matplotlib-checkins Mailing List for matplotlib (Page 219)

Revision: 3536
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=3536&view=rev
Author: edin1
Date: 2007年07月16日 01:01:21 -0700 (2007年7月16日)
Log Message:
-----------
Cleaned up setup.py. Removed references to Python 2.2, distutils.
Modified Paths:
--------------
 trunk/matplotlib/setup.py
Modified: trunk/matplotlib/setup.py
===================================================================
--- trunk/matplotlib/setup.py	2007年07月16日 07:47:32 UTC (rev 3535)
+++ trunk/matplotlib/setup.py	2007年07月16日 08:01:21 UTC (rev 3536)
@@ -1,8 +1,4 @@
 """
-Note! If you are building for python2.2, you must comment out the
-py_modules line below and manually copy lib/pylab.py to
-site-packages/pylab.py
-
 You will need to have freetype, libpng and zlib installed to compile
 matplotlib, inlcuding the *-devel versions of these libraries if you
 are using a package manager like RPM or debian.
@@ -62,8 +58,6 @@
 import sys
 major, minor1, minor2, s, tmp = sys.version_info
 
-if major==2 and minor1==2:
- print >> sys.stderr, "***\n\nWARNING, see build info for python2.2 in the header of setup.py\n\n***"
 if major==2 and minor1<=3:
 # setuptools monkeypatches distutils.core.Distribution to support
 # package_data
@@ -78,12 +72,13 @@
 directory.""")
 
 import glob
-from distutils.core import Extension, setup
+#from distutils.core import Extension, setup
+from setuptools import setup
 from setupext import build_agg, build_gtkagg, build_tkagg, build_wxagg,\
 build_ft2font, build_image, build_windowing, build_transforms, \
 build_contour, build_nxutils, build_enthought, build_swigagg, build_gdk, \
 build_subprocess, build_ttconv
-import distutils.sysconfig
+#import distutils.sysconfig
 
 for line in file('lib/matplotlib/__init__.py').readlines():
 if line[:11] == '__version__':
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Revision: 3535
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=3535&view=rev
Author: efiring
Date: 2007年07月16日 00:47:32 -0700 (2007年7月16日)
Log Message:
-----------
Improved docstring for matplotlib package
Modified Paths:
--------------
 trunk/matplotlib/lib/matplotlib/__init__.py
Modified: trunk/matplotlib/lib/matplotlib/__init__.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/__init__.py	2007年07月16日 02:16:22 UTC (rev 3534)
+++ trunk/matplotlib/lib/matplotlib/__init__.py	2007年07月16日 07:47:32 UTC (rev 3535)
@@ -1,144 +1,57 @@
 """
 This is an object-orient plotting library.
 
-The following matlab(TM) compatible commands are provided by
+A procedural interface is provided by the companion pylab
+module, which may be imported directly, e.g.
 
- >>> from pylab import *
+ from pylab import *
 
-Plotting commands
+or using ipython:
 
- axes - Create a new axes
- axhline - draw a horizontal line across axes
- axvline - draw a vertical line across axes
- axhspan - draw a horizontal bar across axes
- axvspan - draw a vertical bar across axes
- axis - Set or return the current axis limits
- bar - make a bar chart
- barh - a horizontal bar chart
- boxplot - make a box and whisker plot
- cla - clear current axes
- clf - clear a figure window
- close - close a figure window
- colorbar - add a colorbar to the current figure
- cohere - make a plot of coherence
- contour - make a contour plot
- csd - make a plot of cross spectral density
- draw - Force a redraw of the current figure
- errorbar - make an errorbar graph
- figlegend - make legend on the figure rather than the axes
- figimage - make a figure image
- figtext - add text in figure coords
- figure - create or change active figure
- fill - make filled polygons
- gca - return the current axes
- gcf - return the current figure
- gci - get the current image, or None
- get - get a handle graphics property
- gray - set the current colormap to gray
- jet - set the current colormap to jet
- hist - make a histogram
- hold - set the axes hold state
- legend - make an axes legend
- loglog - a log log plot
- imread - load image file into array
- imshow - plot image data
- pcolor - make a pseudocolor plot
- plot - make a line plot
- psd - make a plot of power spectral density
- rc - control the default params
- savefig - save the current figure
- scatter - make a scatter plot
- set - set a handle graphics property
- semilogx - log x axis
- semilogy - log y axis
- show - show the figures
- specgram - a spectrogram plot
- stem - make a stem plot
- subplot - make a subplot (numrows, numcols, axesnum)
- table - add a table to the plot
- text - add some text at location x,y to the current axes
- title - add a title to the current axes
- xlim - set/get the xlimits
- ylim - set/get the ylimits
- xticks - set/get the xticks
- yticks - set/get the yticks
- xlabel - add an xlabel to the current axes
- ylabel - add a ylabel to the current axes
+ ipython -pylab
 
-Matrix commands
+For the most part, direct use of the object-oriented library
+is encouraged when programming rather than working
+interactively. The exceptions are the pylab commands
+figure(), subplot(), show(), and savefig(), which can
+greatly simplify scripting.
 
- cumprod - the cumulative product along a dimension
- cumsum - the cumulative sum along a dimension
- detrend - remove the mean or besdt fit line from an array
- diag - the k-th diagonal of matrix
- diff - the n-th differnce of an array
- eig - the eigenvalues and eigen vectors of v
- eye - a matrix where the k-th diagonal is ones, else zero
- find - return the indices where a condition is nonzero
- fliplr - flip the rows of a matrix up/down
- flipud - flip the columns of a matrix left/right
- linspace - a linear spaced vector of N values from min to max inclusive
- ones - an array of ones
- rand - an array from the uniform distribution [0,1]
- randn - an array from the normal distribution
- rot90 - rotate matrix k*90 degress counterclockwise
- squeeze - squeeze an array removing any dimensions of length 1
- tri - a triangular matrix
- tril - a lower triangular matrix
- triu - an upper triangular matrix
- vander - the Vandermonde matrix of vector x
- svd - singular value decomposition
- zeros - a matrix of zeros
+Modules include:
+ axes: defines the Axes class. Most pylab commands are
+ wrappers for Axes methods. The axes module is the
+ highest level of OO access to the library.
+ figure: defines Figure class.
+ artist: defines the Artist base class for all classes
+ that draw things.
+ line: defines Line2D class for drawing lines and markers
+ patches: defines classes for drawing polygons
+ text: defines Text, TextWithDash, and Annotate classes
+ image: defines AxesImage and FigureImage classes
+ collections: classes for efficient drawing of groups of
+ lines or polygons
+ colors: classes for interpreting color specifications
+ and for making colormaps
+ cm: colormaps and the ScalarMappable mixin class for
+ providing color mapping functionality to other
+ classes
+ ticker: classes for calculating tick mark locations and
+ for formatting tick labels
+ backends: a subpackage with modules for various gui
+ libraries and output formats
 
-Probability
+The base matplotlib namespace includes:
+ rcParams: a dictionary of default configuration
+ settings. It is initialized by code which may be
+ overridded by a matplotlibrc file.
+ rc(): a function for setting groups of rcParams values
+ use(): a function for setting the matplotlib backend.
+ If used, this function must be called immediately
+ after importing matplotlib for the first time. In
+ particular, it must be called *before* importing
+ pylab (if pylab is imported).
 
- levypdf - The levy probability density function from the char. func.
- normpdf - The Gaussian probability density function
- rand - random numbers from the uniform distribution
- randn - random numbers from the normal distribution
-
-Statistics
-
- corrcoef - correlation coefficient
- cov - covariance matrix
- max - the maximum along dimension m
- mean - the mean along dimension m
- median - the median along dimension m
- min - the minimum along dimension m
- norm - the norm of vector x
- prod - the product along dimension m
- ptp - the max-min along dimension m
- std - the standard deviation along dimension m
- sum - the sum along dimension m
-
-Time series analysis
-
- bartlett - M-point Bartlett window
- blackman - M-point Blackman window
- cohere - the coherence using average periodiogram
- csd - the cross spectral density using average periodiogram
- fft - the fast Fourier transform of vector x
- hamming - M-point Hamming window
- hanning - M-point Hanning window
- hist - compute the histogram of x
- kaiser - M length Kaiser window
- psd - the power spectral density using average periodiogram
- sinc - the sinc function of array x
-
-Other
-
- angle - the angle of a complex array
- polyfit - fit x, y to an n-th order polynomial
- polyval - evaluate an n-th order polynomial
- roots - the roots of the polynomial coefficients in p
- trapz - trapezoidal integration
-
-
-Credits: The plotting commands were provided by
-John D. Hunter <jdh...@ac...>
-
-Most of the other commands are from the Numeric, MLab and FFT, with
-the exception of those in mlab.py provided by matplotlib.
+matplotlib is written by John D. Hunter (jdh2358 at
+gmail.com).
 """
 from __future__ import generators
 
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Revision: 3534
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=3534&view=rev
Author: pkienzle
Date: 2007年07月15日 19:16:22 -0700 (2007年7月15日)
Log Message:
-----------
Don't release mouse unless it is captured
Modified Paths:
--------------
 trunk/matplotlib/lib/matplotlib/backends/backend_wx.py
Modified: trunk/matplotlib/lib/matplotlib/backends/backend_wx.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/backends/backend_wx.py	2007年07月16日 00:40:38 UTC (rev 3533)
+++ trunk/matplotlib/lib/matplotlib/backends/backend_wx.py	2007年07月16日 02:16:22 UTC (rev 3534)
@@ -1177,7 +1177,7 @@
 x = evt.GetX()
 y = self.figure.bbox.height() - evt.GetY()
 evt.Skip()
- self.ReleaseMouse()
+ if self.HasCapture(): self.ReleaseMouse()
 FigureCanvasBase.button_release_event(self, x, y, 3, guiEvent=evt)
 
 def _onLeftButtonDown(self, evt):
@@ -1194,7 +1194,7 @@
 y = self.figure.bbox.height() - evt.GetY()
 #print 'release button', 1
 evt.Skip()
- self.ReleaseMouse()
+ if self.HasCapture(): self.ReleaseMouse()
 FigureCanvasBase.button_release_event(self, x, y, 1, guiEvent=evt)
 
 def _onMouseWheel(self, evt):
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Revision: 3533
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=3533&view=rev
Author: efiring
Date: 2007年07月15日 17:40:38 -0700 (2007年7月15日)
Log Message:
-----------
Improved docstrings, mainly annotate, base pylab
Modified Paths:
--------------
 trunk/matplotlib/lib/matplotlib/__init__.py
 trunk/matplotlib/lib/matplotlib/artist.py
 trunk/matplotlib/lib/matplotlib/axes.py
 trunk/matplotlib/lib/matplotlib/cbook.py
 trunk/matplotlib/lib/matplotlib/pylab.py
 trunk/matplotlib/lib/matplotlib/text.py
 trunk/matplotlib/lib/pylab.py
Modified: trunk/matplotlib/lib/matplotlib/__init__.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/__init__.py	2007年07月15日 15:33:02 UTC (rev 3532)
+++ trunk/matplotlib/lib/matplotlib/__init__.py	2007年07月16日 00:40:38 UTC (rev 3533)
@@ -1,5 +1,5 @@
 """
-This is a matlab(TM) style functional interface the matplotlib.
+This is an object-orient plotting library.
 
 The following matlab(TM) compatible commands are provided by
 
@@ -901,4 +901,4 @@
 basemod = __import__(wholename)
 mod = getattr(basemod, name)
 setattr(self, name, mod)
- 
+
Modified: trunk/matplotlib/lib/matplotlib/artist.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/artist.py	2007年07月15日 15:33:02 UTC (rev 3532)
+++ trunk/matplotlib/lib/matplotlib/artist.py	2007年07月16日 00:40:38 UTC (rev 3533)
@@ -136,19 +136,19 @@
 if hasattr(self,'get_children'):
 for a in self.get_children(): L.extend(a.hitlist(event))
 return L
- 
+
 def contains(self,mouseevent):
- """Test whether the artist contains the mouse event. 
- 
- Returns the truth value and a dictionary of artist specific details of 
- selection, such as which points are contained in the pick radius. See 
+ """Test whether the artist contains the mouse event.
+
+ Returns the truth value and a dictionary of artist specific details of
+ selection, such as which points are contained in the pick radius. See
 individual artists for details.
 """
 if callable(self._contains): return self._contains(self,mouseevent)
 #raise NotImplementedError,str(self.__class__)+" needs 'contains' method"
 print str(self.__class__)+" needs 'contains' method"
 return False,{}
- 
+
 def set_contains(self,picker):
 """Replace the contains test used by this artist. The new picker should
 be a callable function which determines whether the artist is hit by the
@@ -156,7 +156,7 @@
 
 hit, props = picker(artist, mouseevent)
 
- If the mouse event is over the artist, return hit=True and props 
+ If the mouse event is over the artist, return hit=True and props
 is a dictionary of properties you want returned with the contains test.
 """
 self._contains = picker
@@ -680,7 +680,7 @@
 return [x for x in flatten(ret)]
 
 def kwdoc(a):
- return '\n'.join(ArtistInspector(a).pprint_setters(leadingspace=8))
+ return '\n'.join(ArtistInspector(a).pprint_setters(leadingspace=4))
 
 kwdocd = dict()
 kwdocd['Artist'] = kwdoc(Artist)
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py	2007年07月15日 15:33:02 UTC (rev 3532)
+++ trunk/matplotlib/lib/matplotlib/axes.py	2007年07月16日 00:40:38 UTC (rev 3533)
@@ -9,8 +9,8 @@
 rcParams = matplotlib.rcParams
 
 # import a bunch of matplotlib modules into a single namespace
-mpl = matplotlib.Importer("""artist, agg, axis, cbook, collections, colors, 
- contour, dates, font_manager, image, legend, lines, mlab, cm, 
+mpl = matplotlib.Importer("""artist, agg, axis, cbook, collections, colors,
+ contour, dates, font_manager, image, legend, lines, mlab, cm,
 patches, quiver, table, text, ticker, transforms""")
 
 def delete_masked_points(*args):
@@ -2136,10 +2136,11 @@
 
 def annotate(self, *args, **kwargs):
 """
- annotate(self, s, xy, textloc,
- xycoords='data', textcoords='data',
- lineprops=None,
- markerprops=None
+ annotate(s, xy,
+ xytext=None,
+ xycoords='data',
+ textcoords='data',
+ arrowprops=None,
 **props)
 
 %(Annotation)s
@@ -4242,7 +4243,7 @@
 axes.fill(xs, ys, facecolor='red', alpha=0.5)
 
 See examples/fill_between.py for more examples.
- 
+
 kwargs control the Polygon properties:
 %(Polygon)s
 """
Modified: trunk/matplotlib/lib/matplotlib/cbook.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/cbook.py	2007年07月15日 15:33:02 UTC (rev 3532)
+++ trunk/matplotlib/lib/matplotlib/cbook.py	2007年07月16日 00:40:38 UTC (rev 3533)
@@ -546,7 +546,7 @@
 """
 if not s: # includes case of s is None
 return ''
- lines = s.splitlines(True)
+ lines = s.splitlines(False)
 ii = 0
 while lines[ii].strip() == '':
 ii += 1
@@ -555,7 +555,7 @@
 for i, line in enumerate(lines):
 nwhite = len(line) - len(line.lstrip())
 lines[i] = line[min(nshift, nwhite):]
- return ''.join(lines)
+ return '\n'.join(lines)
 
 
 
@@ -906,7 +906,7 @@
 outstream.write(repr(step))
 outstream.write(" ->\n")
 outstream.write("\n")
- 
+
 def recurse(obj, start, all, current_path):
 if show_progress:
 outstream.write("%d\r" % len(all))
@@ -923,7 +923,7 @@
 # Don't go back through the original list of objects, or
 # through temporary references to the object, since those
 # are just an artifact of the cycle detector itself.
- elif referent is objects or isinstance(referent, FrameType): 
+ elif referent is objects or isinstance(referent, FrameType):
 continue
 
 # We haven't seen this object before, so recurse
Modified: trunk/matplotlib/lib/matplotlib/pylab.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/pylab.py	2007年07月15日 15:33:02 UTC (rev 3532)
+++ trunk/matplotlib/lib/matplotlib/pylab.py	2007年07月16日 00:40:38 UTC (rev 3533)
@@ -1,9 +1,9 @@
 """
-This is a procedural interface to matplotlib.
+This is a procedural interface to the matplotlib object-oriented
+plotting library.
 
-The following plotting commands are provided; some of these do not
-exist in matlab(TM) but have proven themselves to be useful nonetheless.
-The majority of them, however, have matlab analogs
+The following plotting commands are provided; the majority have
+Matlab(TM) analogs and similar argument.
 
 _Plotting commands
 acorr - plot the autocorrelation function
Modified: trunk/matplotlib/lib/matplotlib/text.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/text.py	2007年07月15日 15:33:02 UTC (rev 3532)
+++ trunk/matplotlib/lib/matplotlib/text.py	2007年07月16日 00:40:38 UTC (rev 3533)
@@ -94,36 +94,36 @@
 # class is build so we define an initial set here for the init
 # function and they will be overridden after object defn
 artist.kwdocd['Text'] = """\
- alpha: float
- animated: [True | False]
- backgroundcolor: any matplotlib color
- bbox: rectangle prop dict plus key 'pad' which is a pad in points
- clip_box: a matplotlib.transform.Bbox instance
- clip_on: [True | False]
- color: any matplotlib color
- family: [ 'serif' | 'sans-serif' | 'cursive' | 'fantasy' | 'monospace' ]
- figure: a matplotlib.figure.Figure instance
- fontproperties: a matplotlib.font_manager.FontProperties instance
- horizontalalignment or ha: [ 'center' | 'right' | 'left' ]
- label: any string
- linespacing: float
- lod: [True | False]
- multialignment: ['left' | 'right' | 'center' ]
- name or fontname: string eg, ['Sans' | 'Courier' | 'Helvetica' ...]
- position: (x,y)
- rotation: [ angle in degrees 'vertical' | 'horizontal'
- size or fontsize: [ size in points | relative size eg 'smaller', 'x-large' ]
- style or fontstyle: [ 'normal' | 'italic' | 'oblique']
- text: string
- transform: a matplotlib.transform transformation instance
- variant: [ 'normal' | 'small-caps' ]
- verticalalignment or va: [ 'center' | 'top' | 'bottom' ]
- visible: [True | False]
- weight or fontweight: [ 'normal' | 'bold' | 'heavy' | 'light' | 'ultrabold' | 'ultralight']
- x: float
- y: float
- zorder: any number
- """
+ alpha: float
+ animated: [True | False]
+ backgroundcolor: any matplotlib color
+ bbox: rectangle prop dict plus key 'pad' which is a pad in points
+ clip_box: a matplotlib.transform.Bbox instance
+ clip_on: [True | False]
+ color: any matplotlib color
+ family: [ 'serif' | 'sans-serif' | 'cursive' | 'fantasy' | 'monospace' ]
+ figure: a matplotlib.figure.Figure instance
+ fontproperties: a matplotlib.font_manager.FontProperties instance
+ horizontalalignment or ha: [ 'center' | 'right' | 'left' ]
+ label: any string
+ linespacing: float
+ lod: [True | False]
+ multialignment: ['left' | 'right' | 'center' ]
+ name or fontname: string eg, ['Sans' | 'Courier' | 'Helvetica' ...]
+ position: (x,y)
+ rotation: [ angle in degrees 'vertical' | 'horizontal'
+ size or fontsize: [ size in points | relative size eg 'smaller', 'x-large' ]
+ style or fontstyle: [ 'normal' | 'italic' | 'oblique']
+ text: string
+ transform: a matplotlib.transform transformation instance
+ variant: [ 'normal' | 'small-caps' ]
+ verticalalignment or va: [ 'center' | 'top' | 'bottom' ]
+ visible: [True | False]
+ weight or fontweight: [ 'normal' | 'bold' | 'heavy' | 'light' | 'ultrabold' | 'ultralight']
+ x: float
+ y: float
+ zorder: any number
+ """
 
 class Text(Artist):
 """
@@ -149,8 +149,10 @@
 **kwargs
 ):
 """
- Create a Text instance at x,y with string text. Valid kwargs are
- %(Text)s
+ Create a Text instance at x,y with string text.
+
+ Valid kwargs are
+ %(Text)s
 """
 
 Artist.__init__(self)
@@ -817,6 +819,7 @@
 
 return val
 
+artist.kwdocd['Text'] = artist.kwdoc(Text)
 
 
 class TextWithDash(Text):
@@ -1125,6 +1128,7 @@
 Text.set_figure(self, fig)
 self.dashline.set_figure(fig)
 
+artist.kwdocd['TextWithDash'] = artist.kwdoc(TextWithDash)
 
 class Annotation(Text):
 """
@@ -1134,8 +1138,8 @@
 def __str__(self):
 return "Annotation(%g,%g,%s)"%(self.xy[0],self.xy[1],self._text)
 def __init__(self, s, xy,
+ xytext=None,
 xycoords='data',
- xytext=None,
 textcoords=None,
 arrowprops=None,
 **kwargs):
@@ -1159,7 +1163,7 @@
 endpoints. ie, shrink=0.05 is 5%%
 - any key for matplotlib.patches.polygon
 
- xycoords and textcoords are a string that indicates the
+ xycoords and textcoords are strings that indicate the
 coordinates of xy and xytext.
 
 'figure points' : points from the lower left corner of the figure
@@ -1184,7 +1188,7 @@
 
 Additional kwargs are Text properties:
 
- %(Text)s
+ %(Text)s
 
 """
 if xytext is None:
@@ -1344,6 +1348,4 @@
 Text.draw(self, renderer)
 
 
-artist.kwdocd['Text'] = artist.kwdoc(Text)
-artist.kwdocd['TextWithDash'] = artist.kwdoc(TextWithDash)
-artist.kwdocd['Annotation'] = artist.kwdoc(Annotation)
+artist.kwdocd['Annotation'] = Annotation.__init__.__doc__
Modified: trunk/matplotlib/lib/pylab.py
===================================================================
--- trunk/matplotlib/lib/pylab.py	2007年07月15日 15:33:02 UTC (rev 3532)
+++ trunk/matplotlib/lib/pylab.py	2007年07月16日 00:40:38 UTC (rev 3533)
@@ -1 +1,3 @@
 from matplotlib.pylab import *
+import matplotlib.pylab
+__doc__ = matplotlib.pylab.__doc__
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Revision: 3532
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=3532&view=rev
Author: jdh2358
Date: 2007年07月15日 08:33:02 -0700 (2007年7月15日)
Log Message:
-----------
added agg buffer to numpy array example
Modified Paths:
--------------
 trunk/matplotlib/lib/matplotlib/backends/backend_agg.py
 trunk/matplotlib/lib/matplotlib/image.py
Added Paths:
-----------
 trunk/matplotlib/examples/agg_buffer_to_array.py
Added: trunk/matplotlib/examples/agg_buffer_to_array.py
===================================================================
--- trunk/matplotlib/examples/agg_buffer_to_array.py	 (rev 0)
+++ trunk/matplotlib/examples/agg_buffer_to_array.py	2007年07月15日 15:33:02 UTC (rev 3532)
@@ -0,0 +1,24 @@
+import matplotlib
+matplotlib.use('Agg')
+from pylab import figure, show
+import numpy as npy
+
+# make an agg figure
+fig = figure()
+ax = fig.add_subplot(111)
+ax.plot([1,2,3])
+ax.set_title('a simple figure')
+fig.canvas.draw()
+
+# grab rhe pixel buffer and dumpy it into a numpy array
+buf = fig.canvas.buffer_rgba(0,0)
+l, b, w, h = fig.bbox.get_bounds()
+X = npy.fromstring(buf, npy.uint8)
+X.shape = h,w,4
+
+# now display the array X as an Axes in a new figure
+fig2 = figure()
+ax2 = fig2.add_subplot(111, frameon=False)
+ax2.imshow(X)
+fig2.savefig('simple.png')
+show()
Modified: trunk/matplotlib/lib/matplotlib/backends/backend_agg.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/backends/backend_agg.py	2007年07月15日 05:08:57 UTC (rev 3531)
+++ trunk/matplotlib/lib/matplotlib/backends/backend_agg.py	2007年07月15日 15:33:02 UTC (rev 3532)
@@ -382,8 +382,8 @@
 """
 if __debug__: verbose.report('FigureCanvasAgg.draw', 'debug-annoying')
 
- renderer = self.get_renderer()
- self.figure.draw(renderer)
+ self.renderer = self.get_renderer()
+ self.figure.draw(self.renderer)
 
 def get_renderer(self):
 l,b,w,h = self.figure.bbox.get_bounds()
Modified: trunk/matplotlib/lib/matplotlib/image.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/image.py	2007年07月15日 05:08:57 UTC (rev 3531)
+++ trunk/matplotlib/lib/matplotlib/image.py	2007年07月15日 15:33:02 UTC (rev 3532)
@@ -264,7 +264,9 @@
 if self._extent is not None:
 return self._extent
 else:
- numrows, numcols = self.get_size()
+ sz = self.get_size()
+ #print 'sz', sz
+ numrows, numcols = sz
 if self.origin == 'upper':
 return (-0.5, numcols-0.5, numrows-0.5, -0.5)
 else:
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