.pyc in
draw_unicode(self, gc, x, y, s, prop, angle)
711 gind = 0
712 else:
--> 713 name = font.get_glyph_name(gind)
714 glyph = font.load_char(ccode, flags=LOAD_NO_HINTING)
715
RuntimeError: Face has no glyph names
WARNING: Failure executing file: <dea.py>
### MATPLOTLIBRC FORMAT
# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).
#
# This file is best viewed in a editor which supports python mode
# syntax highlighting. Blank lines, or lines starting with a comment
# symbol, are ignored, as are trailing comments. Other lines must
# have the format
# key : val # optional comment
#
# Colors: for the color values below, you can either use - a
# matplotlib color string, such as r, k, or b - an rgb tuple, such as
# (1.0, 0.5, 0.0) - a hex string, such as ff00ff or #ff00ff - a scalar
# grayscale intensity such as 0.75 - a legal html color name, eg red,
# blue, darkslategray
#### CONFIGURATION BEGINS HERE
# the default backend; one of GTK GTKAgg GTKCairo CocoaAgg FltkAgg
# MacOSX QtAgg Qt4Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG Template
# You can also deploy your own backend outside of matplotlib by
# referring to the module name (which must be in the PYTHONPATH) as
# 'module://my_backend'
backend : TkAgg
# if you are runing pyplot inside a GUI and your backend choice
# conflicts, we will automatically try and find a compatible one for
# you if backend_fallback is True
#backend_fallback: True
#interactive : False
#toolbar : toolbar2 # None | classic | toolbar2
#timezone : UTC # a pytz timezone string, eg US/Central or
Europe/Paris
# Where your matplotlib data lives if you installed to a non-default
# location. This is where the matplotlib fonts, bitmaps, etc reside
#datapath : /home/jdhunter/mpldata
### LINES
# See
http://matplotlib.sourceforge.net/api/artist_api.html#module-matplotlib.lines
for more
# information on line properties.
#lines.linewidth : 1.0 # line width in points
#lines.linestyle : - # solid line
#lines.color : blue
#lines.marker : None # the default marker
#lines.markeredgewidth : 0.5 # the line width around the marker symbol
#lines.markersize : 6 # markersize, in points
#lines.dash_joinstyle : miter # miter|round|bevel
#lines.dash_capstyle : butt # butt|round|projecting
#lines.solid_joinstyle : miter # miter|round|bevel
#lines.solid_capstyle : projecting # butt|round|projecting
#lines.antialiased : True # render lines in antialised (no jaggies)
### PATCHES
# Patches are graphical objects that fill 2D space, like polygons or
# circles. See
#
http://matplotlib.sourceforge.net/api/artist_api.html#module-matplotlib.patches
# information on patch properties
#patch.linewidth : 1.0 # edge width in points
#patch.facecolor : blue
#patch.edgecolor : black
#patch.antialiased : True # render patches in antialised (no jaggies)
### FONT
#
# font properties used by text.Text. See
# http://matplotlib.sourceforge.net/api/font_manager_api.html for more
# information on font properties. The 6 font properties used for font
# matching are given below with their default values.
#
# The font.family property has five values: 'serif' (e.g. Times),
# 'sans-serif' (e.g. Helvetica), 'cursive' (e.g. Zapf-Chancery),
# 'fantasy' (e.g. Western), and 'monospace' (e.g. Courier). Each of
# these font families has a default list of font names in decreasing
# order of priority associated with them.
#
# The font.style property has three values: normal (or roman), italic
# or oblique. The oblique style will be used for italic, if it is not
# present.
#
# The font.variant property has two values: normal or small-caps. For
# TrueType fonts, which are scalable fonts, small-caps is equivalent
# to using a font size of 'smaller', or about 83% of the current font
# size.
#
# The font.weight property has effectively 13 values: normal, bold,
# bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as
# 400, and bold is 700. bolder and lighter are relative values with
# respect to the current weight.
#
# The font.stretch property has 11 values: ultra-condensed,
# extra-condensed, condensed, semi-condensed, normal, semi-expanded,
# expanded, extra-expanded, ultra-expanded, wider, and narrower. This
# property is not currently implemented.
#
# The font.size property is the default font size for text, given in pts.
# 12pt is the standard value.
#
#font.family : sans-serif
#font.style : normal
#font.variant : normal
#font.weight : medium
#font.stretch : normal
# note that font.size controls default text sizes. To configure
# special text sizes tick labels, axes, labels, title, etc, see the rc
# settings for axes and ticks. Special text sizes can be defined
# relative to font.size, using the following values: xx-small, x-small,
# small, medium, large, x-large, xx-large, larger, or smaller
#font.size : 12.0
font.serif : Bitstream Vera Serif, New Century Schoolbook, Century
Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New
Roman, Times, Palatino, Charter, serif
font.sans-serif : SimHei, Adobe Song Std, Bitstream Vera Sans, Lucida
Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, cursive
font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy
font.monospace : Adobe Fangsong Std, Bitstream Vera Sans Mono, Andale
Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
### TEXT
# text properties used by text.Text. See
# http://matplotlib.sourceforge.net/api/artist_api.html#module-matplotlib.text
for more
# information on text properties
#text.color : black
### LaTeX customizations. See
http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
#text.usetex : False # use latex for all text handling. The following
fonts
# are supported through the usual rc parameter
settings:
# new century schoolbook, bookman, times,
palatino,
# zapf chancery, charter, serif, sans-serif,
helvetica,
# avant garde, courier, monospace, computer
modern roman,
# computer modern sans serif, computer modern
typewriter
# If another font is desired which can loaded
using the
# LaTeX \usepackage command, please inquire at the
# matplotlib mailing list
#text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for
handling
# unicode strings.
#text.latex.preamble : # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX
FAILURES
# AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK
FOR HELP
# IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
# preamble is a comma separated list of LaTeX
statements
# that are included in the LaTeX document preamble.
# An example:
# text.latex.preamble :
\usepackage{bm},\usepackage{euler}
# The following packages are always loaded with
usetex, so
# beware of package collisions: color, geometry,
graphicx,
# type1cm, textcomp. Adobe Postscript (PSSNFS) font
packages
# may also be loaded, depending on your font
settings
#text.dvipnghack : None # some versions of dvipng don't handle alpha
# channel properly. Use True to correct
# and flush ~/.matplotlib/tex.cache
# before testing and False to force
# correction off. None will try and
# guess based on your dvipng version
#text.markup : 'plain' # Affects how text, such as titles and labels,
are
# interpreted by default.
# 'plain': As plain, unformatted text
# 'tex': As TeX-like text. Text between $'s
will be
# formatted as a TeX math expression.
# This setting has no effect when text.usetex
is True.
# In that case, all text will be sent to TeX for
# processing.
# The following settings allow you to select the fonts in math mode.
# They map from a TeX font name to a fontconfig font pattern.
# These settings are only used if mathtext.fontset is 'custom'.
# Note that this "custom" mode is unsupported and may go away in the
# future.
#mathtext.cal : cursive
#mathtext.rm : serif
#mathtext.tt : monospace
#mathtext.it : serif:italic
#mathtext.bf : serif:bold
#mathtext.sf : sans
#mathtext.fontset : cm # Should be 'cm' (Computer Modern), 'stix',
# 'stixsans' or 'custom'
#mathtext.fallback_to_cm : True # When True, use symbols from the Computer
Modern
# fonts when a symbol can not be found in one
of
# the custom math fonts.
#mathtext.default : it # The default font to use for math.
# Can be any of the LaTeX font names, including
# the special name "regular" for the same font
# used in regular text.
### AXES
# default face and edge color, default tick sizes,
# default fontsizes for ticklabels, and so on. See
# http://matplotlib.sourceforge.net/api/axes_api.html#module-matplotlib.axes
#axes.hold : True # whether to clear the axes by default on
#axes.facecolor : white # axes background color
#axes.edgecolor : black # axes edge color
#axes.linewidth : 1.0 # edge linewidth
#axes.grid : False # display grid or not
#axes.titlesize : large # fontsize of the axes title
#axes.labelsize : medium # fontsize of the x any y labels
#axes.labelcolor : black
#axes.axisbelow : False # whether axis gridlines and ticks are below
# the axes elements (lines, text, etc)
#axes.formatter.limits : -7, 7 # use scientific notation if log10
# of the axis range is smaller than the
# first or larger than the second
#axes.unicode_minus : True # use unicode for the minus symbol
# rather than hypen. See
http://en.wikipedia.org/wiki/Plus_sign#Plus_sign
#polaraxes.grid : True # display grid on polar axes
#axes3d.grid : True # display grid on 3d axes
### TICKS
# see http://matplotlib.sourceforge.net/api/axis_api.html#matplotlib.axis.Tick
#xtick.major.size : 4 # major tick size in points
#xtick.minor.size : 2 # minor tick size in points
#xtick.major.pad : 4 # distance to major tick label in points
#xtick.minor.pad : 4 # distance to the minor tick label in points
#xtick.color : k # color of the tick labels
#xtick.labelsize : medium # fontsize of the tick labels
#xtick.direction : in # direction: in or out
#ytick.major.size : 4 # major tick size in points
#ytick.minor.size : 2 # minor tick size in points
#ytick.major.pad : 4 # distance to major tick label in points
#ytick.minor.pad : 4 # distance to the minor tick label in points
#ytick.color : k # color of the tick labels
#ytick.labelsize : medium # fontsize of the tick labels
#ytick.direction : in # direction: in or out
### GRIDS
#grid.color : black # grid color
#grid.linestyle : : # dotted
#grid.linewidth : 0.5 # in points
### Legend
#legend.fancybox : False # if True, use a rounded box for the
# legend, else a rectangle
#legend.isaxes : True
#legend.numpoints : 2 # the number of points in the legend line
#legend.fontsize : large
#legend.pad : 0.0 # deprecated; the fractional whitespace inside
the legend border
#legend.borderpad : 0.5 # border whitspace in fontsize units
#legend.markerscale : 1.0 # the relative size of legend markers vs.
original
# the following dimensions are in axes coords
#legend.labelsep : 0.010 # the vertical space between the legend entries
#legend.handlelen : 0.05 # the length of the legend lines
#legend.handletextsep : 0.02 # the space between the legend line and legend
text
#legend.axespad : 0.02 # the border between the axes and legend edge
#legend.shadow : False
### FIGURE
# See
http://matplotlib.sourceforge.net/api/figure_api.html#matplotlib.figure.Figure
#figure.figsize : 8, 6 # figure size in inches
#figure.dpi : 80 # figure dots per inch
#figure.facecolor : 0.75 # figure facecolor; 0.75 is scalar gray
#figure.edgecolor : white # figure edgecolor
# The figure subplot parameters. All dimensions are fraction of the
# figure width or height
#figure.subplot.left : 0.125 # the left side of the subplots of the figure
#figure.subplot.right : 0.9 # the right side of the subplots of the figure
#figure.subplot.bottom : 0.1 # the bottom of the subplots of the figure
#figure.subplot.top : 0.9 # the top of the subplots of the figure
#figure.subplot.wspace : 0.2 # the amount of width reserved for blank space
between subplots
#figure.subplot.hspace : 0.2 # the amount of height reserved for white
space between subplots
### IMAGES
#image.aspect : equal # equal | auto | a number
#image.interpolation : bilinear # see help(imshow) for options
#image.cmap : jet # gray | jet etc...
#image.lut : 256 # the size of the colormap lookup table
#image.origin : upper # lower | upper
#image.resample : False
### CONTOUR PLOTS
#contour.negative_linestyle : dashed # dashed | solid
### Agg rendering
### Warning: experimental, 2008/10/10
#agg.path.chunksize : 0 # 0 to disable; values in the range
# 10000 to 100000 can improve speed slightly
# and prevent an Agg rendering failure
# when plotting very large data sets,
# especially if they are very gappy.
# It may cause minor artifacts, though.
# A value of 20000 is probably a good
# starting point.
### SAVING FIGURES
#path.simplify : False # When True, simplify paths by removing "invisible"
# points to reduce file size and increase rendering
# speed
#path.simplify_threshold : 0.1 # The threshold of similarity below which
# vertices will be removed in the simplification
# process
# the default savefig params can be different from the display params
# Eg, you may want a higher resolution, or to make the figure
# background white
#savefig.dpi : 100 # figure dots per inch
#savefig.facecolor : white # figure facecolor when saving
#savefig.edgecolor : white # figure edgecolor when saving
#cairo.format : png # png, ps, pdf, svg
# tk backend params
#tk.window_focus : False # Maintain shell focus for TkAgg
#tk.pythoninspect : False # tk sets PYTHONINSEPCT
# ps backend params
#ps.papersize : letter # auto, letter, legal, ledger, A0-A10, B0-B10
#ps.useafm : False # use of afm fonts, results in small files
#ps.usedistiller : False # can be: None, ghostscript or xpdf
# Experimental: may produce smaller
files.
# xpdf intended for production of
publication quality files,
# but requires ghostscript, xpdf and
ps2eps
#ps.distiller.res : 6000 # dpi
#ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
# pdf backend params
#pdf.compression : 6 # integer from 0 to 9
# 0 disables compression (good for debugging)
#pdf.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
ps.fonttype=42
pdf.fonttype=42
# svg backend params
#svg.image_inline : True # write raster image data directly into the svg
file
#svg.image_noscale : False # suppress scaling of raster data embedded in SVG
#svg.embed_char_paths : True # embed character outlines in the SVG file
# docstring params
#docstring.hardcopy = False # set this when you want to generate hardcopy
docstring
# Set the verbose flags. This controls how much information
# matplotlib gives you at runtime and where it goes. The verbosity
# levels are: silent, helpful, debug, debug-annoying. Any level is
# inclusive of all the levels below it. If your setting is "debug",
# you'll get all the debug and helpful messages. When submitting
# problems to the mailing-list, please set verbose to "helpful" or "debug"
# and paste the output into your report.
#
# The "fileo" gives the destination for any calls to verbose.report.
# These objects can a filename, or a filehandle like sys.stdout.
#
# You can override the rc default verbosity from the command line by
# giving the flags --verbose-LEVEL where LEVEL is one of the legal
# levels, eg --verbose-helpful.
#
# You can access the verbose instance in your code
# from matplotlib import verbose.
#verbose.level : debug # one of silent, helpful, debug, debug-annoying
#verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr
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