matplotlib-checkins Mailing List for matplotlib (Page 3)

Revision: 7024
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7024&view=rev
Author: efiring
Date: 2009年04月05日 01:37:26 +0000 (2009年4月05日)
Log Message:
-----------
Fix PatchCollection bug 2723527; thanks to Thomas Robitaille
Modified Paths:
--------------
 branches/v0_98_5_maint/lib/matplotlib/collections.py
Modified: branches/v0_98_5_maint/lib/matplotlib/collections.py
===================================================================
--- branches/v0_98_5_maint/lib/matplotlib/collections.py	2009年04月04日 22:52:53 UTC (rev 7023)
+++ branches/v0_98_5_maint/lib/matplotlib/collections.py	2009年04月05日 01:37:26 UTC (rev 7024)
@@ -1108,7 +1108,7 @@
 
 facecolors = [determine_facecolor(p) for p in patches]
 edgecolors = [p.get_edgecolor() for p in patches]
- linewidths = [p.get_linewidths() for p in patches]
+ linewidths = [p.get_linewidth() for p in patches]
 antialiaseds = [p.get_antialiased() for p in patches]
 
 Collection.__init__(
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Revision: 7025
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7025&view=rev
Author: efiring
Date: 2009年04月05日 02:16:44 +0000 (2009年4月05日)
Log Message:
-----------
Fix PatchCollection bug 2732455 by letting to_rgba handle 'none'
Modified Paths:
--------------
 branches/v0_98_5_maint/lib/matplotlib/colors.py
Modified: branches/v0_98_5_maint/lib/matplotlib/colors.py
===================================================================
--- branches/v0_98_5_maint/lib/matplotlib/colors.py	2009年04月05日 01:37:26 UTC (rev 7024)
+++ branches/v0_98_5_maint/lib/matplotlib/colors.py	2009年04月05日 02:16:44 UTC (rev 7025)
@@ -318,10 +318,18 @@
 Returns an *RGBA* tuple of four floats from 0-1.
 
 For acceptable values of *arg*, see :meth:`to_rgb`.
+ In addition, if *arg* is "none" (case-insensitive),
+ then (0,0,0,0) will be returned.
 If *arg* is an *RGBA* sequence and *alpha* is not *None*,
 *alpha* will replace the original *A*.
 """
 try:
+ if arg.lower() == 'none':
+ return (0.0, 0.0, 0.0, 0.0)
+ except AttributeError:
+ pass
+
+ try:
 if not cbook.is_string_like(arg) and cbook.iterable(arg):
 if len(arg) == 4:
 if [x for x in arg if (float(x) < 0) or (x > 1)]:
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Revision: 7023
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7023&view=rev
Author: efiring
Date: 2009年04月04日 22:52:53 +0000 (2009年4月04日)
Log Message:
-----------
Add log scale option to clip non-positive values instead of masking
Modified Paths:
--------------
 trunk/matplotlib/CHANGELOG
 trunk/matplotlib/doc/api/api_changes.rst
 trunk/matplotlib/examples/pylab_examples/log_demo.py
 trunk/matplotlib/lib/matplotlib/axes.py
 trunk/matplotlib/lib/matplotlib/scale.py
Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG	2009年04月01日 20:44:58 UTC (rev 7022)
+++ trunk/matplotlib/CHANGELOG	2009年04月04日 22:52:53 UTC (rev 7023)
@@ -1,3 +1,6 @@
+2009年04月04日 Allow log axis scale to clip non-positive values to
+ small positive value; this is useful for errorbars. - EF
+
 2009年03月28日 Make images handle nan in their array argument.
 A helper, cbook.safe_masked_invalid() was added. - EF
 
Modified: trunk/matplotlib/doc/api/api_changes.rst
===================================================================
--- trunk/matplotlib/doc/api/api_changes.rst	2009年04月01日 20:44:58 UTC (rev 7022)
+++ trunk/matplotlib/doc/api/api_changes.rst	2009年04月04日 22:52:53 UTC (rev 7023)
@@ -19,6 +19,12 @@
 
 Changes for 0.98.x
 ==================
+* Added new keyword parameters *nonposx*, *nonposy* to
+ :class:`matplotlib.axes.Axes` methods that set log scale
+ parameters. The default is still to mask out non-positive
+ values, but the kwargs accept 'clip', which causes non-positive
+ values to be replaced with a very small positive value.
+
 * Added new :func:`matplotlib.pyplot.fignum_exists` and
 :func:`matplotlib.pyplot.get_fignums`; they merely expose
 information that had been hidden in :mod:`matplotlib._pylab_helpers`.
Modified: trunk/matplotlib/examples/pylab_examples/log_demo.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/log_demo.py	2009年04月01日 20:44:58 UTC (rev 7022)
+++ trunk/matplotlib/examples/pylab_examples/log_demo.py	2009年04月04日 22:52:53 UTC (rev 7023)
@@ -6,21 +6,33 @@
 t = np.arange(0.01, 20.0, 0.01)
 
 # log y axis
-plt.subplot(311)
+plt.subplot(221)
 plt.semilogy(t, np.exp(-t/5.0))
-plt.ylabel('semilogy')
+plt.title('semilogy')
 plt.grid(True)
 
 # log x axis
-plt.subplot(312)
+plt.subplot(222)
 plt.semilogx(t, np.sin(2*np.pi*t))
-plt.ylabel('semilogx')
+plt.title('semilogx')
 plt.grid(True)
 
 # log x and y axis
-plt.subplot(313)
+plt.subplot(223)
 plt.loglog(t, 20*np.exp(-t/10.0), basex=4)
 plt.grid(True)
-plt.ylabel('loglog base 4 on x')
+plt.title('loglog base 4 on x')
 
+# with errorbars: clip non-positive values
+ax = plt.subplot(224)
+ax.set_xscale("log", nonposx='clip')
+ax.set_yscale("log", nonposy='clip')
+
+x = 10.0**np.linspace(0.0, 2.0, 20)
+y = x**2.0
+plt.errorbar(x, y, xerr=0.1*x, yerr=5.0+0.75*y)
+ax.set_ylim(ymin=0.1)
+ax.set_title('Errorbars go negative')
+
+
 plt.show()
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py	2009年04月01日 20:44:58 UTC (rev 7022)
+++ trunk/matplotlib/lib/matplotlib/axes.py	2009年04月04日 22:52:53 UTC (rev 7023)
@@ -3455,6 +3455,10 @@
 plot; see :meth:`matplotlib.axes.Axes.set_xscale` /
 :meth:`matplotlib.axes.Axes.set_yscale` for details
 
+ *nonposx*/*nonposy*: ['mask' | 'clip' ]
+ non-positive values in *x* or *y* can be masked as
+ invalid, or clipped to a very small positive number
+
 The remaining valid kwargs are
 :class:`~matplotlib.lines.Line2D` properties:
 
@@ -3469,9 +3473,11 @@
 
 dx = {'basex': kwargs.pop('basex', 10),
 'subsx': kwargs.pop('subsx', None),
+ 'nonposx': kwargs.pop('nonposx', 'mask'),
 }
 dy = {'basey': kwargs.pop('basey', 10),
 'subsy': kwargs.pop('subsy', None),
+ 'nonposy': kwargs.pop('nonposy', 'mask'),
 }
 
 self.set_xscale('log', **dx)
@@ -3508,6 +3514,10 @@
 plot; see :meth:`~matplotlib.axes.Axes.set_xscale` for
 details.
 
+ *nonposx*: ['mask' | 'clip' ]
+ non-positive values in *x* can be masked as
+ invalid, or clipped to a very small positive number
+
 The remaining valid kwargs are
 :class:`~matplotlib.lines.Line2D` properties:
 
@@ -3521,6 +3531,7 @@
 if not self._hold: self.cla()
 d = {'basex': kwargs.pop( 'basex', 10),
 'subsx': kwargs.pop( 'subsx', None),
+ 'nonposx': kwargs.pop('nonposx', 'mask'),
 }
 
 self.set_xscale('log', **d)
@@ -3554,6 +3565,10 @@
 plot; see :meth:`~matplotlib.axes.Axes.set_yscale` for
 details.
 
+ *nonposy*: ['mask' | 'clip' ]
+ non-positive values in *y* can be masked as
+ invalid, or clipped to a very small positive number
+
 The remaining valid kwargs are
 :class:`~matplotlib.lines.Line2D` properties:
 
@@ -3567,6 +3582,7 @@
 if not self._hold: self.cla()
 d = {'basey': kwargs.pop('basey', 10),
 'subsy': kwargs.pop('subsy', None),
+ 'nonposy': kwargs.pop('nonposy', 'mask'),
 }
 self.set_yscale('log', **d)
 b = self._hold
Modified: trunk/matplotlib/lib/matplotlib/scale.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/scale.py	2009年04月01日 20:44:58 UTC (rev 7022)
+++ trunk/matplotlib/lib/matplotlib/scale.py	2009年04月04日 22:52:53 UTC (rev 7023)
@@ -87,6 +87,10 @@
 return ma.MaskedArray(a, mask=mask)
 return a
 
+def _clip_non_positives(a):
+ a[a <= 0.0] = 1e-300
+ return a
+
 class LogScale(ScaleBase):
 """
 A standard logarithmic scale. Care is taken so non-positive
@@ -104,14 +108,24 @@
 
 name = 'log'
 
- class Log10Transform(Transform):
+ class LogTransformBase(Transform):
 input_dims = 1
 output_dims = 1
 is_separable = True
+
+ def __init__(self, nonpos):
+ Transform.__init__(self)
+ if nonpos == 'mask':
+ self._handle_nonpos = _mask_non_positives
+ else:
+ self._handle_nonpos = _clip_non_positives
+
+
+ class Log10Transform(LogTransformBase):
 base = 10.0
 
 def transform(self, a):
- a = _mask_non_positives(a * 10.0)
+ a = self._handle_nonpos(a * 10.0)
 if isinstance(a, MaskedArray):
 return ma.log10(a)
 return np.log10(a)
@@ -131,14 +145,11 @@
 def inverted(self):
 return LogScale.Log10Transform()
 
- class Log2Transform(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
+ class Log2Transform(LogTransformBase):
 base = 2.0
 
 def transform(self, a):
- a = _mask_non_positives(a * 2.0)
+ a = self._handle_nonpos(a * 2.0)
 if isinstance(a, MaskedArray):
 return ma.log(a) / np.log(2)
 return np.log2(a)
@@ -158,14 +169,11 @@
 def inverted(self):
 return LogScale.Log2Transform()
 
- class NaturalLogTransform(Transform):
- input_dims = 1
- output_dims = 1
- is_separable = True
+ class NaturalLogTransform(LogTransformBase):
 base = np.e
 
 def transform(self, a):
- a = _mask_non_positives(a * np.e)
+ a = self._handle_nonpos(a * np.e)
 if isinstance(a, MaskedArray):
 return ma.log(a)
 return np.log(a)
@@ -190,12 +198,16 @@
 output_dims = 1
 is_separable = True
 
- def __init__(self, base):
+ def __init__(self, base, nonpos):
 Transform.__init__(self)
 self.base = base
+ if nonpos == 'mask':
+ self._handle_nonpos = _mask_non_positives
+ else:
+ self._handle_nonpos = _clip_non_positives
 
 def transform(self, a):
- a = _mask_non_positives(a * self.base)
+ a = self._handle_nonpos(a * self.base)
 if isinstance(a, MaskedArray):
 return ma.log(a) / np.log(self.base)
 return np.log(a) / np.log(self.base)
@@ -224,6 +236,10 @@
 *basex*/*basey*:
 The base of the logarithm
 
+ *nonposx*/*nonposy*: ['mask' | 'clip' ]
+ non-positive values in *x* or *y* can be masked as
+ invalid, or clipped to a very small positive number
+
 *subsx*/*subsy*:
 Where to place the subticks between each major tick.
 Should be a sequence of integers. For example, in a log10
@@ -235,18 +251,23 @@
 if axis.axis_name == 'x':
 base = kwargs.pop('basex', 10.0)
 subs = kwargs.pop('subsx', None)
+ nonpos = kwargs.pop('nonposx', 'mask')
 else:
 base = kwargs.pop('basey', 10.0)
 subs = kwargs.pop('subsy', None)
+ nonpos = kwargs.pop('nonposy', 'mask')
 
+ if nonpos not in ['mask', 'clip']:
+ raise ValueError("nonposx, nonposy kwarg must be 'mask' or 'clip'")
+
 if base == 10.0:
- self._transform = self.Log10Transform()
+ self._transform = self.Log10Transform(nonpos)
 elif base == 2.0:
- self._transform = self.Log2Transform()
+ self._transform = self.Log2Transform(nonpos)
 elif base == np.e:
- self._transform = self.NaturalLogTransform()
+ self._transform = self.NaturalLogTransform(nonpos)
 else:
- self._transform = self.LogTransform(base)
+ self._transform = self.LogTransform(base, nonpos)
 
 self.base = base
 self.subs = subs
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Revision: 7022
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7022&view=rev
Author: jdh2358
Date: 2009年04月01日 20:44:58 +0000 (2009年4月01日)
Log Message:
-----------
added compound path demo
Added Paths:
-----------
 trunk/matplotlib/examples/api/compound_path.py
Removed Paths:
-------------
 trunk/matplotlib/examples/api/complex_path.py
Deleted: trunk/matplotlib/examples/api/complex_path.py
===================================================================
--- trunk/matplotlib/examples/api/complex_path.py	2009年04月01日 20:44:27 UTC (rev 7021)
+++ trunk/matplotlib/examples/api/complex_path.py	2009年04月01日 20:44:58 UTC (rev 7022)
@@ -1,35 +0,0 @@
-"""
-Make a compund path -- in this case two simple polygons, a rectangle
-and a triangle. Use CLOSEOPOLY and MOVETO for the different parts of
-the compound path
-"""
-import numpy as np
-from matplotlib.path import Path
-from matplotlib.patches import PathPatch
-import matplotlib.pyplot as plt
-
-
-vertices = []
-codes = []
-
-codes = [Path.MOVETO] + [Path.LINETO]*3 + [Path.CLOSEPOLY]
-vertices = [(1,1), (1,2), (2, 2), (2, 1), (0,0)]
-
-codes += [Path.MOVETO] + [Path.LINETO]*2 + [Path.CLOSEPOLY]
-vertices += [(4,4), (5,5), (5, 4), (0,0)]
-
-vertices = np.array(vertices, float)
-path = Path(vertices, codes)
-
-pathpatch = PathPatch(path, facecolor='red', edgecolor='green')
-
-fig = plt.figure()
-ax = fig.add_subplot(111)
-ax.add_patch(pathpatch)
-ax.set_title('A compound path')
-
-ax.dataLim.update_from_data_xy(vertices)
-ax.autoscale_view()
-
-
-plt.show()
Copied: trunk/matplotlib/examples/api/compound_path.py (from rev 7021, trunk/matplotlib/examples/api/complex_path.py)
===================================================================
--- trunk/matplotlib/examples/api/compound_path.py	 (rev 0)
+++ trunk/matplotlib/examples/api/compound_path.py	2009年04月01日 20:44:58 UTC (rev 7022)
@@ -0,0 +1,35 @@
+"""
+Make a compund path -- in this case two simple polygons, a rectangle
+and a triangle. Use CLOSEOPOLY and MOVETO for the different parts of
+the compound path
+"""
+import numpy as np
+from matplotlib.path import Path
+from matplotlib.patches import PathPatch
+import matplotlib.pyplot as plt
+
+
+vertices = []
+codes = []
+
+codes = [Path.MOVETO] + [Path.LINETO]*3 + [Path.CLOSEPOLY]
+vertices = [(1,1), (1,2), (2, 2), (2, 1), (0,0)]
+
+codes += [Path.MOVETO] + [Path.LINETO]*2 + [Path.CLOSEPOLY]
+vertices += [(4,4), (5,5), (5, 4), (0,0)]
+
+vertices = np.array(vertices, float)
+path = Path(vertices, codes)
+
+pathpatch = PathPatch(path, facecolor='red', edgecolor='green')
+
+fig = plt.figure()
+ax = fig.add_subplot(111)
+ax.add_patch(pathpatch)
+ax.set_title('A compound path')
+
+ax.dataLim.update_from_data_xy(vertices)
+ax.autoscale_view()
+
+
+plt.show()
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Revision: 7021
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7021&view=rev
Author: jdh2358
Date: 2009年04月01日 20:44:27 +0000 (2009年4月01日)
Log Message:
-----------
added compound path demo
Added Paths:
-----------
 trunk/matplotlib/examples/api/complex_path.py
Added: trunk/matplotlib/examples/api/complex_path.py
===================================================================
--- trunk/matplotlib/examples/api/complex_path.py	 (rev 0)
+++ trunk/matplotlib/examples/api/complex_path.py	2009年04月01日 20:44:27 UTC (rev 7021)
@@ -0,0 +1,35 @@
+"""
+Make a compund path -- in this case two simple polygons, a rectangle
+and a triangle. Use CLOSEOPOLY and MOVETO for the different parts of
+the compound path
+"""
+import numpy as np
+from matplotlib.path import Path
+from matplotlib.patches import PathPatch
+import matplotlib.pyplot as plt
+
+
+vertices = []
+codes = []
+
+codes = [Path.MOVETO] + [Path.LINETO]*3 + [Path.CLOSEPOLY]
+vertices = [(1,1), (1,2), (2, 2), (2, 1), (0,0)]
+
+codes += [Path.MOVETO] + [Path.LINETO]*2 + [Path.CLOSEPOLY]
+vertices += [(4,4), (5,5), (5, 4), (0,0)]
+
+vertices = np.array(vertices, float)
+path = Path(vertices, codes)
+
+pathpatch = PathPatch(path, facecolor='red', edgecolor='green')
+
+fig = plt.figure()
+ax = fig.add_subplot(111)
+ax.add_patch(pathpatch)
+ax.set_title('A compound path')
+
+ax.dataLim.update_from_data_xy(vertices)
+ax.autoscale_view()
+
+
+plt.show()
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Revision: 7020
 http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7020&view=rev
Author: jrevans
Date: 2009年04月01日 17:28:11 +0000 (2009年4月01日)
Log Message:
-----------
Updated 'fill' to handle unitized data. Added a unit-test for it.
Modified Paths:
--------------
 trunk/matplotlib/lib/matplotlib/axes.py
 trunk/matplotlib/test/mplTest/units/__init__.py
Added Paths:
-----------
 trunk/matplotlib/test/test_plots/TestFill.py
 trunk/matplotlib/test/test_plots/baseline/TestFill/
 trunk/matplotlib/test/test_plots/baseline/TestFill/fill_units.png
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py	2009年03月31日 17:59:53 UTC (rev 7019)
+++ trunk/matplotlib/lib/matplotlib/axes.py	2009年04月01日 17:28:11 UTC (rev 7020)
@@ -216,9 +216,10 @@
 if self.axes.xaxis is not None and self.axes.yaxis is not None:
 bx = self.axes.xaxis.update_units(x)
 by = self.axes.yaxis.update_units(y)
- # right now multicol is not supported if either x or y are
- # unit enabled but this can be fixed..
- if bx or by: return x, y, False
+ if bx:
+ x = self.axes.convert_xunits(x)
+ if by:
+ y = self.axes.convert_yunits(y)
 
 x = ma.asarray(x)
 y = ma.asarray(y)
@@ -310,8 +311,6 @@
 ret.append(seg)
 
 def makefill(x, y):
- x = self.axes.convert_xunits(x)
- y = self.axes.convert_yunits(y)
 facecolor = self._get_next_cycle_color()
 seg = mpatches.Polygon(np.hstack(
 (x[:,np.newaxis],y[:,np.newaxis])),
@@ -358,8 +357,6 @@
 
 def makefill(x, y):
 facecolor = color
- x = self.axes.convert_xunits(x)
- y = self.axes.convert_yunits(y)
 seg = mpatches.Polygon(np.hstack(
 (x[:,np.newaxis],y[:,np.newaxis])),
 facecolor = facecolor,
Modified: trunk/matplotlib/test/mplTest/units/__init__.py
===================================================================
--- trunk/matplotlib/test/mplTest/units/__init__.py	2009年03月31日 17:59:53 UTC (rev 7019)
+++ trunk/matplotlib/test/mplTest/units/__init__.py	2009年04月01日 17:28:11 UTC (rev 7020)
@@ -71,6 +71,7 @@
 
 # Angles
 deg = UnitDbl( 1.0, "deg" )
+rad = UnitDbl( 1.0, "rad" )
 
 # Time
 sec = UnitDbl( 1.0, "sec" )
Added: trunk/matplotlib/test/test_plots/TestFill.py
===================================================================
--- trunk/matplotlib/test/test_plots/TestFill.py	 (rev 0)
+++ trunk/matplotlib/test/test_plots/TestFill.py	2009年04月01日 17:28:11 UTC (rev 7020)
@@ -0,0 +1,87 @@
+#=======================================================================
+"""The Fill unit-test class implementation."""
+#=======================================================================
+
+from mplTest import *
+
+#=======================================================================
+# Add import modules below.
+import matplotlib
+matplotlib.use( "Agg", warn = False )
+
+import pylab
+import numpy as npy
+from datetime import datetime
+#
+#=======================================================================
+
+#=======================================================================
+class TestFill( MplTestCase ):
+ """Test the various axes fill methods."""
+
+ # Uncomment any appropriate tags
+ tags = [
+ # 'gui', # requires the creation of a gui window
+ 'agg', # uses agg in the backend
+ 'agg-only', # uses only agg in the backend
+ # 'wx', # uses wx in the backend
+ # 'qt', # uses qt in the backend
+ # 'ps', # uses the postscript backend
+ # 'units', # uses units in the test
+ 'PIL', # uses PIL for image comparison
+ ]
+
+ #--------------------------------------------------------------------
+ def setUp( self ):
+ """Setup any data needed for the unit test."""
+ units.register()
+
+ #--------------------------------------------------------------------
+ def tearDown( self ):
+ """Clean-up any generated files here."""
+ pass
+
+ #--------------------------------------------------------------------
+ def test_fill_units( self ):
+ """Test the fill method with unitized-data."""
+
+ fname = self.outFile( "fill_units.png" )
+
+ # generate some data
+ t = units.Epoch( "ET", dt=datetime(2009, 4, 27) )
+ value = 10.0 * units.deg
+ day = units.Duration( "ET", 24.0 * 60.0 * 60.0 )
+
+ fig = pylab.figure()
+
+ # Top-Left
+ ax1 = fig.add_subplot( 221 )
+ ax1.plot( [t], [value], yunits='deg', color='red' )
+ ax1.fill( [733525.0, 733525.0, 733526.0, 733526.0],
+ [0.0, 0.0, 90.0, 0.0], 'b' )
+
+ # Top-Right
+ ax2 = fig.add_subplot( 222 )
+ ax2.plot( [t], [value], yunits='deg', color='red' )
+ ax2.fill( [t, t, t+day, t+day],
+ [0.0, 0.0, 90.0, 0.0], 'b' )
+
+ # Bottom-Left
+ ax3 = fig.add_subplot( 223 )
+ ax3.plot( [t], [value], yunits='deg', color='red' )
+ ax1.fill( [733525.0, 733525.0, 733526.0, 733526.0],
+ [0*units.deg, 0*units.deg, 90*units.deg, 0*units.deg], 'b' )
+
+ # Bottom-Right
+ ax4 = fig.add_subplot( 224 )
+ ax4.plot( [t], [value], yunits='deg', color='red' )
+ ax4.fill( [t, t, t+day, t+day],
+ [0*units.deg, 0*units.deg, 90*units.deg, 0*units.deg],
+ facecolor="blue" )
+
+ fig.autofmt_xdate()
+ fig.savefig( fname )
+ self.checkImage( fname )
+
+ #--------------------------------------------------------------------
+
Added: trunk/matplotlib/test/test_plots/baseline/TestFill/fill_units.png
===================================================================
(Binary files differ)
Property changes on: trunk/matplotlib/test/test_plots/baseline/TestFill/fill_units.png
___________________________________________________________________
Added: svn:mime-type
 + application/octet-stream
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