matplotlib-users Mailing List for matplotlib

On 6/13/06, Norman Guinasso <no...@ge...> wrote:
> I can't get import pylab to work. My matplotlabrc file and some ipython
> output is attached. The font manager seems to fail. Any suggestions?
> C:\Python24\lib\ntpath.py in splitdrive(p)
> 117 """Split a pathname into drive and path specifiers. Returns
> a 2-tupl
> e
> 118 "(drive,path)"; either part may be empty"""
> --> 119 if p[1:2] == ':':
> 120 return p[0:2], p[2:]
> 121 return '', p
>
> TypeError: unsubscriptable object
As a general suggestion in your case, and for other mpl/ipython users
reporting problems: always set
xmode verbose
before sending your traceback. This will generate an extremely
detailed traceback, which may contain valuable info for the
developers, thus making it more likely that they can help you. Given
how often the devs will not be able to directly reproduce the problem
(lacking your exact hardware/software/configuration combination), such
a traceback may be the only way for them to guess what's going on.
As for your specific problem, I don't know :)
Cheers,
f

I can't get import pylab to work. My matplotlabrc file and some ipython 
output is attached. The font manager seems to fail. Any suggestions?
### MATPLOTLIBRC FORMAT
# This is a sample matplotlib configuration file. It should be placed
# in HOME/.matplotlib/matplotlibrc (unix/linux like systems) and
# C:\Documents and Settings\yourname\.matplotlib (win32 systems)
#
# By default, the installer will overwrite the existing file in the
# install path, so if you want to preserve your's, please move it to
# your HOME dir and set the environment variable if necessary.
#
# 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 (no '#' symbol)
# - 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 FltkAgg QtAgg TkAgg
# Agg Cairo GD GDK Paint PS SVG Template
backend : GTKAgg
numerix : numpy # numpy, Numeric or numarray
interactive : False # see 
http://matplotlib.sourceforge.net/interactive.html
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: C:\Python24\Lib\site-packages\matplotlib\mpl-data
### LINES
# See http://matplotlib.sourceforge.net/matplotlib.lines.html 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.markerfacecolor : blue
lines.markeredgecolor : black
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/matplotlib.patches.html for more
# 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/matplotlib.font_manager.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 : New Century Schoolbook, Century Schoolbook L, 
Utopia, ITC Bookman, Bookman, Bitstream Vera Serif, Nimbus Roman No9 L, 
Times New Roman, Times, Palatino, Charter, serif
font.sans-serif : Lucida Grande, Verdana, Geneva, Lucida, Bitstream 
Vera Sans, 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 : Andale Mono, Bitstream Vera Sans Mono, Nimbus Mono 
L, Courier New, Courier, Fixed, Terminal, monospace
### TEXT
# text properties used by text.Text. See
# http://matplotlib.sourceforge.net/matplotlib.text.html for more
# information on text properties
text.color : black
text.usetex : False # use latex for all text handling. For 
more information, see
 # 
http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
text.dvipnghack : False # some versions of dvipng don't handle
 # alpha channel properly. Use True to 
correct and flush
 # ~/.matplotlib/tex.cache before testing
### AXES
# default face and edge color, default tick sizes,
# default fontsizes for ticklabels, and so on. See
# http://matplotlib.sourceforge.net/matplotlib.axes.html#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 : 14 # fontsize of the axes title
axes.labelsize : 12 # fontsize of the x any y labels
axes.labelcolor : black
polaraxes.grid : True # display grid on polar axes
### TICKS
# see http://matplotlib.sourceforge.net/matplotlib.axis.html#Ticks
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 : 12 # 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 : 12 # 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.isaxes	:	True
legend.numpoints 	:	4 # the number of points in the legend line
legend.fontsize : 14
legend.pad 	:	0.2 # the fractional whitespace inside the legend border
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/matplotlib.figure.html#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 : free # free | preserve
image.interpolation : bilinear # see help(imshow) for options
image.cmap : jet # gray | jet
image.lut : 256 # the size of the colormap lookup table
image.origin : upper # lower | upper
### SAVING FIGURES
# the default savefig params can be different for the GUI backends.
# 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
# tk backend params
tk.window_focus : False # Maintain shell focus for TkAgg
tk.pythoninspect : False # tk sets PYTHONINSEPCT
# ps backend params
ps.papersize : letter # executive, letter, legal, ledger, A0-A10, 
B0-B6, C0-C6
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
# Set the verbose flags. This controls how much information
# matplotlib gives you at runtime and where it goes. Ther verbosity
# levels are: silent, helpful, debug, debug-annoying. Any level is
# inclusive of all the levels below it. If you 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 : helpful # one of silent, helpful, debug, debug-annoying
verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr
Using the new pyreadline (thanks for participating in the testing!)
Python 2.4.3 (#69, Mar 29 2006, 17:35:34) [MSC v.1310 32 bit (Intel)]
Type "copyright", "credits" or "license" for more information.
==========================================================================
IPython 0.7.2.rc1 -- An enhanced Interactive Python.
? -> Introduction to IPython's features.
%magic -> Information about IPython's 'magic' % functions.
help -> Python's own help system.
object? -> Details about 'object'. ?object also works, ?? prints more.
In [1]: from pylab import *
C:\Python24\lib\site-packages\matplotlib\__init__.py:947: UserWarning: 
Bad val "
free" on line #199
 "image.aspect : free # free | preserve"
 in file "C:\Documents and Settings\norman\.matplotlib\matplotlibrc"
 not a valid aspect specification
 warnings.warn('Bad val "%s" on line #%d\n\t"%s"\n\tin file 
"%s"\n\t%s' % (
loaded rc file C:\Documents and Settings\norman\.matplotlib\matplotlibrc
matplotlib version 0.87.3
verbose.level debug
interactive is False
platform is win32
loaded modules: ['IPython.Prompts', 'IPython.pickleshare', '_bisect', 
'distutils
', 'IPython.iplib', 'IPython.signal', 'random', 'IPython.FakeModule', 
'ctypes.os
', 'gc', 'matplotlib.tempfile', 'IPython.bdb', 'distutils.sysconfig', 
'ctypes._e
ndian', 'pytz.datetime', 'IPython.time', 'msvcrt', 
'IPython.ipy_system_conf', 's
truct', 're', 'tempfile', 'pyreadline._ctypes', 'pprint', 
'IPython.copy_reg', 'i
mp', 'IPython.OInspect', 'collections', 'IPython.pydoc', 'pylab', 
'IPython.cStri
ngIO', 'IPython.rlineimpl', 'zipimport', 'string', 
'pyreadline.traceback', 'IPyt
hon.winconsole', 'repr', 'matplotlib.__future__', 'IPython.cmd', 
'datetime', 'IP
ython.Itpl', 'IPython.Debugger', 'distutils.re', 'IPython.excolors', 
'IPython.Qu
eue', 'IPython.os', 'pyreadline.rlmain', 'bisect', 'pyreadline.re', 
'signal', 'c
md', 'IPython.atexit', 'pydoc', 'pyreadline.console', 'token', 
'IPython.ctypes',
 'shlex', 'IPython.glob', 'IPython.shlex', 'IPython.site', 
'IPython.exceptions',
 'IPython.new', 'IPython.struct', 'dis', 'cStringIO', 
'IPython.wildcard', 'local
e', 'IPython.path', 'Queue', 'pyreadline.string', 'ipy_user_conf', 
'IPython.type
s', 'operator', 'IPython.commands', 'encodings', 
'IPython.platutils_win32', 'pyr
eadline.os', 'IPython.threading', 'bdb', 'IPython.ConfigLoader', 
'pyreadline.glo
b', 'IPython.CrashHandler', 'pyreadline.ctypes', 'matplotlib.sys', 
'encodings.ty
pes', 'ntpath', 'threading', 'new', 'pyreadline.exceptions', 'math', 
'IPython.pl
atutils_dummy', 'IPython.profile', 'IPython.ColorANSI', 'dateutil', 
'optparse',
'UserDict', 'inspect', 'distutils.os', '_ctypes', 'IPython.hooks', 
'exceptions',
 'ctypes', 'pyreadline', 'ctypes.struct', 'codecs', 'path', 
'pickleshare', 'pytz
.bisect', 'md5', 'pyreadline.winconstants', 'commands', 'socket', 
'thread', 'sre
', 'IPython.StringIO', 'traceback', 'IPython.pstats', 'itertools', 
'opcode', 'IP
ython.msvcrt', 'pstats', 'IPython.tokenize', 'distutils.sys', 'os', 
'pdb', 'ext_
rescapture', 'ipy_system_conf', 'IPython.traceback', '__future__', 
'_sre', 'IPyt
hon.Shell', 'IPython.ipmaker', '__builtin__', 'pyreadline.operator', 
'matplotlib
.re', 'pyreadline.math', 'IPython', 'distutils.string', 
'ctypes._ctypes', 'ctype
s.sys', 'matplotlib.datetime', 'IPython.codeop', 'errno', '_socket', 
'binascii',
 'IPython.sys', 'IPython.re', 'sre_constants', 'pyreadline.init_rl', 
'IPython.pl
atutils_posix', 'pyreadline.clipboard', 'matplotlib.md5', 'types', 
'IPython.genu
tils', 'tokenize', 'IPython.pdb', 'matplotlib.warnings', 
'pyreadline.logger', 'm
atplotlib.dateutil', 'cPickle', 'pytz.sys', 'IPython.platutils', 
'IPython.macro'
, '_codecs', 'IPython.token', '_locale', 'encodings.cp1252', 
'IPython.IPython',
'IPython.string', 'pytz', 'IPython.__builtin__', 'clearcmd', 'copy', 
'ext_rehash
dir', 'matplotlib.os', 'IPython.socket', 'pyreadline.keysyms', 
'keyword', 'atexi
t', 'pyreadline.sys', 'StringIO', 'IPython.linecache', 
'IPython.ipstruct', 'IPyt
hon.__main__', 'encodings.aliases', 'fnmatch', 'sre_parse', 
'IPython.ultraTB', '
pickle', 'IPython.tempfile', 'IPython.Release', 'IPython.OutputTrap', 
'copy_reg'
, 'sre_compile', '_random', 'IPython.ipy_user_conf', 'site', 
'IPython.getopt', '
ctypes.itertools', 'IPython.inspect', '__main__', 'shutil', 
'IPython.Magic', 'IP
ython.pprint', 'strop', 'IPython.bisect', 'IPython.PyColorize', 
'IPython.textwra
p', 'IPython.shutil', 'encodings.codecs', 'gettext', 
'IPython.pyreadline', 'pspe
rsistence', 'IPython.Logger', 'getopt', 'encodings.exceptions', 'nt', 
'pytz.sets
', 'profile', 'IPython.readline', 'stat', '_ssl', 'warnings', 
'IPython.deep_relo
ad', 'IPython.imp', 'glob', 'sets', 'textwrap', 'sys', 'ctypes.ctypes', 
'codeop'
, 'readline', 'IPython.keyword', 'os.path', 'matplotlib', 
'IPython.background_jo
bs', 'IPython.DPyGetOpt', 'IPython.cPickle', 'IPython.usage', 
'matplotlib.distut
ils', 'pytz.tzinfo', 'distutils.errors', 'marshal', 
'IPython.__future__', 'linec
ache', 'matplotlib.shutil', 'IPython.completer', 'time', 
'matplotlib.pytz', 'pyr
eadline.release', 'IPython.ipapi']
numerix numpy 0.9.8
font search path ['C:\\Python24\\Lib\\site-packages\\matplotlib\\mpl-data']
---------------------------------------------------------------------------
exceptions.TypeError Traceback (most 
recent call
 last)
C:\Documents and Settings\norman\<ipython console>
C:\Python24\Lib\site-packages\pylab.py
----> 1 from matplotlib.pylab import *
C:\Python24\Lib\site-packages\matplotlib\pylab.py
 198 import mlab #so I can override hist, psd, etc...
 199
--> 200 from axes import Axes, PolarAxes
 201 import backends
 202 from cbook import flatten, is_string_like, exception_to_str, 
popd, \
C:\Python24\Lib\site-packages\matplotlib\axes.py
 13 import matplotlib.mlab
 14 from artist import Artist, setp
---> 15 from axis import XAxis, YAxis
 16 from cbook import iterable, is_string_like, flatten, enumerate, \
 17 allequal, dict_delall, popd, popall, silent_list
C:\Python24\Lib\site-packages\matplotlib\axis.py
 23 from transforms import Value, blend_xy_sep_transform,\
 24 translation_transform, bbox_all, identity_transform
---> 25 from font_manager import FontProperties
 26 from text import Text, TextWithDash, _process_text_args
 27 from patches import bbox_artist
C:\Python24\Lib\site-packages\matplotlib\font_manager.py
 987 warnings.warn('Could not match %s, %s, %s. Returning 
%s' % (nam
e, style, variant, self.defaultFont))
 988
 989 return self.defaultFont
 990
--> 991 fontManager = FontManager()
C:\Python24\Lib\site-packages\matplotlib\font_manager.py in 
__init__(self, size,
 weight)
 795 # Load TrueType fonts and create font dictionary.
 796
--> 797 self.ttffiles = findSystemFonts(paths) + findSystemFonts()
 798
 799 for fname in self.ttffiles:
C:\Python24\Lib\site-packages\matplotlib\font_manager.py in 
findSystemFonts(font
paths, fontext)
 194 fontpaths = [fontdir]
 195 # now get all installed fonts directly...
--> 196 for f in win32InstalledFonts(fontdir):
 197 base, ext = os.path.splitext(f)
 198 if len(ext)>1 and ext[1:].lower()==fontext:
C:\Python24\Lib\site-packages\matplotlib\font_manager.py in 
win32InstalledFonts(
directory, fontext)
 120 try:
 121 key, direc, any = _winreg.EnumValue( local, j)
--> 122 if not os.path.dirname(direc):
 123 direc = os.path.join(directory, direc)
 124 direc = os.path.abspath(direc).lower()
C:\Python24\lib\ntpath.py in dirname(p)
 205 def dirname(p):
 206 """Returns the directory component of a pathname"""
--> 207 return split(p)[0]
 208
 209
C:\Python24\lib\ntpath.py in split(p)
 162 Either part may be empty."""
 163
--> 164 d, p = splitdrive(p)
 165 # set i to index beyond p's last slash
 166 i = len(p)
C:\Python24\lib\ntpath.py in splitdrive(p)
 117 """Split a pathname into drive and path specifiers. Returns 
a 2-tupl
e
 118 "(drive,path)"; either part may be empty"""
--> 119 if p[1:2] == ':':
 120 return p[0:2], p[2:]
 121 return '', p
TypeError: unsubscriptable object
In [2]:
-- 
--

On 6/13/06, massimo sandal <mas...@un...> wrote:
> 5-minute googling lets me wonder if it's a problem with os.utime() not
> always playing nice with fat32 partitions... odd because on my previous
> debian sarge with the same configuration, it didn't complain.
Could be, but I'm not really sure. It would certainly be nice if the
python docs listed this as a limitation of shutil (if it is one).
Sorry but I won't be able to spend any further time on this one, I'm
afraid. I don't know of what reasonable workaround mpl could use
instead of shutil, which is supposed to be precisely a portability
layer against this kind of problem.
Cheers,
f

>>>>> "John" == John Pye <joh...@st...> writes:
 John> Hi John, The image is correct when plotted using
 John> i=imread('plot.png') then imshow(i), but I want to add
 John> axes. I generated the image directly using GTK commands,
 John> then saved the pixbuf as png. The pixels in the image
 John> correspond to sample points in both x- and y-directions
 John> generated using exp(linspace(log(low),log(high),num). Why is
 John> there no logspace in matplotlib, btw?
I'll be happy to add it -- how about sending a version?
 John> All I basically need is a way to say what the range and
 John> distribution of the pixels is: I don't want the axes to
 John> default to integer-numbered linear-spaced values as they
 John> currently do.
 John> I tried to see if I could use the set_xscale command but it
 John> seems to be internal and/or only applicable to polar plots?
setting the xscale and yscale to 'log' should work fine, as long as
you make sure the xaxis and yaxis do not contain nonpositive limits.
For an MxN image, the default limits are 0..N-1 and 0..M-1 and the 0
will break the log transform. You can work around this by setting the
image "extent"
 from pylab import figure, show, nx
 fig = figure()
 ax = fig.add_subplot(111)
 im = nx.mlab.rand(500,500)
 ax.imshow(im, extent=(1,501,1,501))
 ax.set_xscale('log')
 ax.set_yscale('log')
 show()
Hope this helps,
JDH

Fernando Perez ha scritto:
> This shows the benefits of 'xmode verbose' :) There's enough info in
> that traceback to understand the problem:
> This is the call that fails. To confirm this is the problem, try:
> 
> shutil.move('/tmp/foo','/fat32partition/foo')
> With any valid /tmp/foo file and your actual path to your fat32
> partition. 
Yes, it fails in the same way:
In [5]: xmode verbose
Exception reporting mode: Verbose
In [6]: shutil.move('/tmp/tmp_Tzxny','/users/Massimo/')
---------------------------------------------------------------------------
exceptions.OSError Traceback (most 
recent call last)
/home/massimo/<ipython console>
/usr/lib/python2.4/shutil.py in move(src='/tmp/tmp_Tzxny', 
dst='/users/Massimo/')
 191 rmtree(src)
 192 else:
--> 193 copy2(src,dst)
 global copy2 = <function copy2 at 0xb7d8bb1c>
 src = '/tmp/tmp_Tzxny'
 dst = '/users/Massimo/'
 194 os.unlink(src)
 195
/usr/lib/python2.4/shutil.py in copy2(src='/tmp/tmp_Tzxny', 
dst='/users/Massimo/tmp_Tzxny')
 91 dst = os.path.join(dst, os.path.basename(src))
 92 copyfile(src, dst)
---> 93 copystat(src, dst)
 global copystat = <function copystat at 0xb7d8baac>
 src = '/tmp/tmp_Tzxny'
 dst = '/users/Massimo/tmp_Tzxny'
 94
 95
/usr/lib/python2.4/shutil.py in copystat(src='/tmp/tmp_Tzxny', 
dst='/users/Massimo/tmp_Tzxny')
 66 mode = stat.S_IMODE(st.st_mode)
 67 if hasattr(os, 'utime'):
---> 68 os.utime(dst, (st.st_atime, st.st_mtime))
 global os.utime = <built-in function utime>
 dst = '/users/Massimo/tmp_Tzxny'
 st.st_atime = 1150188691
 st.st_mtime = 1149762561
 69 if hasattr(os, 'chmod'):
 70 os.chmod(dst, mode)
OSError: [Errno 1] Operation not permitted: '/users/Massimo/tmp_Tzxny'
> which in turn tries to call utime():
> 
>> /usr/lib/python2.4/shutil.py in
>> copystat(src='/tmp/caba709a5ee736ae3148af077a1a9a38', dst='prova.eps')
>> 66 mode = stat.S_IMODE(st.st_mode)
>> 67 if hasattr(os, 'utime'):
>> ---> 68 os.utime(dst, (st.st_atime, st.st_mtime))
>> global os.utime = <built-in function utime>
>> dst = 'prova.eps'
>> st.st_atime = 1150101622
>> st.st_mtime = 1150101622
>> 69 if hasattr(os, 'chmod'):
>> 70 os.chmod(dst, mode)
>>
>> OSError: [Errno 1] Operation not permitted: 'prova.eps'
> 
> is somehow not OK for fat32 partitions, or because you don't have the
> right permissions on your system.
 > You need to be sure that you have your fat32 partition mounted with
 > the right user permissions, otherwise things like these can fail.
My /etc/mtab line for the partition is as follows:
/dev/hda7 /users vfat rw,utf8,umask=000,gid=46 0 0
this should mean everyone has full permissions on the partition, isn't it?
> At this point, it's not yet clear if this is a problem with backend_ps
> in mpl or your permissions configuration.
5-minute googling lets me wonder if it's a problem with os.utime() not 
always playing nice with fat32 partitions... odd because on my previous 
debian sarge with the same configuration, it didn't complain.
m.
-- 
Massimo Sandal
University of Bologna
Department of Biochemistry "G.Moruzzi"
snail mail:
Via Irnerio 48, 40126 Bologna, Italy
email:
mas...@un...
tel: +39-051-2094388
fax: +39-051-2094387

Hi John,
The image is correct when plotted using i=imread('plot.png') then
imshow(i), but I want to add axes. I generated the image directly using
GTK commands, then saved the pixbuf as png. The pixels in the image
correspond to sample points in both x- and y-directions generated using
exp(linspace(log(low),log(high),num). Why is there no logspace in
matplotlib, btw?
All I basically need is a way to say what the range and distribution of
the pixels is: I don't want the axes to default to integer-numbered
linear-spaced values as they currently do.
I tried to see if I could use the set_xscale command but it seems to be
internal and/or only applicable to polar plots?
There's an ASCII mockup of what I'm wanting below. As I said, the image
doesn't need to be stretched, just stuck straight on the right axes.
Cheers
JP
10 +-----|-----|-----+
 | |
 | |
 1 + + + +
 | |
 | my image here |
0.1+ + + +
 | |
 | |
e-3+-----+-----+-----+
 0.1 1 10 100
John Hunter wrote:
>>>>>> "John" == John Pye <joh...@st...> writes:
>>>>>> 
>
> John> Hi all, I have a PNG image that I would like to mount on
> John> log-log axes. The points in the image correspond to computed
> John> values on a log-log scale, so no scaling of the image is
> John> required: I just want to stick it on top of suitably-marked
> John> axes. It would be great if I could then overlay some dot
> John> points as well.
>
> John> Is this possible with matplotlib? Can anyone give me some
> John> pointers on how to do it? Or a better tool for this?
>
> I'm not sure from your post if the log scale applies to the implicit
> xy coords of the pixels, or to the intensity of the pixels. I'm
> assuming the former below (if it's the latter you probably want custom
> normalize and colormap objects).
>
> logarithmic xy pixel locations may be possible with a NonuniformImage.
> Take a look at the following for example code
>
> http://article.gmane.org/gmane.comp.python.matplotlib.general/4050
>
> I'm not sure that this will work since I haven't tried it, but it's
> the best bet as far as I can see. 
>
> See how far you can get with it and if you get stuck, post a code
> example and CC Nicholas and we'll see if we can progress.
>
> JDH
>
>
> 
-- 
John Pye
School of Mechanical and Manufacturing Engineering
The University of New South Wales
Sydney NSW 2052 Australia
t +61 2 9385 5127
f +61 2 9663 1222
mailto:john.pye_AT_student_DOT_unsw.edu.au
http://pye.dyndns.org/

>>>>> "John" == John Pye <joh...@st...> writes:
 John> Hi all, I have a PNG image that I would like to mount on
 John> log-log axes. The points in the image correspond to computed
 John> values on a log-log scale, so no scaling of the image is
 John> required: I just want to stick it on top of suitably-marked
 John> axes. It would be great if I could then overlay some dot
 John> points as well.
 John> Is this possible with matplotlib? Can anyone give me some
 John> pointers on how to do it? Or a better tool for this?
I'm not sure from your post if the log scale applies to the implicit
xy coords of the pixels, or to the intensity of the pixels. I'm
assuming the former below (if it's the latter you probably want custom
normalize and colormap objects).
logarithmic xy pixel locations may be possible with a NonuniformImage.
Take a look at the following for example code
 http://article.gmane.org/gmane.comp.python.matplotlib.general/4050
I'm not sure that this will work since I haven't tried it, but it's
the best bet as far as I can see. 
See how far you can get with it and if you get stuck, post a code
example and CC Nicholas and we'll see if we can progress.
JDH

Hi all,
I have a PNG image that I would like to mount on log-log axes. The
points in the image correspond to computed values on a log-log scale, so
no scaling of the image is required: I just want to stick it on top of
suitably-marked axes. It would be great if I could then overlay some dot
points as well.
Is this possible with matplotlib? Can anyone give me some pointers on
how to do it? Or a better tool for this?
Cheers
JP
-- 
John Pye
School of Mechanical and Manufacturing Engineering
The University of New South Wales
Sydney NSW 2052 Australia
t +61 2 9385 5127
f +61 2 9663 1222
mailto:john.pye_AT_student_DOT_unsw.edu.au
http://pye.dyndns.org/