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From: <jo...@us...> - 2008-10-23 16:38:15
|
Revision: 6310
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6310&view=rev
Author: jouni
Date: 2008-10-23 16:38:04 +0000 (Thu, 23 Oct 2008)
Log Message:
-----------
Fixed exception in dviread that happened with Minion
Modified Paths:
--------------
trunk/matplotlib/CHANGELOG
trunk/matplotlib/lib/matplotlib/dviread.py
Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG 2008-10-23 16:10:59 UTC (rev 6309)
+++ trunk/matplotlib/CHANGELOG 2008-10-23 16:38:04 UTC (rev 6310)
@@ -1,3 +1,5 @@
+2008-10-23 Fixed exception in dviread that happened with Minion - JKS
+
2008-10-21 set_xlim, ylim now return a copy of the viewlim array to
avoid modify inplace surprises
Modified: trunk/matplotlib/lib/matplotlib/dviread.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/dviread.py 2008-10-23 16:10:59 UTC (rev 6309)
+++ trunk/matplotlib/lib/matplotlib/dviread.py 2008-10-23 16:38:04 UTC (rev 6310)
@@ -394,8 +394,12 @@
self._scale, self._tfm, self.texname, self._vf = \
scale, tfm, texname, vf
self.size = scale * (72.0 / (72.27 * 2**16))
+ try:
+ nchars = max(tfm.width.iterkeys())
+ except ValueError:
+ nchars = 0
self.widths = [ (1000*tfm.width.get(char, 0)) >> 20
- for char in range(0, max(tfm.width)) ]
+ for char in range(nchars) ]
def __eq__(self, other):
return self.__class__ == other.__class__ and \
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|
|
From: <jd...@us...> - 2008-10-23 16:11:09
|
Revision: 6309
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6309&view=rev
Author: jdh2358
Date: 2008-10-23 16:10:59 +0000 (Thu, 23 Oct 2008)
Log Message:
-----------
fixed pyplot tutorial error
Modified Paths:
--------------
trunk/matplotlib/doc/_templates/gallery.html
trunk/matplotlib/doc/devel/documenting_mpl.rst
trunk/matplotlib/doc/faq/howto_faq.rst
trunk/matplotlib/doc/users/pyplot_tutorial.rst
Modified: trunk/matplotlib/doc/_templates/gallery.html
===================================================================
--- trunk/matplotlib/doc/_templates/gallery.html 2008-10-23 15:46:27 UTC (rev 6308)
+++ trunk/matplotlib/doc/_templates/gallery.html 2008-10-23 16:10:59 UTC (rev 6309)
@@ -5,7 +5,7 @@
{% block body %}
<h3>Click on any image to see full size image and source code</h3>
-<br>
+<br/>
<a href="examples/api/barchart_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/barchart_demo.png" border="0" alt="barchart_demo"/></a>
Modified: trunk/matplotlib/doc/devel/documenting_mpl.rst
===================================================================
--- trunk/matplotlib/doc/devel/documenting_mpl.rst 2008-10-23 15:46:27 UTC (rev 6308)
+++ trunk/matplotlib/doc/devel/documenting_mpl.rst 2008-10-23 16:10:59 UTC (rev 6309)
@@ -8,9 +8,8 @@
===============
The documentation for matplotlib is generated from ReStructured Text
-using the Sphinx_ documentation generation tool. Sphinx-0.4 or later
-is required. Currently this means we need to install from the svn
-repository by doing::
+using the Sphinx_ documentation generation tool. Sphinx-0.5 or later
+is required. Most developers work from the sphinx subversion repository because it is a rapidly evolving project::
svn co http://svn.python.org/projects/doctools/trunk sphinx
cd sphinx
Modified: trunk/matplotlib/doc/faq/howto_faq.rst
===================================================================
--- trunk/matplotlib/doc/faq/howto_faq.rst 2008-10-23 15:46:27 UTC (rev 6308)
+++ trunk/matplotlib/doc/faq/howto_faq.rst 2008-10-23 16:10:59 UTC (rev 6309)
@@ -332,14 +332,13 @@
which is part of the `mplayer <http://www.mplayerhq.hu>`_ suite
for this::
-
#fps (frames per second) controls the play speed
mencoder 'mf://*.png' -mf type=png:fps=10 -ovc \\
lavc -lavcopts vcodec=wmv2 -oac copy -o animation.avi
The swiss army knife of image tools, ImageMagick's `convert
<http://www.imagemagick.org/script/convert.php>`_ works for this as
-well.<p>
+well.
Here is a simple example script that saves some PNGs, makes them into
a movie, and then cleans up::
@@ -617,7 +616,15 @@
import sys
fig.savefig(sys.stdout)
+Here is an example using the Python Imaging Library PIL. First the figure is saved to a StringIO objectm which is then fed to PIL for further processing::
+ import StringIO, Image
+ imgdata = StringIO.StringIO()
+ fig.savefig(imgdata, format='png')
+ imgdata.seek(0) # rewind the data
+ im = Image.open(imgdata)
+
+
matplotlib with apache
------------------------------------
Modified: trunk/matplotlib/doc/users/pyplot_tutorial.rst
===================================================================
--- trunk/matplotlib/doc/users/pyplot_tutorial.rst 2008-10-23 15:46:27 UTC (rev 6308)
+++ trunk/matplotlib/doc/users/pyplot_tutorial.rst 2008-10-23 16:10:59 UTC (rev 6309)
@@ -15,13 +15,13 @@
.. plot:: pyplots/pyplot_simple.py
:include-source:
-You may be wondering why the x-axis ranges from 0-3 and the y-axis
-from 1-4. If you provide a single list or array to the
+You may be wondering why the x-axis ranges from 0-2 and the y-axis
+from 1-3. If you provide a single list or array to the
:func:`~matplotlib.pyplot.plot` command, matplotlib assumes it a
sequence of y values, and automatically generates the x values for
you. Since python ranges start with 0, the default x vector has the
same length as y but starts with 0. Hence the x data are
-``[0,1,2,3]``.
+``[0,1,2]``.
:func:`~matplotlib.pyplot.plot` is a versatile command, and will take
an arbitrary number of arguments. For example, to plot x versus y,
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|
|
From: <ry...@us...> - 2008-10-23 15:46:35
|
Revision: 6308
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6308&view=rev
Author: ryanmay
Date: 2008-10-23 15:46:27 +0000 (Thu, 23 Oct 2008)
Log Message:
-----------
Add barbs to list of plotting commands. Also make the capitalization (or lack thereof) of the table descriptions consistent.
Modified Paths:
--------------
trunk/matplotlib/doc/_templates/index.html
Modified: trunk/matplotlib/doc/_templates/index.html
===================================================================
--- trunk/matplotlib/doc/_templates/index.html 2008-10-23 15:42:25 UTC (rev 6307)
+++ trunk/matplotlib/doc/_templates/index.html 2008-10-23 15:46:27 UTC (rev 6308)
@@ -86,7 +86,7 @@
</th>
<td align="left">
- Create a new axes
+ create a new axes
</td>
</tr>
@@ -141,12 +141,23 @@
</th>
<td align="left">
- Set or return the current axis limits
+ set or return the current axis limits
</td>
</tr>
<tr>
<th align="left">
+ <a href="api/pyplot_api.html#matplotlib.pyplot.barbs">barbs</a>
+
+ </th>
+
+ <td align="left">
+ a (wind) barb plot
+ </td>
+
+ </tr>
+ <tr>
+ <th align="left">
<a href="api/pyplot_api.html#matplotlib.pyplot.bar">bar</a>
</th>
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|
|
From: <ry...@us...> - 2008-10-23 15:42:45
|
Revision: 6307
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6307&view=rev
Author: ryanmay
Date: 2008-10-23 15:42:25 +0000 (Thu, 23 Oct 2008)
Log Message:
-----------
Tweak barbs docstring to point to the appropriate example script.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2008-10-23 15:29:50 UTC (rev 6306)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2008-10-23 15:42:25 UTC (rev 6307)
@@ -5356,13 +5356,19 @@
quiver.__doc__ = mquiver.Quiver.quiver_doc
def barbs(self, *args, **kw):
+ """
+ %s
+ **Example:**
+
+ .. plot:: mpl_examples/pylab_examples/barb_demo.py
+ """
if not self._hold: self.cla()
b = mquiver.Barbs(self, *args, **kw)
self.add_collection(b)
self.update_datalim(b.get_offsets())
self.autoscale_view()
return b
- barbs.__doc__ = mquiver.Barbs.barbs_doc
+ barbs.__doc__ = cbook.dedent(barbs.__doc__) % mquiver.Barbs.barbs_doc
def fill(self, *args, **kwargs):
"""
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|
|
From: <md...@us...> - 2008-10-23 15:30:08
|
Revision: 6306
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6306&view=rev
Author: mdboom
Date: 2008-10-23 15:29:50 +0000 (Thu, 23 Oct 2008)
Log Message:
-----------
Fix doc markup.
Modified Paths:
--------------
trunk/matplotlib/doc/faq/howto_faq.rst
trunk/matplotlib/lib/matplotlib/ticker.py
Modified: trunk/matplotlib/doc/faq/howto_faq.rst
===================================================================
--- trunk/matplotlib/doc/faq/howto_faq.rst 2008-10-23 13:30:15 UTC (rev 6305)
+++ trunk/matplotlib/doc/faq/howto_faq.rst 2008-10-23 15:29:50 UTC (rev 6306)
@@ -542,7 +542,7 @@
Write a tutorial on the signal analysis plotting functions like
:func:`~matplotlib.pyplot.xcorr`, :func:`~matplotlib.pyplot.psd` and
:func:`~matplotlib.pyplot.specgram`. Do you use matplotlib with
-`django <http://www.djangoproject.com>`_ or other popular web
+`django <http://www.djangoproject.com/>`_ or other popular web
application servers? Write a FAQ or tutorial and we'll find a place
for it in the :ref:`users-guide-index`. Bundle matplotlib in a
`py2exe <http://www.py2exe.org/>`_ app? ... I think you get the idea.
Modified: trunk/matplotlib/lib/matplotlib/ticker.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/ticker.py 2008-10-23 13:30:15 UTC (rev 6305)
+++ trunk/matplotlib/lib/matplotlib/ticker.py 2008-10-23 15:29:50 UTC (rev 6306)
@@ -77,22 +77,22 @@
formatter operates on a single tick value and returns a string to the
axis.
-:clss:`NullFormatter`
+:class:`NullFormatter`
no labels on the ticks
-:clss:`FixedFormatter`
+:class:`FixedFormatter`
set the strings manually for the labels
-:clss:`FuncFormatter`
+:class:`FuncFormatter`
user defined function sets the labels
-:clss:`FormatStrFormatter`
+:class:`FormatStrFormatter`
use a sprintf format string
-:clss:`ScalarFormatter`
+:class:`ScalarFormatter`
default formatter for scalars; autopick the fmt string
-:clss:`LogFormatter`
+:class:`LogFormatter`
formatter for log axes
@@ -109,7 +109,7 @@
ax.yaxis.set_minor_formatter( yminorFormatter )
See :ref:`pylab_examples-major_minor_demo1` for an example of setting
-major an minor ticks. See the :module:`matplotlib.dates` module for
+major an minor ticks. See the :mod:`matplotlib.dates` module for
more information and examples of using date locators and formatters.
"""
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|
|
From: <md...@us...> - 2008-10-23 13:30:25
|
Revision: 6305
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6305&view=rev
Author: mdboom
Date: 2008-10-23 13:30:15 +0000 (Thu, 23 Oct 2008)
Log Message:
-----------
Fix w3c compliance. (Xavier Gnata)
Modified Paths:
--------------
trunk/matplotlib/doc/_templates/gen_gallery.py
Modified: trunk/matplotlib/doc/_templates/gen_gallery.py
===================================================================
--- trunk/matplotlib/doc/_templates/gen_gallery.py 2008-10-23 12:57:15 UTC (rev 6304)
+++ trunk/matplotlib/doc/_templates/gen_gallery.py 2008-10-23 13:30:15 UTC (rev 6305)
@@ -7,7 +7,7 @@
{%% block body %%}
<h3>Click on any image to see full size image and source code</h3>
-<br>
+<br/>
%s
{%% endblock %%}
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|
|
From: <md...@us...> - 2008-10-23 12:58:09
|
Revision: 6304
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6304&view=rev
Author: mdboom
Date: 2008-10-23 12:57:15 +0000 (Thu, 23 Oct 2008)
Log Message:
-----------
Fix w3c compliance. (Xavier Gnata)
Modified Paths:
--------------
trunk/matplotlib/doc/_templates/index.html
trunk/matplotlib/doc/_templates/indexsidebar.html
Modified: trunk/matplotlib/doc/_templates/index.html
===================================================================
--- trunk/matplotlib/doc/_templates/index.html 2008-10-22 23:50:06 UTC (rev 6303)
+++ trunk/matplotlib/doc/_templates/index.html 2008-10-23 12:57:15 UTC (rev 6304)
@@ -24,7 +24,7 @@
alt="screenshots"/></a></p>
- For example, to generate 10,000 gaussian random numbers and make a
+ <p>For example, to generate 10,000 gaussian random numbers and make a
histogram plot binning the data into 100 bins, you simply need to
type</p>
@@ -38,8 +38,8 @@
or via a handle graphics interface familiar to Matlab® users.
The pylab mode provides all of the <a href="api/pyplot_api.html">pyplot</a> plotting
functions listed below, as well as non-plotting functions from
- <a href=http://scipy.org/Numpy_Example_List_With_Doc>numpy</a> and
-<a href="api/mlab_api.html">matplotlib.mlab</a> </p>
+ <a href="http://scipy.org/Numpy_Example_List_With_Doc">numpy</a> and
+ <a href="api/mlab_api.html">matplotlib.mlab</a>.</p>
<h3>Plotting commands</h3> <br/>
Modified: trunk/matplotlib/doc/_templates/indexsidebar.html
===================================================================
--- trunk/matplotlib/doc/_templates/indexsidebar.html 2008-10-22 23:50:06 UTC (rev 6303)
+++ trunk/matplotlib/doc/_templates/indexsidebar.html 2008-10-23 12:57:15 UTC (rev 6304)
@@ -11,8 +11,8 @@
and mapping toolkit
<a href="http://matplotlib.sf.net/basemap/doc/html">basemap</a>.</p>
-<p>Please <a href=https://sourceforge.net/my/donations.php>donate</a>
-to support matplotlib development</p>
+<p>Please <a href="https://sourceforge.net/my/donations.php">donate</a>
+to support matplotlib development.</p>
<h3>Need help?</h3>
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|
|
From: <fer...@us...> - 2008-10-22 23:50:10
|
Revision: 6303
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6303&view=rev
Author: fer_perez
Date: 2008-10-22 23:50:06 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
Add a few *incomplete* notes about ctypes
Modified Paths:
--------------
trunk/py4science/workbook/wrapping.tex
Modified: trunk/py4science/workbook/wrapping.tex
===================================================================
--- trunk/py4science/workbook/wrapping.tex 2008-10-22 20:03:12 UTC (rev 6302)
+++ trunk/py4science/workbook/wrapping.tex 2008-10-22 23:50:06 UTC (rev 6303)
@@ -16,6 +16,24 @@
\lstinputlisting{examples/wrap_weave.py}
+\section{ctypes }
+
+Some quick notes about ctypes, to be finished later.
+
+
+\begin{itemize}
+
+\item \textbf{Classes}: \texttt{\_as\_parameter\_} attribute, one of: {[}int,
+ str, unicode]. A property can be used to provide custom access. This allows
+ any class to customize how it isseen if one of its instances is used as a
+ parameter in a ctypes call.
+
+\item \textbf{Functions}: when the underlying ctypes-exposed functions is
+seen on the Python side, set its \texttt{.argtypes} attribute.
+
+\end{itemize}
+
+
\section{swig }
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|
|
From: <ef...@us...> - 2008-10-22 20:22:18
|
Revision: 6298
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6298&view=rev
Author: efiring
Date: 2008-10-22 19:28:14 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
update backend_driver for new location of two_scales.py
Modified Paths:
--------------
trunk/matplotlib/examples/api/two_scales.py
trunk/matplotlib/examples/tests/backend_driver.py
Modified: trunk/matplotlib/examples/api/two_scales.py
===================================================================
--- trunk/matplotlib/examples/api/two_scales.py 2008-10-22 18:45:10 UTC (rev 6297)
+++ trunk/matplotlib/examples/api/two_scales.py 2008-10-22 19:28:14 UTC (rev 6298)
@@ -11,12 +11,14 @@
separate matplotlib.ticker formatters and locators as desired since
the two axes are independent.
-This is acheived in the following example by calling pylab's twinx()
-function, which performs this work. See the source of twinx() in
-pylab.py for an example of how to do it for different x scales. (Hint:
+This is achieved in the following example by calling the Axes.twinx()
+method, which performs this work. See the source of twinx() in
+axes.py for an example of how to do it for different x scales. (Hint:
use the xaxis instance and call tick_bottom and tick_top in place of
tick_left and tick_right.)
+The twinx and twiny methods are also exposed as pyplot functions.
+
"""
import numpy as np
Modified: trunk/matplotlib/examples/tests/backend_driver.py
===================================================================
--- trunk/matplotlib/examples/tests/backend_driver.py 2008-10-22 18:45:10 UTC (rev 6297)
+++ trunk/matplotlib/examples/tests/backend_driver.py 2008-10-22 19:28:14 UTC (rev 6298)
@@ -117,7 +117,7 @@
'text_rotation.py',
'text_themes.py',
# 'tex_demo.py',
- 'two_scales.py',
+# 'two_scales.py',
'unicode_demo.py',
'vline_demo.py',
'xcorr_demo.py',
@@ -132,7 +132,8 @@
'color_cycle.py',
'donut_demo.py',
'path_patch_demo.py',
- 'quad_bezier.py'
+ 'quad_bezier.py',
+ 'two_scales.py'
]
units_dir = os.path.join('..', 'units')
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|
|
From: <md...@us...> - 2008-10-22 20:03:28
|
Revision: 6302
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6302&view=rev
Author: mdboom
Date: 2008-10-22 20:03:12 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
Add clip path support on images. Add a new example and update the dolphin fest.
Modified Paths:
--------------
trunk/matplotlib/examples/pylab_examples/dolphin.py
trunk/matplotlib/src/_backend_agg.cpp
Added Paths:
-----------
trunk/matplotlib/examples/pylab_examples/image_clip_path.py
Modified: trunk/matplotlib/examples/pylab_examples/dolphin.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/dolphin.py 2008-10-22 19:43:40 UTC (rev 6301)
+++ trunk/matplotlib/examples/pylab_examples/dolphin.py 2008-10-22 20:03:12 UTC (rev 6302)
@@ -1,3 +1,4 @@
+import matplotlib.cm as cm
import matplotlib.pyplot as plt
from matplotlib.patches import Circle, PathPatch
from matplotlib.path import Path
@@ -4,6 +5,7 @@
from matplotlib.transforms import Affine2D
import numpy as np
+
r = np.random.rand(50)
t = np.random.rand(50) * np.pi * 2.0
x = r * np.cos(t)
@@ -11,10 +13,16 @@
fig = plt.figure(figsize=(6,6))
ax = plt.subplot(111)
-circle = Circle((0, 0), 1, facecolor=(0,0,0.8),
+circle = Circle((0, 0), 1, facecolor='none',
edgecolor=(0,0.8,0.8), linewidth=3, alpha=0.5)
ax.add_patch(circle)
+im = plt.imshow(np.random.random((100, 100)),
+ origin='lower', cmap=cm.winter,
+ interpolation='spline36',
+ extent=([-1, 1, -1, 1]), zorder=1000)
+im.set_clip_path(circle)
+
plt.plot(x, y, 'o', color=(0.9, 0.9, 1.0), alpha=0.8)
# Dolphin from OpenClipart library by Andy Fitzsimon
Added: trunk/matplotlib/examples/pylab_examples/image_clip_path.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/image_clip_path.py (rev 0)
+++ trunk/matplotlib/examples/pylab_examples/image_clip_path.py 2008-10-22 20:03:12 UTC (rev 6302)
@@ -0,0 +1,26 @@
+#!/usr/bin/env python
+import numpy as np
+import matplotlib.cm as cm
+import matplotlib.mlab as mlab
+import matplotlib.pyplot as plt
+from matplotlib.path import Path
+from matplotlib.patches import PathPatch
+
+delta = 0.025
+x = y = np.arange(-3.0, 3.0, delta)
+X, Y = np.meshgrid(x, y)
+Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
+Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
+Z = Z2-Z1 # difference of Gaussians
+
+path = Path([[0, 1], [1, 0], [0, -1], [-1, 0], [0, 1]])
+patch = PathPatch(path, facecolor='none')
+plt.gca().add_patch(patch)
+
+im = plt.imshow(Z, interpolation='bilinear', cmap=cm.gray,
+ origin='lower', extent=[-3,3,-3,3],
+ clip_path=patch, clip_on=True)
+im.set_clip_path(patch)
+
+plt.show()
+
Property changes on: trunk/matplotlib/examples/pylab_examples/image_clip_path.py
___________________________________________________________________
Added: svn:executable
+ *
Modified: trunk/matplotlib/src/_backend_agg.cpp
===================================================================
--- trunk/matplotlib/src/_backend_agg.cpp 2008-10-22 19:43:40 UTC (rev 6301)
+++ trunk/matplotlib/src/_backend_agg.cpp 2008-10-22 20:03:12 UTC (rev 6302)
@@ -788,21 +788,59 @@
Py::Object box_obj = args[3];
Py::Object clippath;
agg::trans_affine clippath_trans;
+ bool has_clippath = false;
+
+ theRasterizer->reset_clipping();
+ rendererBase->reset_clipping(true);
if (args.size() == 6) {
clippath = args[4];
clippath_trans = py_to_agg_transformation_matrix(args[5], false);
+ has_clippath = render_clippath(clippath, clippath_trans);
}
- theRasterizer->reset_clipping();
- rendererBase->reset_clipping(true);
- set_clipbox(box_obj, rendererBase);
-
Py::Tuple empty;
+ image->flipud_out(empty);
pixfmt pixf(*(image->rbufOut));
- image->flipud_out(empty);
- rendererBase->blend_from(pixf, 0, (int)x, (int)(height-(y+image->rowsOut)));
+ if (has_clippath) {
+ agg::trans_affine mtx;
+ mtx *= agg::trans_affine_translation((int)x, (int)(height-(y+image->rowsOut)));
+ agg::path_storage rect;
+ rect.move_to(0, 0);
+ rect.line_to(image->colsOut, 0);
+ rect.line_to(image->colsOut, image->rowsOut);
+ rect.line_to(0, image->rowsOut);
+ rect.line_to(0, 0);
+ agg::conv_transform<agg::path_storage> rect2(rect, mtx);
+
+ agg::trans_affine inv_mtx(mtx);
+ inv_mtx.invert();
+
+ typedef agg::span_allocator<agg::rgba8> color_span_alloc_type;
+ typedef agg::pixfmt_amask_adaptor<pixfmt, alpha_mask_type> pixfmt_amask_type;
+ typedef agg::renderer_base<pixfmt_amask_type> amask_ren_type;
+ typedef agg::image_accessor_clip<agg::pixfmt_rgba32> image_accessor_type;
+ typedef agg::span_interpolator_linear<> interpolator_type;
+ typedef agg::span_image_filter_rgba_nn<image_accessor_type, interpolator_type> image_span_gen_type;
+ typedef agg::renderer_scanline_aa_solid<amask_ren_type> amask_aa_renderer_type;
+ typedef agg::renderer_scanline_aa<amask_ren_type, color_span_alloc_type, image_span_gen_type> renderer_type;
+
+ color_span_alloc_type sa;
+ image_accessor_type ia(pixf, agg::rgba8(0, 0, 0, 0));
+ interpolator_type interpolator(inv_mtx);
+ image_span_gen_type image_span_generator(ia, interpolator);
+ pixfmt_amask_type pfa(*pixFmt, *alphaMask);
+ amask_ren_type r(pfa);
+ renderer_type ri(r, sa, image_span_generator);
+
+ theRasterizer->add_path(rect2);
+ agg::render_scanlines(*theRasterizer, *slineP8, ri);
+ } else {
+ set_clipbox(box_obj, rendererBase);
+ rendererBase->blend_from(pixf, 0, (int)x, (int)(height-(y+image->rowsOut)));
+ }
+
image->flipud_out(empty);
return Py::Object();
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|
|
From: <ef...@us...> - 2008-10-22 19:43:45
|
Revision: 6301
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6301&view=rev
Author: efiring
Date: 2008-10-22 19:43:40 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
When initializing a shared axes, respect limits already set on master.
This is a tentative first step; more will be required.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2008-10-22 19:38:46 UTC (rev 6300)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2008-10-22 19:43:40 UTC (rev 6301)
@@ -501,7 +501,6 @@
self.set_aspect('auto')
self.set_adjustable('box')
self.set_anchor('C')
-
self._sharex = sharex
self._sharey = sharey
if sharex is not None:
@@ -523,7 +522,6 @@
self._hold = rcParams['axes.hold']
self._connected = {} # a dict from events to (id, func)
self.cla()
-
# funcs used to format x and y - fall back on major formatters
self.fmt_xdata = None
self.fmt_ydata = None
@@ -798,6 +796,7 @@
def cla(self):
'Clear the current axes'
+ # Note: this is called by Axes.__init__()
self.xaxis.cla()
self.yaxis.cla()
@@ -805,12 +804,28 @@
self.callbacks = cbook.CallbackRegistry(('xlim_changed', 'ylim_changed'))
if self._sharex is not None:
+ # major and minor are class instances with
+ # locator and formatter attributes
self.xaxis.major = self._sharex.xaxis.major
self.xaxis.minor = self._sharex.xaxis.minor
+ x0, x1 = self._sharex.get_xlim()
+ self.set_xlim(x0, x1, emit=False)
+ self.xaxis.set_scale(self._sharex.xaxis.get_scale())
+ else:
+ self.xaxis.set_scale('linear')
+
if self._sharey is not None:
self.yaxis.major = self._sharey.yaxis.major
self.yaxis.minor = self._sharey.yaxis.minor
+ y0, y1 = self._sharex.get_ylim()
+ self.set_ylim(y0, y1, emit=False)
+ self.yaxis.set_scale(self._sharey.yaxis.get_scale())
+ else:
+ self.yaxis.set_scale('linear')
+ self._autoscaleon = True
+ self._update_transScale() # needed?
+
self._get_lines = _process_plot_var_args(self)
self._get_patches_for_fill = _process_plot_var_args(self, 'fill')
@@ -824,10 +839,6 @@
self.legend_ = None
self.collections = [] # collection.Collection instances
- self._autoscaleon = True
- self.set_xscale('linear')
- self.set_yscale('linear')
-
self.grid(self._gridOn)
props = font_manager.FontProperties(size=rcParams['axes.titlesize'])
@@ -1769,10 +1780,9 @@
def get_xlim(self):
"""
- Get the x-axis range as a length 2 attay [*xmin*, *xmax*]
+ Get the x-axis range [*xmin*, *xmax*]
"""
- # # copy of the viewlim array to avoid modify inplace surprises
- return self.viewLim.intervalx.copy()
+ return tuple(self.viewLim.intervalx)
def set_xlim(self, xmin=None, xmax=None, emit=True, **kwargs):
"""
@@ -1782,7 +1792,7 @@
Set the limits for the xaxis
- Returns the current xlimits as a length 2 tuple: (*xmin*, *xmax*)
+ Returns the current xlimits as a length 2 tuple: [*xmin*, *xmax*]
Examples::
@@ -1943,10 +1953,9 @@
def get_ylim(self):
"""
- Get the y-axis range as a length two array [*ymin*, *ymax*]
+ Get the y-axis range [*ymin*, *ymax*]
"""
- # copy of the viewlim array to avoid modify inplace surprises
- return self.viewLim.intervaly.copy()
+ return tuple(self.viewLim.intervaly)
def set_ylim(self, ymin=None, ymax=None, emit=True, **kwargs):
"""
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|
|
From: <ef...@us...> - 2008-10-22 19:38:59
|
Revision: 6300
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6300&view=rev
Author: efiring
Date: 2008-10-22 19:38:46 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
Make pyplot.twinx() and twiny() draw after creating the axes
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/pyplot.py
Modified: trunk/matplotlib/lib/matplotlib/pyplot.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/pyplot.py 2008-10-22 19:37:46 UTC (rev 6299)
+++ trunk/matplotlib/lib/matplotlib/pyplot.py 2008-10-22 19:38:46 UTC (rev 6300)
@@ -631,12 +631,13 @@
the right, and the *ax2* instance is returned.
.. seealso::
- :file:`examples/pylab_examples/two_scales.py`
+ :file:`examples/api_examples/two_scales.py`
"""
if ax is None:
ax=gca()
+ ax1 = ax.twinx()
draw_if_interactive()
- return ax.twinx()
+ return ax1
def twiny(ax=None):
@@ -647,8 +648,9 @@
"""
if ax is None:
ax=gca()
+ ax1 = ax.twiny()
draw_if_interactive()
- return ax.twiny()
+ return ax1
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|
|
From: <ef...@us...> - 2008-10-22 19:37:58
|
Revision: 6299
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6299&view=rev
Author: efiring
Date: 2008-10-22 19:37:46 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
whitespace deletion in cbook.py
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/cbook.py
Modified: trunk/matplotlib/lib/matplotlib/cbook.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/cbook.py 2008-10-22 19:28:14 UTC (rev 6298)
+++ trunk/matplotlib/lib/matplotlib/cbook.py 2008-10-22 19:37:46 UTC (rev 6299)
@@ -477,9 +477,9 @@
make directory *newdir* recursively, and set *mode*. Equivalent to ::
> mkdir -p NEWDIR
- > chmod MODE NEWDIR
+ > chmod MODE NEWDIR
"""
- try:
+ try:
if not os.path.exists(newdir):
parts = os.path.split(newdir)
for i in range(1, len(parts)+1):
@@ -1325,7 +1325,7 @@
This function has been moved to matplotlib.mlab -- please import
it from there
"""
- # deprecated from cbook in 0.98.4
+ # deprecated from cbook in 0.98.4
warnings.warn('less_simple_linear_interpolation has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
import matplotlib.mlab as mlab
return mlab.less_simple_linear_interpolation( x, y, xi, extrap=extrap )
@@ -1335,7 +1335,7 @@
This function has been moved to matplotlib.mlab -- please import
it from there
"""
- # deprecated from cbook in 0.98.4
+ # deprecated from cbook in 0.98.4
warnings.warn('isvector has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
import matplotlib.mlab as mlab
return mlab.isvector( x, y, xi, extrap=extrap )
@@ -1345,7 +1345,7 @@
This function has been moved to matplotlib.mlab -- please import
it from there
"""
- # deprecated from cbook in 0.98.4
+ # deprecated from cbook in 0.98.4
warnings.warn('vector_lengths has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
import matplotlib.mlab as mlab
return mlab.vector_lengths( X, P=2., axis=axis )
@@ -1355,7 +1355,7 @@
This function has been moved to matplotlib.mlab -- please import
it from there
"""
- # deprecated from cbook in 0.98.4
+ # deprecated from cbook in 0.98.4
warnings.warn('distances_along_curve has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
import matplotlib.mlab as mlab
return mlab.distances_along_curve( X )
@@ -1365,7 +1365,7 @@
This function has been moved to matplotlib.mlab -- please import
it from there
"""
- # deprecated from cbook in 0.98.4
+ # deprecated from cbook in 0.98.4
warnings.warn('path_length has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
import matplotlib.mlab as mlab
return mlab.path_length(X)
@@ -1375,7 +1375,7 @@
This function has been moved to matplotlib.mlab -- please import
it from there
"""
- # deprecated from cbook in 0.98.4
+ # deprecated from cbook in 0.98.4
warnings.warn('is_closed_polygon has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
import matplotlib.mlab as mlab
return mlab.is_closed_polygon(X)
@@ -1385,7 +1385,7 @@
This function has been moved to matplotlib.mlab -- please import
it from there
"""
- # deprecated from cbook in 0.98.4
+ # deprecated from cbook in 0.98.4
warnings.warn('quad2cubic has been moved to matplotlib.mlab -- please import it from there', DeprecationWarning)
import matplotlib.mlab as mlab
return mlab.quad2cubic(q0x, q0y, q1x, q1y, q2x, q2y)
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|
|
From: <jd...@us...> - 2008-10-22 18:45:31
|
Revision: 6297
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6297&view=rev
Author: jdh2358
Date: 2008-10-22 18:45:10 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
added ticker api docs
Modified Paths:
--------------
trunk/matplotlib/API_CHANGES
trunk/matplotlib/CHANGELOG
trunk/matplotlib/doc/api/index.rst
trunk/matplotlib/lib/matplotlib/axes.py
trunk/matplotlib/lib/matplotlib/ticker.py
Added Paths:
-----------
trunk/matplotlib/doc/api/ticker_api.rst
trunk/matplotlib/doc/utils/
trunk/matplotlib/doc/utils/pylab_names.py
Modified: trunk/matplotlib/API_CHANGES
===================================================================
--- trunk/matplotlib/API_CHANGES 2008-10-22 17:51:36 UTC (rev 6296)
+++ trunk/matplotlib/API_CHANGES 2008-10-22 18:45:10 UTC (rev 6297)
@@ -1,8 +1,8 @@
Changes for 0.98.x
==================
-* Restored 0.91 behavior of get_xlim/ylim returning a tuple
- rather than array - JDH
+* set_xlim, ylim now return a copy of the viewlim array to
+ avoid modify inplace surprises
* AFM.get_fullname() and get_familyname() no longer raise an
exception if the AFM file does not specify these optional attributes,
Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG 2008-10-22 17:51:36 UTC (rev 6296)
+++ trunk/matplotlib/CHANGELOG 2008-10-22 18:45:10 UTC (rev 6297)
@@ -1,5 +1,5 @@
-2008-10-21 Restored 0.91 behavior of get_xlim/ylim returning a tuple
- rather than array - JDH
+2008-10-21 set_xlim, ylim now return a copy of the viewlim array to
+ avoid modify inplace surprises
2008-10-20 Added image thumbnail generating function
matplotlib.image.thumbnail. See
Modified: trunk/matplotlib/doc/api/index.rst
===================================================================
--- trunk/matplotlib/doc/api/index.rst 2008-10-22 17:51:36 UTC (rev 6296)
+++ trunk/matplotlib/doc/api/index.rst 2008-10-22 18:45:10 UTC (rev 6297)
@@ -26,4 +26,5 @@
mlab_api.rst
path_api.rst
pyplot_api.rst
+ ticker_api.rst
index_backend_api.rst
Added: trunk/matplotlib/doc/api/ticker_api.rst
===================================================================
--- trunk/matplotlib/doc/api/ticker_api.rst (rev 0)
+++ trunk/matplotlib/doc/api/ticker_api.rst 2008-10-22 18:45:10 UTC (rev 6297)
@@ -0,0 +1,12 @@
+*******************
+matplotlib ticker
+*******************
+
+
+:mod:`matplotlib.ticker`
+==========================
+
+.. automodule:: matplotlib.ticker
+ :members:
+ :undoc-members:
+ :show-inheritance:
Added: trunk/matplotlib/doc/utils/pylab_names.py
===================================================================
--- trunk/matplotlib/doc/utils/pylab_names.py (rev 0)
+++ trunk/matplotlib/doc/utils/pylab_names.py 2008-10-22 18:45:10 UTC (rev 6297)
@@ -0,0 +1,60 @@
+"""
+autogenerate some tables for pylab namespace
+"""
+from pylab import *
+d = locals()
+keys = d.keys()
+keys.sort()
+
+modd = dict()
+for k in keys:
+ o = d[k]
+ if not callable(o):
+ continue
+ doc = getattr(o, '__doc__', None)
+ if doc is not None:
+ doc = ' - '.join([line for line in doc.split('\n') if line.strip()][:2])
+
+ mod = getattr(o, '__module__', None)
+ if mod is None:
+ mod = 'unknown'
+
+ if mod is not None:
+ if mod.startswith('matplotlib'):
+ if k[0].isupper():
+ k = ':class:`~%s.%s`'%(mod, k)
+ else:
+ k = ':func:`~%s.%s`'%(mod, k)
+ mod = ':mod:`%s`'%mod
+ elif mod.startswith('numpy'):
+ #k = '`%s <%s>`_'%(k, 'http://scipy.org/Numpy_Example_List_With_Doc#%s'%k)
+ k = '`%s <%s>`_'%(k, 'http://sd-2116.dedibox.fr/pydocweb/doc/%s.%s'%(mod, k))
+
+
+ if doc is None: doc = 'TODO'
+
+ mod, k, doc = mod.strip(), k.strip(), doc.strip()[:80]
+ modd.setdefault(mod, []).append((k, doc))
+
+mods = modd.keys()
+mods.sort()
+for mod in mods:
+ border = '*'*len(mod)
+ print mod
+ print border
+
+ print
+ funcs, docs = zip(*modd[mod])
+ maxfunc = max([len(f) for f in funcs])
+ maxdoc = max(40, max([len(d) for d in docs]) )
+ border = ' '.join(['='*maxfunc, '='*maxdoc])
+ print border
+ print ' '.join(['symbol'.ljust(maxfunc), 'description'.ljust(maxdoc)])
+ print border
+ for func, doc in modd[mod]:
+ row = ' '.join([func.ljust(maxfunc), doc.ljust(maxfunc)])
+ print row
+
+ print border
+ print
+ #break
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2008-10-22 17:51:36 UTC (rev 6296)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2008-10-22 18:45:10 UTC (rev 6297)
@@ -1769,9 +1769,10 @@
def get_xlim(self):
"""
- Get the x-axis range [*xmin*, *xmax*]
+ Get the x-axis range as a length 2 attay [*xmin*, *xmax*]
"""
- return tuple(self.viewLim.intervalx)
+ # # copy of the viewlim array to avoid modify inplace surprises
+ return self.viewLim.intervalx.copy()
def set_xlim(self, xmin=None, xmax=None, emit=True, **kwargs):
"""
@@ -1781,7 +1782,7 @@
Set the limits for the xaxis
- Returns the current xlimits as a length 2 tuple: [*xmin*, *xmax*]
+ Returns the current xlimits as a length 2 tuple: (*xmin*, *xmax*)
Examples::
@@ -1942,9 +1943,10 @@
def get_ylim(self):
"""
- Get the y-axis range [*ymin*, *ymax*]
+ Get the y-axis range as a length two array [*ymin*, *ymax*]
"""
- return tuple(self.viewLim.intervaly)
+ # copy of the viewlim array to avoid modify inplace surprises
+ return self.viewLim.intervaly.copy()
def set_ylim(self, ymin=None, ymax=None, emit=True, **kwargs):
"""
Modified: trunk/matplotlib/lib/matplotlib/ticker.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/ticker.py 2008-10-22 17:51:36 UTC (rev 6296)
+++ trunk/matplotlib/lib/matplotlib/ticker.py 2008-10-22 18:45:10 UTC (rev 6297)
@@ -21,28 +21,35 @@
The Locator subclasses defined here are
- * NullLocator - No ticks
+:class:`NullLocator`
+ No ticks
- * FixedLocator - Tick locations are fixed
+:class:`FixedLocator`
+ Tick locations are fixed
- * IndexLocator - locator for index plots (eg. where x = range(len(y)))
+:class:`IndexLocator`
+ locator for index plots (eg. where x = range(len(y)))
- * LinearLocator - evenly spaced ticks from min to max
+:class:`LinearLocator`
+ evenly spaced ticks from min to max
- * LogLocator - logarithmically ticks from min to max
+:class:`LogLocator`
+ logarithmically ticks from min to max
- * MultipleLocator - ticks and range are a multiple of base;
- either integer or float
+:class:`MultipleLocator`
+ ticks and range are a multiple of base;
+ either integer or float
+:class:`OldAutoLocator`
+ choose a MultipleLocator and dyamically reassign it for
+ intelligent ticking during navigation
- * OldAutoLocator - choose a MultipleLocator and dyamically reassign
- it for intelligent ticking during navigation
+:class:`MaxNLocator`
+ finds up to a max number of ticks at nice locations
- * MaxNLocator - finds up to a max number of ticks at nice
- locations
+:class:`AutoLocator`
+ :class:`MaxNLocator` with simple defaults. This is the default
+ tick locator for most plotting.
- * AutoLocator - MaxNLocator with simple defaults. This is the
- default tick locator for most plotting.
-
There are a number of locators specialized for date locations - see
the dates module
@@ -70,21 +77,27 @@
formatter operates on a single tick value and returns a string to the
axis.
- * NullFormatter - no labels on the ticks
+:clss:`NullFormatter`
+ no labels on the ticks
- * FixedFormatter - set the strings manually for the labels
+:clss:`FixedFormatter`
+ set the strings manually for the labels
- * FuncFormatter - user defined function sets the labels
+:clss:`FuncFormatter`
+ user defined function sets the labels
- * FormatStrFormatter - use a sprintf format string
+:clss:`FormatStrFormatter`
+ use a sprintf format string
- * ScalarFormatter - default formatter for scalars; autopick the fmt string
+:clss:`ScalarFormatter`
+ default formatter for scalars; autopick the fmt string
- * LogFormatter - formatter for log axes
+:clss:`LogFormatter`
+ formatter for log axes
You can derive your own formatter from the Formatter base class by
-simply overriding the __call__ method. The formatter class has access
+simply overriding the ``__call__`` method. The formatter class has access
to the axis view and data limits.
To control the major and minor tick label formats, use one of the
@@ -95,7 +108,7 @@
ax.yaxis.set_major_formatter( ymajorFormatter )
ax.yaxis.set_minor_formatter( yminorFormatter )
-See :file:`examples/major_minor_demo1.py` for an example of setting
+See :ref:`pylab_examples-major_minor_demo1` for an example of setting
major an minor ticks. See the :module:`matplotlib.dates` module for
more information and examples of using date locators and formatters.
"""
@@ -176,38 +189,38 @@
def fix_minus(self, s):
"""
some classes may want to replace a hyphen for minus with the
- proper unicode symbol as described here
-
- http://sourceforge.net/tracker/index.php?func=detail&aid=1962574&group_id=80706&atid=560720.
+ proper unicode symbol as described `here
+ <http://sourceforge.net/tracker/index.php?func=detail&aid=1962574&group_id=80706&atid=560720>`_.
The default is to do nothing
- Note, if you use this method, eg in format_data or call, you
- probably don't want to use it for format_data_short since the
- toolbar uses this for interative coord reporting and I doubt
- we can expect GUIs across platforms will handle the unicode
- correctly. So for now the classes that override fix_minus
- should have an explicit format_data_short method
+ Note, if you use this method, eg in :meth`format_data` or
+ call, you probably don't want to use it for
+ :meth:`format_data_short` since the toolbar uses this for
+ interative coord reporting and I doubt we can expect GUIs
+ across platforms will handle the unicode correctly. So for
+ now the classes that override :meth:`fix_minus` should have an
+ explicit :meth:`format_data_short` method
"""
return s
class NullFormatter(Formatter):
'Always return the empty string'
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
return ''
class FixedFormatter(Formatter):
'Return fixed strings for tick labels'
def __init__(self, seq):
"""
- seq is a sequence of strings. For positions i<len(seq) return
- seq[i] regardless of x. Otherwise return ''
+ seq is a sequence of strings. For positions ``i<len(seq)` return
+ *seq[i]* regardless of *x*. Otherwise return ''
"""
self.seq = seq
self.offset_string = ''
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
if pos is None or pos>=len(self.seq): return ''
else: return self.seq[pos]
@@ -225,7 +238,7 @@
self.func = func
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
return self.func(x, pos)
@@ -237,7 +250,7 @@
self.fmt = fmt
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
return self.fmt % x
class OldScalarFormatter(Formatter):
@@ -246,7 +259,7 @@
"""
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
xmin, xmax = self.axis.get_view_interval()
d = abs(xmax - xmin)
@@ -304,7 +317,7 @@
else: return s.replace('-', u'\u2212')
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
if len(self.locs)==0:
return ''
else:
@@ -313,7 +326,7 @@
def set_scientific(self, b):
'''True or False to turn scientific notation on or off
- see also set_powerlimits()
+ see also :meth:`set_powerlimits`
'''
self._scientific = bool(b)
@@ -321,7 +334,7 @@
'''
Sets size thresholds for scientific notation.
- e.g. xaxis.set_powerlimits((-3, 4)) sets the pre-2007 default in
+ e.g. ``xaxis.set_powerlimits((-3, 4))`` sets the pre-2007 default in
which scientific notation is used for numbers less than
1e-3 or greater than 1e4.
See also :meth:`set_scientific`.
@@ -463,20 +476,20 @@
"""
Format values for log axis;
- if attribute decadeOnly is True, only the decades will be labelled.
+ if attribute *decadeOnly* is True, only the decades will be labelled.
"""
def __init__(self, base=10.0, labelOnlyBase = True):
"""
- base is used to locate the decade tick,
- which will be the only one to be labeled if labelOnlyBase
- is False
+ *base* is used to locate the decade tick,
+ which will be the only one to be labeled if *labelOnlyBase*
+ is ``False``
"""
self._base = base+0.0
self.labelOnlyBase=labelOnlyBase
self.decadeOnly = True
def base(self,base):
- 'change the base for labeling - warning: should always match the base used for LogLocator'
+ 'change the *base* for labeling - warning: should always match the base used for :class:`LogLocator`'
self._base=base
def label_minor(self,labelOnlyBase):
@@ -485,7 +498,7 @@
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
vmin, vmax = self.axis.get_view_interval()
d = abs(vmax - vmin)
b=self._base
@@ -548,11 +561,11 @@
class LogFormatterExponent(LogFormatter):
"""
- Format values for log axis; using exponent = log_base(value)
+ Format values for log axis; using ``exponent = log_base(value)``
"""
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
vmin, vmax = self.axis.get_view_interval()
@@ -580,11 +593,11 @@
class LogFormatterMathtext(LogFormatter):
"""
- Format values for log axis; using exponent = log_base(value)
+ Format values for log axis; using ``exponent = log_base(value)``
"""
def __call__(self, x, pos=None):
- 'Return the format for tick val x at position pos'
+ 'Return the format for tick val *x* at position *pos*'
b = self._base
# only label the decades
if x == 0:
@@ -619,7 +632,7 @@
"""
Determine the tick locations;
- Note, you should not use the same locator between different Axis
+ Note, you should not use the same locator between different :class:`~matplotlib.axis.Axis`
because the locator stores references to the Axis data and view
limits
"""
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|
|
From: <md...@us...> - 2008-10-22 17:51:45
|
Revision: 6296
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6296&view=rev
Author: mdboom
Date: 2008-10-22 17:51:36 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
Fix text alignment in PDF backend. (At suggestion of Stan West).
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/backends/backend_pdf.py
Modified: trunk/matplotlib/lib/matplotlib/backends/backend_pdf.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/backends/backend_pdf.py 2008-10-22 17:29:41 UTC (rev 6295)
+++ trunk/matplotlib/lib/matplotlib/backends/backend_pdf.py 2008-10-22 17:51:36 UTC (rev 6296)
@@ -1268,14 +1268,15 @@
lastx, lasty = x, y
output(Op.grestore)
- def _setup_textpos(self, x, y, angle, oldx=0, oldy=0, oldangle=0):
+ def _setup_textpos(self, x, y, descent, angle, oldx=0, oldy=0, olddescent=0, oldangle=0):
if angle == oldangle == 0:
- self.file.output(x - oldx, y - oldy, Op.textpos)
+ self.file.output(x - oldx, (y + descent) - (oldy + olddescent), Op.textpos)
else:
angle = angle / 180.0 * pi
self.file.output( cos(angle), sin(angle),
-sin(angle), cos(angle),
x, y, Op.textmatrix)
+ self.file.output(0, descent, Op.textpos)
def draw_mathtext(self, gc, x, y, s, prop, angle):
# TODO: fix positioning and encoding
@@ -1305,7 +1306,7 @@
fonttype = global_fonttype
if fonttype == 42 or num <= 255:
- self._setup_textpos(ox, oy, 0, oldx, oldy)
+ self._setup_textpos(ox, oy, 0, 0, oldx, oldy)
oldx, oldy = ox, oy
if (fontname, fontsize) != prev_font:
fontsize *= self.dpi/72.0
@@ -1398,7 +1399,7 @@
self.file.output(elt[1], elt[2], Op.selectfont)
elif elt[0] == 'text':
curx, cury = mytrans.transform((elt[1], elt[2]))
- self._setup_textpos(curx, cury, angle, oldx, oldy)
+ self._setup_textpos(curx, cury, 0, angle, oldx, oldy)
oldx, oldy = curx, cury
if len(elt[3]) == 1:
self.file.output(elt[3][0], Op.show)
@@ -1447,13 +1448,13 @@
if rcParams['pdf.use14corefonts']:
font = self._get_font_afm(prop)
l, b, w, h = font.get_str_bbox(s)
- y -= b * fontsize / 1000
+ descent = -b * fontsize / 1000
fonttype = 42
else:
font = self._get_font_ttf(prop)
self.track_characters(font, s)
font.set_text(s, 0.0, flags=LOAD_NO_HINTING)
- y += font.get_descent() / 64.0
+ descent = font.get_descent() / 64.0
fonttype = rcParams['pdf.fonttype']
@@ -1493,7 +1494,7 @@
self.file.fontName(prop),
fontsize,
Op.selectfont)
- self._setup_textpos(x, y, angle)
+ self._setup_textpos(x, y, descent, angle)
self.file.output(self.encode_string(s, fonttype), Op.show, Op.end_text)
def draw_text_woven(chunks):
@@ -1514,6 +1515,7 @@
# output all the 2-byte characters.
for mode in (1, 2):
newx = oldx = 0
+ olddescent = 0
# Output a 1-byte character chunk
if mode == 1:
self.file.output(Op.begin_text,
@@ -1523,9 +1525,10 @@
for chunk_type, chunk in chunks:
if mode == 1 and chunk_type == 1:
- self._setup_textpos(newx, 0, 0, oldx, 0, 0)
+ self._setup_textpos(newx, 0, descent, 0, oldx, 0, olddescent, 0)
self.file.output(self.encode_string(chunk, fonttype), Op.show)
oldx = newx
+ olddescent = descent
lastgind = None
for c in chunk:
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|
|
From: <md...@us...> - 2008-10-22 17:29:49
|
Revision: 6295
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6295&view=rev
Author: mdboom
Date: 2008-10-22 17:29:41 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
Fix alignment of Unicode strings in PS backend. Thanks, Stan West.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/backends/backend_ps.py
Modified: trunk/matplotlib/lib/matplotlib/backends/backend_ps.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/backends/backend_ps.py 2008-10-22 15:27:24 UTC (rev 6294)
+++ trunk/matplotlib/lib/matplotlib/backends/backend_ps.py 2008-10-22 17:29:41 UTC (rev 6295)
@@ -669,7 +669,8 @@
fontsize = prop.get_size_in_points()
scale = 0.001*fontsize
- thisx, thisy = 0, 0
+ thisx = 0
+ thisy = font.get_str_bbox_and_descent(s)[4] * scale
last_name = None
lines = []
for c in s:
@@ -705,16 +706,18 @@
else:
font = self._get_font_ttf(prop)
+ font.set_text(s, 0, flags=LOAD_NO_HINTING)
+ self.track_characters(font, s)
self.set_color(*gc.get_rgb())
self.set_font(font.get_sfnt()[(1,0,0,6)], prop.get_size_in_points())
- self.track_characters(font, s)
cmap = font.get_charmap()
lastgind = None
#print 'text', s
lines = []
- thisx, thisy = 0,0
+ thisx = 0
+ thisy = font.get_descent() / 64.0
for c in s:
ccode = ord(c)
gind = cmap.get(ccode)
@@ -739,11 +742,11 @@
thetext = '\n'.join(lines)
ps = """gsave
- %(x)f %(y)f translate
- %(angle)f rotate
- %(thetext)s
- grestore
- """ % locals()
+%(x)f %(y)f translate
+%(angle)f rotate
+%(thetext)s
+grestore
+""" % locals()
self._pswriter.write(ps)
def draw_mathtext(self, gc,
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|
|
From: <md...@us...> - 2008-10-22 15:27:31
|
Revision: 6294
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6294&view=rev
Author: mdboom
Date: 2008-10-22 15:27:24 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
Fix buglet in font_manager.py
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/font_manager.py
Modified: trunk/matplotlib/lib/matplotlib/font_manager.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/font_manager.py 2008-10-22 13:27:22 UTC (rev 6293)
+++ trunk/matplotlib/lib/matplotlib/font_manager.py 2008-10-22 15:27:24 UTC (rev 6294)
@@ -1005,7 +1005,7 @@
verbose.report('\tfindfont failed %(name)s, %(style)s, %(variant)s'%locals(), 'debug')
return None
- if weight in font:
+ if weight not in font:
setWeights(font)
if weight not in font:
return None
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|
|
From: <js...@us...> - 2008-10-22 13:27:27
|
Revision: 6293
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6293&view=rev
Author: jswhit
Date: 2008-10-22 13:27:22 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
python 2.6 tweaks
Modified Paths:
--------------
trunk/toolkits/basemap/lib/httplib2/__init__.py
Modified: trunk/toolkits/basemap/lib/httplib2/__init__.py
===================================================================
--- trunk/toolkits/basemap/lib/httplib2/__init__.py 2008-10-22 02:18:59 UTC (rev 6292)
+++ trunk/toolkits/basemap/lib/httplib2/__init__.py 2008-10-22 13:27:22 UTC (rev 6293)
@@ -26,7 +26,10 @@
import re
import sys
-import md5
+try:
+ from hashlib import md5
+except ImportError:
+ import md5
import email
import email.Utils
import email.Message
@@ -41,7 +44,10 @@
import calendar
import time
import random
-import sha
+try:
+ from hashlib import sha1 as sha
+except ImportError:
+ import sha
import hmac
from gettext import gettext as _
import socket
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|
|
From: <jd...@us...> - 2008-10-22 02:19:09
|
Revision: 6292
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6292&view=rev
Author: jdh2358
Date: 2008-10-22 02:18:59 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
some screenshots fixes
Modified Paths:
--------------
trunk/matplotlib/doc/users/screenshots.rst
Modified: trunk/matplotlib/doc/users/screenshots.rst
===================================================================
--- trunk/matplotlib/doc/users/screenshots.rst 2008-10-22 02:02:22 UTC (rev 6291)
+++ trunk/matplotlib/doc/users/screenshots.rst 2008-10-22 02:18:59 UTC (rev 6292)
@@ -150,7 +150,7 @@
formatters for both the major and minor ticks; see matplotlib.ticker
and matplotlib.dates for details and usage.
-plot:: mpl_examples/api/date_demo.py
+.. plot:: mpl_examples/api/date_demo.py
.. _screenshots_jdh_demo:
@@ -159,7 +159,7 @@
You can make much more sophisticated financial plots. This example
emulates one of the `ChartDirector
-<http://www.advsofteng.com/gallery_finance.html>` financial plots.
+<http://www.advsofteng.com/gallery_finance.html>`_ financial plots.
Some of the data in the plot, are real financial data, some are random
traces that I used since the goal was to illustrate plotting
techniques, not market analysis!
@@ -228,12 +228,14 @@
A sampling of the many TeX expressions now supported by matplotlib's
internal mathtext engine. The mathtext module provides TeX style
-mathematical expressions using freetype2 and the BaKoMa computer
-modern or STIX fonts. See the matplotlib.mathtext module for
-additional. matplotlib mathtext is an independent implementation, and
-does not required TeX or any external packages installed on your
-computer.
-
+mathematical expressions using `freetype2
+<http://freetype.sourceforge.net/index2.html>`_ and the BaKoMa
+computer modern or `STIX <http://www.stixfonts.org>`_ fonts. See the
+:mod:`matplotlib.mathtext` module for additional. matplotlib mathtext
+is an independent implementation, and does not required TeX or any
+external packages installed on your computer. See the tutorial at
+:ref:`mathtext-tutorial`.
+
.. plot:: mpl_examples/pylab_examples/mathtext_examples.py
.. _screenshots_tex_demo:
@@ -249,21 +251,21 @@
.. _screenshots_eeg_demo:
+EEG demo
=========
You can embed matplotlib into pygtk, wxpython, Tk, FLTK or Qt
applications. Here is a screenshot of an eeg viewer called pbrain
which is part of the NeuroImaging in Python suite `NIPY
-<http://neuroimaging.scipy.org>`. Pbrain is written in pygtk using
+<http://neuroimaging.scipy.org>`_. Pbrain is written in pygtk using
matplotlib. The lower axes uses :func:`~matplotlib.pyplot.specgram`
-to plot the spectrogram of one of the EEG channels. The code demo
-linked above is a much simpler example of embedding matplotlib in
-pygtk. For an example of how to use the navigation toolbar in your
-applications, see examples/user_interfaces/embedding_in_gtk2.py. If
-you want to use matplotlib in a wx application, see
-examples/user_interfaces/embedding_in_wx2.py. If you want to work
-with `glade <http://glade.gnome.org>`_, see
-examples/user_interfaces/mpl_with_glade.py
+to plot the spectrogram of one of the EEG channels. For an example of
+how to use the navigation toolbar in your applications, see
+:ref:`user_interfaces-embedding_in_gtk2`. If you want to use
+matplotlib in a wx application, see
+:ref:`user_interfaces-embedding_in_wx2`. If you want to work with
+`glade <http://glade.gnome.org>`_, see
+:ref:`user_interfaces-mpl_with_glade`.
.. image:: ../_static/eeg_small.png
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|
|
From: <jd...@us...> - 2008-10-22 02:02:28
|
Revision: 6291
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6291&view=rev
Author: jdh2358
Date: 2008-10-22 02:02:22 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
applied Pauls keybinding patch
Modified Paths:
--------------
trunk/matplotlib/doc/users/navigation_toolbar.rst
trunk/matplotlib/lib/matplotlib/backend_bases.py
Modified: trunk/matplotlib/doc/users/navigation_toolbar.rst
===================================================================
--- trunk/matplotlib/doc/users/navigation_toolbar.rst 2008-10-22 01:24:18 UTC (rev 6290)
+++ trunk/matplotlib/doc/users/navigation_toolbar.rst 2008-10-22 02:02:22 UTC (rev 6291)
@@ -76,6 +76,30 @@
``svg`` and ``pdf``.
+Navigation Keyboard Shortcuts
+-----------------------------
+
+================================== =====================
+Command Keyboard Shortcut(s)
+================================== =====================
+Home/Reset **h** or **r** or **home**
+Back **c** or **left arrow** or **backspace**
+Forward **v** or **right arrow**
+Pan/Zoom **p**
+Zoom-to-rect **o**
+Save **s**
+Toggle fullscreen **f**
+---------------------------------- ---------------------
+**Pan/Zoom mode only**
+- constrain pan/zoom to x axis hold **x**
+- constrain pan/zoom to y axis hold **y**
+- preserve aspect ratio hold **CONTROL**
+---------------------------------- ---------------------
+**In axes only**
+- Toggle grid **g**
+- Toggle y axis scale (log/linear) **l**
+================================== =====================
+
If you are using :mod:`matplotlib.pyplot` the toolbar will be created
automatically for every figure. If you are writing your own user
interface code, you can add the toolbar as a widget. The exact syntax
Modified: trunk/matplotlib/lib/matplotlib/backend_bases.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/backend_bases.py 2008-10-22 01:24:18 UTC (rev 6290)
+++ trunk/matplotlib/lib/matplotlib/backend_bases.py 2008-10-22 02:02:22 UTC (rev 6291)
@@ -1513,6 +1513,23 @@
if event.key == 'f':
self.full_screen_toggle()
+
+ # *h*ome or *r*eset mnemonic
+ elif event.key == 'h' or event.key == 'r' or event.key == "home":
+ self.canvas.toolbar.home()
+ # c and v to enable left handed quick navigation
+ elif event.key == 'left' or event.key == 'c' or event.key == 'backspace':
+ self.canvas.toolbar.back()
+ elif event.key == 'right' or event.key == 'v':
+ self.canvas.toolbar.forward()
+ # *p*an mnemonic
+ elif event.key == 'p':
+ self.canvas.toolbar.pan()
+ # z*o*om mnemonic
+ elif event.key == 'o':
+ self.canvas.toolbar.zoom()
+ elif event.key == 's':
+ self.canvas.toolbar.save_figure(self.canvas.toolbar)
if event.inaxes is None:
return
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|
|
From: <jd...@us...> - 2008-10-22 01:24:30
|
Revision: 6290
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6290&view=rev
Author: jdh2358
Date: 2008-10-22 01:24:18 +0000 (Wed, 22 Oct 2008)
Log Message:
-----------
fixed install doc bug 2184682
Modified Paths:
--------------
trunk/matplotlib/doc/examples/gen_rst.py
trunk/matplotlib/doc/faq/howto_faq.rst
trunk/matplotlib/doc/users/installing.rst
trunk/matplotlib/examples/pylab_examples/date_demo1.py
trunk/matplotlib/examples/pylab_examples/date_demo2.py
Modified: trunk/matplotlib/doc/examples/gen_rst.py
===================================================================
--- trunk/matplotlib/doc/examples/gen_rst.py 2008-10-21 17:58:18 UTC (rev 6289)
+++ trunk/matplotlib/doc/examples/gen_rst.py 2008-10-22 01:24:18 UTC (rev 6290)
@@ -150,7 +150,7 @@
contents = '\n'.join([' %s'%row.rstrip() for row in contents.split('\n')])
fh.write(contents)
- fh.write('\n\nKeywords: codex (see :ref:`how-to-search-examples`), python, matplotlib, pylab')
+ fh.write('\n\nKeywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)')
fh.close()
fhsubdirIndex.close()
Modified: trunk/matplotlib/doc/faq/howto_faq.rst
===================================================================
--- trunk/matplotlib/doc/faq/howto_faq.rst 2008-10-21 17:58:18 UTC (rev 6289)
+++ trunk/matplotlib/doc/faq/howto_faq.rst 2008-10-22 01:24:18 UTC (rev 6290)
@@ -431,7 +431,7 @@
.. _howto-show
-Use :func:`~matplotlib.pyplot.show`
+Use :func:`~matplotlib.pyplot.show`
------------------------------------------
The user interface backends need to start the GUI mainloop, and this
@@ -655,13 +655,13 @@
The nearly 300 code :ref:`examples-index` included with the matplotlib
source distribution are full-text searchable from the :ref:`search`
page, but sometimes when you search, you get a lot of results from the
-:ref:`api-index` or other documentation that you may not be interested in if
-you just want to find a complete, free-standing, working piece of
-example code. To facilitate example searches, we have tagged every
-page with the keyword ``codex`` for *code example* which shouldn't
-appear anywhere else on this site except in the FAQ and in every
-example. So if you want to search for an example that uses an ellipse,
-:ref:`search` for ``codex ellipse``.
+:ref:`api-index` or other documentation that you may not be interested
+in if you just want to find a complete, free-standing, working piece
+of example code. To facilitate example searches, we have tagged every
+code example page with the keyword ``codex`` for *code example* which
+shouldn't appear anywhere else on this site except in the FAQ and in
+every example. So if you want to search for an example that uses an
+ellipse, :ref:`search` for ``codex ellipse``.
Modified: trunk/matplotlib/doc/users/installing.rst
===================================================================
--- trunk/matplotlib/doc/users/installing.rst 2008-10-21 17:58:18 UTC (rev 6289)
+++ trunk/matplotlib/doc/users/installing.rst 2008-10-22 01:24:18 UTC (rev 6290)
@@ -39,7 +39,7 @@
progress::
>>> import numpy
- >>> print numpy.__versions__
+ >>> print numpy.__version__
matplotlib requires numpy version 1.1 or later. Although it is not a
requirement to use matplotlib, we strongly encourage you to install
Modified: trunk/matplotlib/examples/pylab_examples/date_demo1.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/date_demo1.py 2008-10-21 17:58:18 UTC (rev 6289)
+++ trunk/matplotlib/examples/pylab_examples/date_demo1.py 2008-10-22 01:24:18 UTC (rev 6290)
@@ -49,4 +49,5 @@
ax.fmt_ydata = price
ax.grid(True)
+fig.autofmt_xdate()
show()
Modified: trunk/matplotlib/examples/pylab_examples/date_demo2.py
===================================================================
--- trunk/matplotlib/examples/pylab_examples/date_demo2.py 2008-10-21 17:58:18 UTC (rev 6289)
+++ trunk/matplotlib/examples/pylab_examples/date_demo2.py 2008-10-22 01:24:18 UTC (rev 6290)
@@ -14,8 +14,11 @@
date1 = datetime.date( 2002, 1, 5 )
date2 = datetime.date( 2003, 12, 1 )
-mondays = WeekdayLocator(MONDAY) # every monday
-months = MonthLocator(range(1,13), bymonthday=1) # every month
+# every monday
+mondays = WeekdayLocator(MONDAY)
+
+# every 3rd month
+months = MonthLocator(range(1,13), bymonthday=1, interval=3)
monthsFmt = DateFormatter("%b '%y")
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
|
|
From: <jd...@us...> - 2008-10-21 17:58:24
|
Revision: 6289
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6289&view=rev
Author: jdh2358
Date: 2008-10-21 17:58:18 +0000 (Tue, 21 Oct 2008)
Log Message:
-----------
fixed a docstring in mlab
Modified Paths:
--------------
trunk/matplotlib/doc/_templates/index.html
trunk/matplotlib/lib/matplotlib/mlab.py
Modified: trunk/matplotlib/doc/_templates/index.html
===================================================================
--- trunk/matplotlib/doc/_templates/index.html 2008-10-21 15:26:22 UTC (rev 6288)
+++ trunk/matplotlib/doc/_templates/index.html 2008-10-21 17:58:18 UTC (rev 6289)
@@ -16,7 +16,7 @@
<p>matplotlib tries to make easy things easy and hard things possible.
You can generate plots, histograms, power spectra, bar charts,
errorcharts, scatterplots, etc, with just a few lines of code.
- For a sampling, see the <a href="{{ pathto('users/screenshots') }}">screenshots</a>, <a href="{{ pathto('gallery') }}">thumbnail gallery</a>, and
+ For a sampling, see the <a href="{{ pathto('users/screenshots') }}">screenshots</a>, <a href="{{ pathto('gallery') }}">thumbnail</a> gallery, and
<a href="examples/index.html">examples</a> directory</p>
<p align="center"><a href="{{ pathto('users/screenshots') }}"><img align="middle"
@@ -36,11 +36,12 @@
<p>For the power user, you have full control of line styles, font
properties, axes properties, etc, via an object oriented interface
or via a handle graphics interface familiar to Matlab® users.
- The plotting functions in the <a href="api/pyplot_api.html">pyplot</a>
- interface have a high degree of Matlab® compatibility.</p>
+ The pylab mode provides all of the <a href="api/pyplot_api.html">pyplot</a> plotting
+ functions listed below, as well as non-plotting functions from
+ <a href=http://scipy.org/Numpy_Example_List_With_Doc>numpy</a> and
+<a href="api/mlab_api.html">matplotlib.mlab</a> </p>
- <h3>Plotting commands</h3>
- <br/>
+ <h3>Plotting commands</h3> <br/>
<table border="1" cellpadding="3" cellspacing="2">
Modified: trunk/matplotlib/lib/matplotlib/mlab.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/mlab.py 2008-10-21 15:26:22 UTC (rev 6288)
+++ trunk/matplotlib/lib/matplotlib/mlab.py 2008-10-21 17:58:18 UTC (rev 6289)
@@ -117,6 +117,7 @@
The following are deprecated; please import directly from numpy (with
care--function signatures may differ):
+
:meth:`conv`
convolution (numpy.convolve)
@@ -129,6 +130,9 @@
:meth:`linspace`
Linear spaced array from min to max
+:meth:`load`
+ load ASCII file - use numpy.loadtxt
+
:meth:`meshgrid`
Make a 2D grid from 2 1 arrays (numpy.meshgrid)
@@ -138,11 +142,14 @@
:meth:`polyval`
evaluate a vector for a vector of polynomial coeffs (numpy.polyval)
+:meth:`save`
+ save ASCII file - use numpy.savetxt
+
:meth:`trapz`
trapeziodal integration (trapz(x,y) -> numpy.trapz(y,x))
:meth:`vander`
- the Vandermonde matrix (numpy.vander)
+ the Vandermonde matrix (numpy.vander)
"""
@@ -247,13 +254,13 @@
to calculate the Fourier frequencies, freqs, in cycles per time
unit.
- *NFFT*
+ *NFFT*
The length of the FFT window. Must be even; a power 2 is most efficient.
- *detrend*
+ *detrend*
is a function, unlike in matlab where it is a vector.
- *window*
+ *window*
can be a function or a vector of length NFFT. To create window
vectors see numpy.blackman, numpy.hamming, numpy.bartlett,
scipy.signal, scipy.signal.get_window etc.
@@ -478,7 +485,7 @@
.. math::
- C_{xy} = \frac{|P_{xy}|^2}/{P_{xx}P_{yy}}
+ C_{xy} = \\frac{|P_{xy}|^2}{P_{xx}P_{yy}}
The return value is the tuple (*Cxy*, *f*), where *f* are the
frequencies of the coherence vector.
@@ -967,11 +974,11 @@
*y0*
initial state vector
-
+
*t*
- sample times
+ sample times
- *derivs*
+ *derivs*
returns the derivative of the system and has the
signature ``dy = derivs(yi, ti)``
@@ -1149,7 +1156,7 @@
Returns :
.. math::
- \lambda = \frac{1}{n}\sum \ln|f^'(x_i)|
+ \lambda = \\frac{1}{n}\\sum \\ln|f^'(x_i)|
.. seealso::
Sec 10.5 Strogatz (1994) "Nonlinear Dynamics and Chaos".
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
|
|
From: <jd...@us...> - 2008-10-21 15:26:39
|
Revision: 6288
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6288&view=rev
Author: jdh2358
Date: 2008-10-21 15:26:22 +0000 (Tue, 21 Oct 2008)
Log Message:
-----------
restored the support for multiple pyplots that I broke earlier
Modified Paths:
--------------
trunk/matplotlib/API_CHANGES
trunk/matplotlib/CHANGELOG
trunk/matplotlib/doc/_templates/gallery.html
trunk/matplotlib/doc/make.py
trunk/matplotlib/doc/sphinxext/plot_directive.py
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/API_CHANGES
===================================================================
--- trunk/matplotlib/API_CHANGES 2008-10-21 14:52:59 UTC (rev 6287)
+++ trunk/matplotlib/API_CHANGES 2008-10-21 15:26:22 UTC (rev 6288)
@@ -1,7 +1,9 @@
-
Changes for 0.98.x
==================
-
+
+* Restored 0.91 behavior of get_xlim/ylim returning a tuple
+ rather than array - JDH
+
* AFM.get_fullname() and get_familyname() no longer raise an
exception if the AFM file does not specify these optional attributes,
but returns a guess based on the required FontName attribute.
Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG 2008-10-21 14:52:59 UTC (rev 6287)
+++ trunk/matplotlib/CHANGELOG 2008-10-21 15:26:22 UTC (rev 6288)
@@ -1,3 +1,6 @@
+2008-10-21 Restored 0.91 behavior of get_xlim/ylim returning a tuple
+ rather than array - JDH
+
2008-10-20 Added image thumbnail generating function
matplotlib.image.thumbnail. See
examples/misc/image_thumbnail.py - JDH
@@ -5,8 +8,8 @@
2008-10-20 Applied scatleg patch based on ideas and work by Erik
Tollerud and Jae-Joon Lee. - MM
-2008-10-11 Fixed bug in pdf backend: if you pass a file object for
- output instead of a filename, e.g. in a wep app, we now
+2008-10-11 Fixed bug in pdf backend: if you pass a file object for
+ output instead of a filename, e.g. in a wep app, we now
flush the object at the end. - JKS
2008-10-08 Add path simplification support to paths with gaps. - EF
Modified: trunk/matplotlib/doc/_templates/gallery.html
===================================================================
--- trunk/matplotlib/doc/_templates/gallery.html 2008-10-21 14:52:59 UTC (rev 6287)
+++ trunk/matplotlib/doc/_templates/gallery.html 2008-10-21 15:26:22 UTC (rev 6288)
@@ -23,7 +23,7 @@
<a href="examples/api/date_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/date_demo.png" border="0" alt="date_demo"/></a>
-<a href="examples/api/date_index_formatter.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/date_index_formatter.png" border="0" alt="date_index_formatter"/></a>
+<a href="examples/api/date_index_formatter.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/date_index_formatter_00.png" border="0" alt="date_index_formatter"/></a>
<a href="examples/api/date_index_formatter.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/date_index_formatter_01.png" border="0" alt="date_index_formatter"/></a>
@@ -57,13 +57,13 @@
<a href="examples/pylab_examples/accented_text.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/accented_text.png" border="0" alt="accented_text"/></a>
-<a href="examples/pylab_examples/agg_buffer_to_array.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/agg_buffer_to_array.png" border="0" alt="agg_buffer_to_array"/></a>
+<a href="examples/pylab_examples/agg_buffer_to_array.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/agg_buffer_to_array_00.png" border="0" alt="agg_buffer_to_array"/></a>
<a href="examples/pylab_examples/agg_buffer_to_array.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/agg_buffer_to_array_01.png" border="0" alt="agg_buffer_to_array"/></a>
<a href="examples/pylab_examples/alignment_test.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/alignment_test.png" border="0" alt="alignment_test"/></a>
-<a href="examples/pylab_examples/annotation_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/annotation_demo.png" border="0" alt="annotation_demo"/></a>
+<a href="examples/pylab_examples/annotation_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/annotation_demo_00.png" border="0" alt="annotation_demo"/></a>
<a href="examples/pylab_examples/annotation_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/annotation_demo_01.png" border="0" alt="annotation_demo"/></a>
@@ -91,11 +91,11 @@
<a href="examples/pylab_examples/barcode_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barcode_demo.png" border="0" alt="barcode_demo"/></a>
-<a href="examples/pylab_examples/barh_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barh_demo.png" border="0" alt="barh_demo"/></a>
+<a href="examples/pylab_examples/barh_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barh_demo_00.png" border="0" alt="barh_demo"/></a>
<a href="examples/pylab_examples/barh_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barh_demo_01.png" border="0" alt="barh_demo"/></a>
-<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo.png" border="0" alt="boxplot_demo"/></a>
+<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo_00.png" border="0" alt="boxplot_demo"/></a>
<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo_01.png" border="0" alt="boxplot_demo"/></a>
@@ -121,7 +121,7 @@
<a href="examples/pylab_examples/color_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/color_demo.png" border="0" alt="color_demo"/></a>
-<a href="examples/pylab_examples/contour_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_demo.png" border="0" alt="contour_demo"/></a>
+<a href="examples/pylab_examples/contour_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_demo_00.png" border="0" alt="contour_demo"/></a>
<a href="examples/pylab_examples/contour_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_demo_01.png" border="0" alt="contour_demo"/></a>
@@ -133,11 +133,11 @@
<a href="examples/pylab_examples/contour_image.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_image.png" border="0" alt="contour_image"/></a>
-<a href="examples/pylab_examples/contour_label_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_label_demo.png" border="0" alt="contour_label_demo"/></a>
+<a href="examples/pylab_examples/contour_label_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_label_demo_00.png" border="0" alt="contour_label_demo"/></a>
<a href="examples/pylab_examples/contour_label_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_label_demo_01.png" border="0" alt="contour_label_demo"/></a>
-<a href="examples/pylab_examples/contourf_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contourf_demo.png" border="0" alt="contourf_demo"/></a>
+<a href="examples/pylab_examples/contourf_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contourf_demo_00.png" border="0" alt="contourf_demo"/></a>
<a href="examples/pylab_examples/contourf_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contourf_demo_01.png" border="0" alt="contourf_demo"/></a>
@@ -181,7 +181,7 @@
<a href="examples/pylab_examples/equal_aspect_ratio.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/equal_aspect_ratio.png" border="0" alt="equal_aspect_ratio"/></a>
-<a href="examples/pylab_examples/errorbar_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/errorbar_demo.png" border="0" alt="errorbar_demo"/></a>
+<a href="examples/pylab_examples/errorbar_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/errorbar_demo_00.png" border="0" alt="errorbar_demo"/></a>
<a href="examples/pylab_examples/errorbar_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/errorbar_demo_01.png" border="0" alt="errorbar_demo"/></a>
@@ -201,7 +201,7 @@
<a href="examples/pylab_examples/errorbar_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/errorbar_demo_09.png" border="0" alt="errorbar_demo"/></a>
-<a href="examples/pylab_examples/errorbar_limits.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/errorbar_limits.png" border="0" alt="errorbar_limits"/></a>
+<a href="examples/pylab_examples/errorbar_limits.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/errorbar_limits_00.png" border="0" alt="errorbar_limits"/></a>
<a href="examples/pylab_examples/errorbar_limits.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/errorbar_limits_01.png" border="0" alt="errorbar_limits"/></a>
@@ -253,7 +253,7 @@
<a href="examples/pylab_examples/histogram_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/histogram_demo.png" border="0" alt="histogram_demo"/></a>
-<a href="examples/pylab_examples/histogram_demo_extended.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/histogram_demo_extended.png" border="0" alt="histogram_demo_extended"/></a>
+<a href="examples/pylab_examples/histogram_demo_extended.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/histogram_demo_extended_00.png" border="0" alt="histogram_demo_extended"/></a>
<a href="examples/pylab_examples/histogram_demo_extended.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/histogram_demo_extended_01.png" border="0" alt="histogram_demo_extended"/></a>
@@ -273,7 +273,7 @@
<a href="examples/pylab_examples/image_demo3.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/image_demo3.png" border="0" alt="image_demo3"/></a>
-<a href="examples/pylab_examples/image_interp.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/image_interp.png" border="0" alt="image_interp"/></a>
+<a href="examples/pylab_examples/image_interp.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/image_interp_00.png" border="0" alt="image_interp"/></a>
<a href="examples/pylab_examples/image_interp.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/image_interp_01.png" border="0" alt="image_interp"/></a>
@@ -295,7 +295,7 @@
<a href="examples/pylab_examples/layer_images.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/layer_images.png" border="0" alt="layer_images"/></a>
-<a href="examples/pylab_examples/legend_auto.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/legend_auto.png" border="0" alt="legend_auto"/></a>
+<a href="examples/pylab_examples/legend_auto.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/legend_auto_00.png" border="0" alt="legend_auto"/></a>
<a href="examples/pylab_examples/legend_auto.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/legend_auto_01.png" border="0" alt="legend_auto"/></a>
@@ -349,7 +349,7 @@
<a href="examples/pylab_examples/mathtext_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/mathtext_demo.png" border="0" alt="mathtext_demo"/></a>
-<a href="examples/pylab_examples/matshow.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/matshow.png" border="0" alt="matshow"/></a>
+<a href="examples/pylab_examples/matshow.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/matshow_00.png" border="0" alt="matshow"/></a>
<a href="examples/pylab_examples/matshow.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/matshow_01.png" border="0" alt="matshow"/></a>
@@ -363,13 +363,13 @@
<a href="examples/pylab_examples/multiline.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/multiline.png" border="0" alt="multiline"/></a>
-<a href="examples/pylab_examples/multiple_figs_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/multiple_figs_demo.png" border="0" alt="multiple_figs_demo"/></a>
+<a href="examples/pylab_examples/multiple_figs_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/multiple_figs_demo_00.png" border="0" alt="multiple_figs_demo"/></a>
<a href="examples/pylab_examples/multiple_figs_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/multiple_figs_demo_01.png" border="0" alt="multiple_figs_demo"/></a>
<a href="examples/pylab_examples/nan_test.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/nan_test.png" border="0" alt="nan_test"/></a>
-<a href="examples/pylab_examples/newscalarformatter_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/newscalarformatter_demo.png" border="0" alt="newscalarformatter_demo"/></a>
+<a href="examples/pylab_examples/newscalarformatter_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/newscalarformatter_demo_00.png" border="0" alt="newscalarformatter_demo"/></a>
<a href="examples/pylab_examples/newscalarformatter_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/newscalarformatter_demo_01.png" border="0" alt="newscalarformatter_demo"/></a>
@@ -387,7 +387,7 @@
<a href="examples/pylab_examples/pie_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/pie_demo.png" border="0" alt="pie_demo"/></a>
-<a href="examples/pylab_examples/plotfile_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/plotfile_demo.png" border="0" alt="plotfile_demo"/></a>
+<a href="examples/pylab_examples/plotfile_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/plotfile_demo_00.png" border="0" alt="plotfile_demo"/></a>
<a href="examples/pylab_examples/plotfile_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/plotfile_demo_01.png" border="0" alt="plotfile_demo"/></a>
@@ -413,7 +413,7 @@
<a href="examples/pylab_examples/quadmesh_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quadmesh_demo.png" border="0" alt="quadmesh_demo"/></a>
-<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo.png" border="0" alt="quiver_demo"/></a>
+<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo_00.png" border="0" alt="quiver_demo"/></a>
<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo_01.png" border="0" alt="quiver_demo"/></a>
@@ -455,7 +455,7 @@
<a href="examples/pylab_examples/subplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/subplot_demo.png" border="0" alt="subplot_demo"/></a>
-<a href="examples/pylab_examples/subplot_toolbar.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/subplot_toolbar.png" border="0" alt="subplot_toolbar"/></a>
+<a href="examples/pylab_examples/subplot_toolbar.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/subplot_toolbar_00.png" border="0" alt="subplot_toolbar"/></a>
<a href="examples/pylab_examples/subplot_toolbar.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/subplot_toolbar_01.png" border="0" alt="subplot_toolbar"/></a>
@@ -489,7 +489,7 @@
<a href="examples/pylab_examples/xcorr_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/xcorr_demo.png" border="0" alt="xcorr_demo"/></a>
-<a href="examples/pylab_examples/zorder_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/zorder_demo.png" border="0" alt="zorder_demo"/></a>
+<a href="examples/pylab_examples/zorder_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/zorder_demo_00.png" border="0" alt="zorder_demo"/></a>
<a href="examples/pylab_examples/zorder_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/zorder_demo_01.png" border="0" alt="zorder_demo"/></a>
Modified: trunk/matplotlib/doc/make.py
===================================================================
--- trunk/matplotlib/doc/make.py 2008-10-21 14:52:59 UTC (rev 6287)
+++ trunk/matplotlib/doc/make.py 2008-10-21 15:26:22 UTC (rev 6288)
@@ -17,8 +17,6 @@
def sf():
'push a copy to the sf site'
os.system('cd build/html; rsync -avz . jdh2358,mat...@we...:/home/groups/m/ma/matplotlib/htdocs/ -essh --cvs-exclude')
- # we are now doing this in the doc/examples build
- #os.system('cd ~/mpl/examples; svn-clean; cd ..; rsync -avz examples jdh2358,mat...@we...:/home/groups/m/ma/matplotlib/htdocs/ -essh --cvs-exclude --delete')
def sfpdf():
'push a copy to the sf site'
Modified: trunk/matplotlib/doc/sphinxext/plot_directive.py
===================================================================
--- trunk/matplotlib/doc/sphinxext/plot_directive.py 2008-10-21 14:52:59 UTC (rev 6287)
+++ trunk/matplotlib/doc/sphinxext/plot_directive.py 2008-10-21 15:26:22 UTC (rev 6288)
@@ -127,12 +127,7 @@
while True:
all_exists = True
for format, dpi in formats:
- if i==0:
- outname = basename
- else:
- outname = "%s_%02d" % (basename, i)
-
- outname = os.path.join(outdir, '%s.%s' % (outname, format))
+ outname = os.path.join(outdir, '%s_%02d.%s' % (basename, i, format))
if out_of_date(fullpath, outname):
all_exists = False
break
@@ -163,7 +158,7 @@
fig_managers = _pylab_helpers.Gcf.get_all_fig_managers()
for i, figman in enumerate(fig_managers):
for format, dpi in formats:
- if i==0:
+ if len(fig_managers) == 1:
outname = basename
else:
outname = "%s_%02d" % (basename, i)
@@ -221,7 +216,7 @@
options = "\n".join(options)
for i in range(num_figs):
- if i==0:
+ if num_figs == 1:
outname = basename
else:
outname = "%s_%02d" % (basename, i)
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2008-10-21 14:52:59 UTC (rev 6287)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2008-10-21 15:26:22 UTC (rev 6288)
@@ -1771,7 +1771,7 @@
"""
Get the x-axis range [*xmin*, *xmax*]
"""
- return self.viewLim.intervalx
+ return tuple(self.viewLim.intervalx)
def set_xlim(self, xmin=None, xmax=None, emit=True, **kwargs):
"""
@@ -1944,7 +1944,7 @@
"""
Get the y-axis range [*ymin*, *ymax*]
"""
- return self.viewLim.intervaly
+ return tuple(self.viewLim.intervaly)
def set_ylim(self, ymin=None, ymax=None, emit=True, **kwargs):
"""
This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site.
|
|
From: <jd...@us...> - 2008-10-21 14:53:10
|
Revision: 6287
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6287&view=rev
Author: jdh2358
Date: 2008-10-21 14:52:59 +0000 (Tue, 21 Oct 2008)
Log Message:
-----------
cleaned up output of mathmpl and plot directive; added thumbnail gallery
Modified Paths:
--------------
trunk/matplotlib/doc/_templates/index.html
trunk/matplotlib/doc/_templates/layout.html
trunk/matplotlib/doc/conf.py
trunk/matplotlib/doc/devel/coding_guide.rst
trunk/matplotlib/doc/examples/gen_rst.py
trunk/matplotlib/doc/faq/environment_variables_faq.rst
trunk/matplotlib/doc/faq/installing_faq.rst
trunk/matplotlib/doc/make.py
trunk/matplotlib/doc/sphinxext/mathmpl.py
trunk/matplotlib/doc/sphinxext/plot_directive.py
trunk/matplotlib/doc/users/screenshots.rst
trunk/matplotlib/doc/users/usetex.rst
trunk/matplotlib/examples/pylab_examples/polar_demo.py
trunk/matplotlib/lib/matplotlib/cbook.py
trunk/matplotlib/lib/matplotlib/image.py
Added Paths:
-----------
trunk/matplotlib/doc/_templates/gallery.html
trunk/matplotlib/doc/_templates/gen_gallery.py
Added: trunk/matplotlib/doc/_templates/gallery.html
===================================================================
--- trunk/matplotlib/doc/_templates/gallery.html (rev 0)
+++ trunk/matplotlib/doc/_templates/gallery.html 2008-10-21 14:52:59 UTC (rev 6287)
@@ -0,0 +1,498 @@
+{% extends "layout.html" %}
+{% set title = "Thumbnail gallery" %}
+
+
+{% block body %}
+
+<h3>Click on any image to see full size image and source code</h3>
+<br>
+
+<a href="examples/api/barchart_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/barchart_demo.png" border="0" alt="barchart_demo"/></a>
+
+<a href="examples/api/bbox_intersect.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/bbox_intersect.png" border="0" alt="bbox_intersect"/></a>
+
+<a href="examples/api/collections_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/collections_demo.png" border="0" alt="collections_demo"/></a>
+
+<a href="examples/api/color_cycle.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/color_cycle.png" border="0" alt="color_cycle"/></a>
+
+<a href="examples/api/colorbar_only.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/colorbar_only.png" border="0" alt="colorbar_only"/></a>
+
+<a href="examples/api/custom_projection_example.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/custom_projection_example.png" border="0" alt="custom_projection_example"/></a>
+
+<a href="examples/api/custom_scale_example.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/custom_scale_example.png" border="0" alt="custom_scale_example"/></a>
+
+<a href="examples/api/date_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/date_demo.png" border="0" alt="date_demo"/></a>
+
+<a href="examples/api/date_index_formatter.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/date_index_formatter.png" border="0" alt="date_index_formatter"/></a>
+
+<a href="examples/api/date_index_formatter.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/date_index_formatter_01.png" border="0" alt="date_index_formatter"/></a>
+
+<a href="examples/api/donut_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/donut_demo.png" border="0" alt="donut_demo"/></a>
+
+<a href="examples/api/histogram_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/histogram_demo.png" border="0" alt="histogram_demo"/></a>
+
+<a href="examples/api/image_zcoord.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/image_zcoord.png" border="0" alt="image_zcoord"/></a>
+
+<a href="examples/api/legend_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/legend_demo.png" border="0" alt="legend_demo"/></a>
+
+<a href="examples/api/line_with_text.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/line_with_text.png" border="0" alt="line_with_text"/></a>
+
+<a href="examples/api/logo2.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/logo2.png" border="0" alt="logo2"/></a>
+
+<a href="examples/api/mathtext_asarray.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/mathtext_asarray.png" border="0" alt="mathtext_asarray"/></a>
+
+<a href="examples/api/patch_collection.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/patch_collection.png" border="0" alt="patch_collection"/></a>
+
+<a href="examples/api/path_patch_demo.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/path_patch_demo.png" border="0" alt="path_patch_demo"/></a>
+
+<a href="examples/api/quad_bezier.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/quad_bezier.png" border="0" alt="quad_bezier"/></a>
+
+<a href="examples/api/scatter_piecharts.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/scatter_piecharts.png" border="0" alt="scatter_piecharts"/></a>
+
+<a href="examples/api/two_scales.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/two_scales.png" border="0" alt="two_scales"/></a>
+
+<a href="examples/api/watermark_image.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/watermark_image.png" border="0" alt="watermark_image"/></a>
+
+<a href="examples/api/watermark_text.html"><img src="_static/plot_directive/mpl_examples/api/thumbnails/watermark_text.png" border="0" alt="watermark_text"/></a>
+
+<a href="examples/pylab_examples/accented_text.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/accented_text.png" border="0" alt="accented_text"/></a>
+
+<a href="examples/pylab_examples/agg_buffer_to_array.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/agg_buffer_to_array.png" border="0" alt="agg_buffer_to_array"/></a>
+
+<a href="examples/pylab_examples/agg_buffer_to_array.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/agg_buffer_to_array_01.png" border="0" alt="agg_buffer_to_array"/></a>
+
+<a href="examples/pylab_examples/alignment_test.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/alignment_test.png" border="0" alt="alignment_test"/></a>
+
+<a href="examples/pylab_examples/annotation_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/annotation_demo.png" border="0" alt="annotation_demo"/></a>
+
+<a href="examples/pylab_examples/annotation_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/annotation_demo_01.png" border="0" alt="annotation_demo"/></a>
+
+<a href="examples/pylab_examples/annotation_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/annotation_demo_02.png" border="0" alt="annotation_demo"/></a>
+
+<a href="examples/pylab_examples/anscombe.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/anscombe.png" border="0" alt="anscombe"/></a>
+
+<a href="examples/pylab_examples/arctest.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/arctest.png" border="0" alt="arctest"/></a>
+
+<a href="examples/pylab_examples/arrow_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/arrow_demo.png" border="0" alt="arrow_demo"/></a>
+
+<a href="examples/pylab_examples/axes_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/axes_demo.png" border="0" alt="axes_demo"/></a>
+
+<a href="examples/pylab_examples/axes_props.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/axes_props.png" border="0" alt="axes_props"/></a>
+
+<a href="examples/pylab_examples/axhspan_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/axhspan_demo.png" border="0" alt="axhspan_demo"/></a>
+
+<a href="examples/pylab_examples/axis_equal_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/axis_equal_demo.png" border="0" alt="axis_equal_demo"/></a>
+
+<a href="examples/pylab_examples/bar_stacked.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/bar_stacked.png" border="0" alt="bar_stacked"/></a>
+
+<a href="examples/pylab_examples/barb_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barb_demo.png" border="0" alt="barb_demo"/></a>
+
+<a href="examples/pylab_examples/barchart_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barchart_demo.png" border="0" alt="barchart_demo"/></a>
+
+<a href="examples/pylab_examples/barcode_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barcode_demo.png" border="0" alt="barcode_demo"/></a>
+
+<a href="examples/pylab_examples/barh_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barh_demo.png" border="0" alt="barh_demo"/></a>
+
+<a href="examples/pylab_examples/barh_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/barh_demo_01.png" border="0" alt="barh_demo"/></a>
+
+<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo.png" border="0" alt="boxplot_demo"/></a>
+
+<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo_01.png" border="0" alt="boxplot_demo"/></a>
+
+<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo_02.png" border="0" alt="boxplot_demo"/></a>
+
+<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo_03.png" border="0" alt="boxplot_demo"/></a>
+
+<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo_04.png" border="0" alt="boxplot_demo"/></a>
+
+<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo_05.png" border="0" alt="boxplot_demo"/></a>
+
+<a href="examples/pylab_examples/boxplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/boxplot_demo_06.png" border="0" alt="boxplot_demo"/></a>
+
+<a href="examples/pylab_examples/break.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/break.png" border="0" alt="break"/></a>
+
+<a href="examples/pylab_examples/broken_barh.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/broken_barh.png" border="0" alt="broken_barh"/></a>
+
+<a href="examples/pylab_examples/clippedline.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/clippedline.png" border="0" alt="clippedline"/></a>
+
+<a href="examples/pylab_examples/cohere_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/cohere_demo.png" border="0" alt="cohere_demo"/></a>
+
+<a href="examples/pylab_examples/color_by_yvalue.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/color_by_yvalue.png" border="0" alt="color_by_yvalue"/></a>
+
+<a href="examples/pylab_examples/color_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/color_demo.png" border="0" alt="color_demo"/></a>
+
+<a href="examples/pylab_examples/contour_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_demo.png" border="0" alt="contour_demo"/></a>
+
+<a href="examples/pylab_examples/contour_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_demo_01.png" border="0" alt="contour_demo"/></a>
+
+<a href="examples/pylab_examples/contour_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_demo_02.png" border="0" alt="contour_demo"/></a>
+
+<a href="examples/pylab_examples/contour_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_demo_03.png" border="0" alt="contour_demo"/></a>
+
+<a href="examples/pylab_examples/contour_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_demo_04.png" border="0" alt="contour_demo"/></a>
+
+<a href="examples/pylab_examples/contour_image.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_image.png" border="0" alt="contour_image"/></a>
+
+<a href="examples/pylab_examples/contour_label_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_label_demo.png" border="0" alt="contour_label_demo"/></a>
+
+<a href="examples/pylab_examples/contour_label_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contour_label_demo_01.png" border="0" alt="contour_label_demo"/></a>
+
+<a href="examples/pylab_examples/contourf_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contourf_demo.png" border="0" alt="contourf_demo"/></a>
+
+<a href="examples/pylab_examples/contourf_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contourf_demo_01.png" border="0" alt="contourf_demo"/></a>
+
+<a href="examples/pylab_examples/contourf_log.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/contourf_log.png" border="0" alt="contourf_log"/></a>
+
+<a href="examples/pylab_examples/coords_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/coords_demo.png" border="0" alt="coords_demo"/></a>
+
+<a href="examples/pylab_examples/coords_report.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/coords_report.png" border="0" alt="coords_report"/></a>
+
+<a href="examples/pylab_examples/csd_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/csd_demo.png" border="0" alt="csd_demo"/></a>
+
+<a href="examples/pylab_examples/custom_figure_class.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/custom_figure_class.png" border="0" alt="custom_figure_class"/></a>
+
+<a href="examples/pylab_examples/custom_ticker1.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/custom_ticker1.png" border="0" alt="custom_ticker1"/></a>
+
+<a href="examples/pylab_examples/customize_rc.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/customize_rc.png" border="0" alt="customize_rc"/></a>
+
+<a href="examples/pylab_examples/dannys_example.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/dannys_example.png" border="0" alt="dannys_example"/></a>
+
+<a href="examples/pylab_examples/dash_control.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/dash_control.png" border="0" alt="dash_control"/></a>
+
+<a href="examples/pylab_examples/dashpointlabel.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/dashpointlabel.png" border="0" alt="dashpointlabel"/></a>
+
+<a href="examples/pylab_examples/date_demo1.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/date_demo1.png" border="0" alt="date_demo1"/></a>
+
+<a href="examples/pylab_examples/date_demo2.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/date_demo2.png" border="0" alt="date_demo2"/></a>
+
+<a href="examples/pylab_examples/date_demo_convert.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/date_demo_convert.png" border="0" alt="date_demo_convert"/></a>
+
+<a href="examples/pylab_examples/date_demo_rrule.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/date_demo_rrule.png" border="0" alt="date_demo_rrule"/></a>
+
+<a href="examples/pylab_examples/date_index_formatter.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/date_index_formatter.png" border="0" alt="date_index_formatter"/></a>
+
+<a href="examples/pylab_examples/dolphin.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/dolphin.png" border="0" alt="dolphin"/></a>
+
+<a href="examples/pylab_examples/ellipse_collection.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/ellipse_collection.png" border="0" alt="ellipse_collection"/></a>
+
+<a href="examples/pylab_examples/ellipse_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/ellipse_demo.png" border="0" alt="ellipse_demo"/></a>
+
+<a href="examples/pylab_examples/ellipse_rotated.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/ellipse_rotated.png" border="0" alt="ellipse_rotated"/></a>
+
+<a href="examples/pylab_examples/equal_aspect_ratio.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/equal_aspect_ratio.png" border="0" alt="equal_aspect_ratio"/></a>
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+
+<a href="examples/pylab_examples/quadmesh_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quadmesh_demo.png" border="0" alt="quadmesh_demo"/></a>
+
+<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo.png" border="0" alt="quiver_demo"/></a>
+
+<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo_01.png" border="0" alt="quiver_demo"/></a>
+
+<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo_02.png" border="0" alt="quiver_demo"/></a>
+
+<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo_03.png" border="0" alt="quiver_demo"/></a>
+
+<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo_04.png" border="0" alt="quiver_demo"/></a>
+
+<a href="examples/pylab_examples/quiver_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/quiver_demo_05.png" border="0" alt="quiver_demo"/></a>
+
+<a href="examples/pylab_examples/scatter_custom_symbol.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/scatter_custom_symbol.png" border="0" alt="scatter_custom_symbol"/></a>
+
+<a href="examples/pylab_examples/scatter_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/scatter_demo.png" border="0" alt="scatter_demo"/></a>
+
+<a href="examples/pylab_examples/scatter_demo2.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/scatter_demo2.png" border="0" alt="scatter_demo2"/></a>
+
+<a href="examples/pylab_examples/scatter_masked.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/scatter_masked.png" border="0" alt="scatter_masked"/></a>
+
+<a href="examples/pylab_examples/scatter_star_poly.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/scatter_star_poly.png" border="0" alt="scatter_star_poly"/></a>
+
+<a href="examples/pylab_examples/set_and_get.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/set_and_get.png" border="0" alt="set_and_get"/></a>
+
+<a href="examples/pylab_examples/shared_axis_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/shared_axis_demo.png" border="0" alt="shared_axis_demo"/></a>
+
+<a href="examples/pylab_examples/simple_plot.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/simple_plot.png" border="0" alt="simple_plot"/></a>
+
+<a href="examples/pylab_examples/simplification_clipping_test.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/simplification_clipping_test.png" border="0" alt="simplification_clipping_test"/></a>
+
+<a href="examples/pylab_examples/specgram_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/specgram_demo.png" border="0" alt="specgram_demo"/></a>
+
+<a href="examples/pylab_examples/spy_demos.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/spy_demos.png" border="0" alt="spy_demos"/></a>
+
+<a href="examples/pylab_examples/stem_plot.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/stem_plot.png" border="0" alt="stem_plot"/></a>
+
+<a href="examples/pylab_examples/step_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/step_demo.png" border="0" alt="step_demo"/></a>
+
+<a href="examples/pylab_examples/stix_fonts_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/stix_fonts_demo.png" border="0" alt="stix_fonts_demo"/></a>
+
+<a href="examples/pylab_examples/subplot_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/subplot_demo.png" border="0" alt="subplot_demo"/></a>
+
+<a href="examples/pylab_examples/subplot_toolbar.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/subplot_toolbar.png" border="0" alt="subplot_toolbar"/></a>
+
+<a href="examples/pylab_examples/subplot_toolbar.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/subplot_toolbar_01.png" border="0" alt="subplot_toolbar"/></a>
+
+<a href="examples/pylab_examples/subplots_adjust.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/subplots_adjust.png" border="0" alt="subplots_adjust"/></a>
+
+<a href="examples/pylab_examples/symlog_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/symlog_demo.png" border="0" alt="symlog_demo"/></a>
+
+<a href="examples/pylab_examples/table_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/table_demo.png" border="0" alt="table_demo"/></a>
+
+<a href="examples/pylab_examples/tex_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/tex_demo.png" border="0" alt="tex_demo"/></a>
+
+<a href="examples/pylab_examples/text_handles.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/text_handles.png" border="0" alt="text_handles"/></a>
+
+<a href="examples/pylab_examples/text_rotation.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/text_rotation.png" border="0" alt="text_rotation"/></a>
+
+<a href="examples/pylab_examples/text_themes.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/text_themes.png" border="0" alt="text_themes"/></a>
+
+<a href="examples/pylab_examples/to_numeric.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/to_numeric.png" border="0" alt="to_numeric"/></a>
+
+<a href="examples/pylab_examples/toggle_images.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/toggle_images.png" border="0" alt="toggle_images"/></a>
+
+<a href="examples/pylab_examples/transoffset.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/transoffset.png" border="0" alt="transoffset"/></a>
+
+<a href="examples/pylab_examples/unicode_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/unicode_demo.png" border="0" alt="unicode_demo"/></a>
+
+<a href="examples/pylab_examples/usetex_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/usetex_demo.png" border="0" alt="usetex_demo"/></a>
+
+<a href="examples/pylab_examples/vertical_ticklabels.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/vertical_ticklabels.png" border="0" alt="vertical_ticklabels"/></a>
+
+<a href="examples/pylab_examples/vline_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/vline_demo.png" border="0" alt="vline_demo"/></a>
+
+<a href="examples/pylab_examples/xcorr_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/xcorr_demo.png" border="0" alt="xcorr_demo"/></a>
+
+<a href="examples/pylab_examples/zorder_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/zorder_demo.png" border="0" alt="zorder_demo"/></a>
+
+<a href="examples/pylab_examples/zorder_demo.html"><img src="_static/plot_directive/mpl_examples/pylab_examples/thumbnails/zorder_demo_01.png" border="0" alt="zorder_demo"/></a>
+
+<a href="examples/widgets/slider_demo.html"><img src="_static/plot_directive/mpl_examples/widgets/thumbnails/slider_demo.png" border="0" alt="slider_demo"/></a>
+
+{% endblock %}
Added: trunk/matplotlib/doc/_templates/gen_gallery.py
===================================================================
--- trunk/matplotlib/doc/_templates/gen_gallery.py (rev 0)
+++ trunk/matplotlib/doc/_templates/gen_gallery.py 2008-10-21 14:52:59 UTC (rev 6287)
@@ -0,0 +1,91 @@
+# generate a thumbnail gallery of examples
+template = """\
+{%% extends "layout.html" %%}
+{%% set title = "Thumbnail gallery" %%}
+
+
+{%% block body %%}
+
+<h3>Click on any image to see full size image and source code</h3>
+<br>
+
+%s
+{%% endblock %%}
+"""
+
+import os, glob, re
+
+multiimage = re.compile('(.*)_\d\d')
+
+pwd = os.getcwd()
+os.chdir('..')
+
+rootdir = '_static/plot_directive/mpl_examples'
+
+# images we want to skip for the gallery because they are an unusual
+# size that doesn't layout well in a table, or because they may be
+# redundant with other images or uninteresting
+skips = set([
+ 'mathtext_examples',
+ 'matshow_02',
+ 'matshow_03',
+ 'matplotlib_icon',
+ ])
+data = []
+for subdir in ('api', 'pylab_examples', 'widgets'):
+ thisdir = os.path.join(rootdir,subdir)
+ if not os.path.exists(thisdir):
+ raise RuntimeError('Cannot find %s'%thisdir)
+ thumbdir = os.path.join(thisdir, 'thumbnails')
+ if not os.path.exists(thumbdir):
+ raise RuntimeError('Cannot find thumbnail dir %s'%thumbdir)
+ #print thumbdir
+
+ # we search for pdfs here because there is one pdf for each
+ # successful image build (2 pngs since one is high res) and the
+ # mapping between py files and images is 1->many
+ for pdffile in sorted(glob.glob(os.path.join(thisdir, '*.pdf'))):
+ basepath, filename = os.path.split(pdffile)
+ basename, ext = os.path.splitext(filename)
+ print 'generating', subdir, basename
+
+ if basename in skips:
+ print ' skipping', basename
+ continue
+ pngfile = os.path.join(thisdir, '%s.png'%basename)
+ thumbfile = os.path.join(thumbdir, '%s.png'%basename)
+ if not os.path.exists(pngfile):
+ pngfile = None
+ if not os.path.exists(thumbfile):
+ thumbfile = None
+
+ m = multiimage.match(basename)
+ if m is None:
+ pyfile = '%s.py'%basename
+ else:
+ basename = m.group(1)
+ pyfile = '%s.py'%basename
+
+ print ' ', pyfile, filename, basename, ext
+
+ print ' ', pyfile, pngfile, thumbfile
+ data.append((subdir, thisdir, pyfile, basename, pngfile, thumbfile))
+
+link_template = """\
+<a href="%s"><img src="%s" border="0" alt="%s"/></a>
+"""
+
+
+rows = []
+for (subdir, thisdir, pyfile, basename, pngfile, thumbfile) in data:
+ if thumbfile is not None:
+ link = 'examples/%s/%s.html'%(subdir, basename)
+ rows.append(link_template%(link, thumbfile, basename))
+
+
+
+os.chdir(pwd)
+fh = file('gallery.html', 'w')
+fh.write(template%'\n'.join(rows))
+fh.close()
+
Modified: trunk/matplotlib/doc/_templates/index.html
===================================================================
--- trunk/matplotlib/doc/_templates/index.html 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/_templates/index.html 2008-10-21 14:52:59 UTC (rev 6287)
@@ -15,9 +15,9 @@
<p>matplotlib tries to make easy things easy and hard things possible.
You can generate plots, histograms, power spectra, bar charts,
- errorcharts, scatterplots, etc, with just a few lines of code.
- For a sampling, see the <a href="{{ pathto('users/screenshots') }}">screenshots</a> and
-<a href="examples/index.html">examples</a></p>
+ errorcharts, scatterplots, etc, with just a few lines of code.
+ For a sampling, see the <a href="{{ pathto('users/screenshots') }}">screenshots</a>, <a href="{{ pathto('gallery') }}">thumbnail gallery</a>, and
+<a href="examples/index.html">examples</a> directory</p>
<p align="center"><a href="{{ pathto('users/screenshots') }}"><img align="middle"
src="{{ pathto('_static/logo_sidebar_horiz.png', 1) }}" border="0"
@@ -35,7 +35,7 @@
<p>For the power user, you have full control of line styles, font
properties, axes properties, etc, via an object oriented interface
- or via a handle graphics interface familiar to Matlab® users.
+ or via a handle graphics interface familiar to Matlab® users.
The plotting functions in the <a href="api/pyplot_api.html">pyplot</a>
interface have a high degree of Matlab® compatibility.</p>
Modified: trunk/matplotlib/doc/_templates/layout.html
===================================================================
--- trunk/matplotlib/doc/_templates/layout.html 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/_templates/layout.html 2008-10-21 14:52:59 UTC (rev 6287)
@@ -3,6 +3,7 @@
{% block rootrellink %}
<li><a href="{{ pathto('index') }}">matplotlib home</a>| </li>
<li><a href="{{ pathto('search') }}">search</a>| </li>
+ <li><a href="{{ pathto('gallery') }}">gallery</a>| </li>
<li><a href="{{ pathto('contents') }}">documentation </a> »</li>
{% endblock %}
Modified: trunk/matplotlib/doc/conf.py
===================================================================
--- trunk/matplotlib/doc/conf.py 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/conf.py 2008-10-21 14:52:59 UTC (rev 6287)
@@ -123,7 +123,7 @@
# Additional templates that should be rendered to pages, maps page names to
# template names.
-html_additional_pages = {'index': 'index.html'}
+html_additional_pages = {'index': 'index.html', 'gallery':'gallery.html'}
# If false, no module index is generated.
#html_use_modindex = True
Modified: trunk/matplotlib/doc/devel/coding_guide.rst
===================================================================
--- trunk/matplotlib/doc/devel/coding_guide.rst 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/devel/coding_guide.rst 2008-10-21 14:52:59 UTC (rev 6287)
@@ -352,7 +352,35 @@
"single entry point" requirement above -- see the
``artist.kwdocd['Patch']`` setting in :mod:`matplotlib.patches`.
+.. _custom_backend:
+Developing a new backend
+========================
+
+If you are working on a custom backend, the *backend* setting in
+:file:`matplotlibrc` (:ref:`customizing-matplotlib`) supports an
+external backend via the ``module`` directive. if
+:file:`my_backend.py` is a matplotlib backend in your
+:envvar:`PYTHONPATH`, you can set use it on one of several ways
+
+* in matplotlibrc::
+
+ backend : module://my_backend
+
+* with the use directive is your script::
+
+ import matplotlib
+ matplotlib.use('module://my_backend')
+
+* from the command shell with the -d flag::
+
+ > python simple_plot.py -d module://my_backend
+
+
+
+
+
+
.. _license-discussion:
Licenses
Modified: trunk/matplotlib/doc/examples/gen_rst.py
===================================================================
--- trunk/matplotlib/doc/examples/gen_rst.py 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/examples/gen_rst.py 2008-10-21 14:52:59 UTC (rev 6287)
@@ -3,8 +3,6 @@
"""
import os, glob
-import matplotlib.cbook as cbook
-
import os
import re
import sys
@@ -75,9 +73,11 @@
subdirIndexFile = os.path.join(subdir, 'index.rst')
fhsubdirIndex = file(subdirIndexFile, 'w')
- fhindex.write(' %s\n'%subdirIndexFile)
+ fhindex.write(' %s\n\n'%subdirIndexFile)
+ #thumbdir = '../_static/plot_directive/mpl_examples/%s/thumbnails/'%subdir
+ #for thumbname in glob.glob(os.path.join(thumbdir,'*.png')):
+ # fhindex.write(' %s\n'%thumbname)
-
fhsubdirIndex.write("""\
.. _%s-examples-index:
@@ -101,15 +101,23 @@
data = datad[subdir]
data.sort()
- for fullname, fname, contents in data:
+
+ #parts = os.path.split(static_dir)
+ #thumb_dir = ('../'*(len(parts)-1)) + os.path.join(static_dir, 'thumbnails')
+
+ for fullpath, fname, contents in data:
+ basename, ext = os.path.splitext(fname)
static_file = os.path.join(static_dir, fname)
- basename, ext = os.path.splitext(fname)
+ #thumbfile = os.path.join(thumb_dir, '%s.png'%basename)
+ #print ' static_dir=%s, basename=%s, fullpath=%s, fname=%s, thumb_dir=%s, thumbfile=%s'%(static_dir, basename, fullpath, fname, thumb_dir, thumbfile)
+
rstfile = '%s.rst'%basename
outfile = os.path.join(subdir, rstfile)
+
fhsubdirIndex.write(' %s\n'%rstfile)
- if (not out_of_date(fullname, static_file) and
- not out_of_date(fullname, outfile)):
+ if (not out_of_date(fullpath, static_file) and
+ not out_of_date(fullpath, outfile)):
continue
print ' %s'%fname
@@ -121,7 +129,9 @@
fh = file(outfile, 'w')
fh.write('.. _%s-%s:\n\n'%(subdir, basename))
title = '%s example code: %s'%(subdir, fname)
+ #title = '<img src=%s> %s example code: %s'%(thumbfile, subdir, fname)
+
fh.write(title + '\n')
fh.write('='*len(title) + '\n\n')
@@ -131,7 +141,7 @@
not noplot_regex.search(contents))
if do_plot:
- fh.write("\n\n.. plot:: %s\n\n::\n\n" % fullname[3:])
+ fh.write("\n\n.. plot:: %s\n\n::\n\n" % fullpath[3:])
else:
linkname = os.path.join('..', '..', '_static', 'examples', subdir, fname)
fh.write("[`source code <%s>`_]\n\n::\n\n" % linkname)
Modified: trunk/matplotlib/doc/faq/environment_variables_faq.rst
===================================================================
--- trunk/matplotlib/doc/faq/environment_variables_faq.rst 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/faq/environment_variables_faq.rst 2008-10-21 14:52:59 UTC (rev 6287)
@@ -1,4 +1,4 @@
-.. _environment-variables:
+.. _environment-variablesg:
*********************
Environment Variables
Modified: trunk/matplotlib/doc/faq/installing_faq.rst
===================================================================
--- trunk/matplotlib/doc/faq/installing_faq.rst 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/faq/installing_faq.rst 2008-10-21 14:52:59 UTC (rev 6287)
@@ -98,7 +98,7 @@
Checking out the main source::
- svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk matplotlib
+ svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib matplotlib
and build and install as usual with::
Modified: trunk/matplotlib/doc/make.py
===================================================================
--- trunk/matplotlib/doc/make.py 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/make.py 2008-10-21 14:52:59 UTC (rev 6287)
@@ -17,7 +17,7 @@
def sf():
'push a copy to the sf site'
os.system('cd build/html; rsync -avz . jdh2358,mat...@we...:/home/groups/m/ma/matplotlib/htdocs/ -essh --cvs-exclude')
- # we are now doing this in the doc/examples build
+ # we are now doing this in the doc/examples build
#os.system('cd ~/mpl/examples; svn-clean; cd ..; rsync -avz examples jdh2358,mat...@we...:/home/groups/m/ma/matplotlib/htdocs/ -essh --cvs-exclude --delete')
def sfpdf():
@@ -29,8 +29,15 @@
def examples():
'make the rest examples'
+
os.system('cd examples; svn-clean; python gen_rst.py')
+ #pass
+def gallery():
+ 'make the thumbnail gallery'
+ os.system('cd _templates; python gen_gallery.py')
+
+
def html():
check_build()
if not os.path.exists('examples/index.rst'):
@@ -44,6 +51,10 @@
shutil.rmtree(figures_dest_path)
shutil.copytree('pyplots', figures_dest_path)
+ # rebuild the gallery
+ gallery()
+ print 'Just rebuilt gallery, you may need to make html again'
+
def latex():
check_build()
#figs()
@@ -77,15 +88,17 @@
latex()
-funcd = {'figs':figs,
- 'html':html,
- 'latex':latex,
- 'clean':clean,
- 'sf':sf,
- 'sfpdf':sfpdf,
- 'examples':examples,
- 'all':all,
- }
+funcd = {
+ 'figs' : figs,
+ 'html' : html,
+ 'latex' : latex,
+ 'clean' : clean,
+ 'sf' : sf,
+ 'sfpdf' : sfpdf,
+ 'examples' : examples,
+ 'gallery' : gallery,
+ 'all' : all,
+ }
if len(sys.argv)>1:
Modified: trunk/matplotlib/doc/sphinxext/mathmpl.py
===================================================================
--- trunk/matplotlib/doc/sphinxext/mathmpl.py 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/sphinxext/mathmpl.py 2008-10-21 14:52:59 UTC (rev 6287)
@@ -114,10 +114,14 @@
inline = isinstance(node.parent, nodes.TextElement)
latex = node['latex']
name = 'math-%s' % md5(latex).hexdigest()[-10:]
- dest = '_static/%s.png' % name
+
+ destdir = os.path.join('_static', 'mathmpl')
+ if not os.path.exists(destdir):
+ os.makedirs(destdir)
+ dest = os.path.join(destdir, '%s.png' % name)
depth = latex2png(latex, dest, node['fontset'])
- path = '_static'
+ path = destdir
count = source.split('/doc/')[-1].count('/')
for i in range(count):
if os.path.exists(path): break
Modified: trunk/matplotlib/doc/sphinxext/plot_directive.py
===================================================================
--- trunk/matplotlib/doc/sphinxext/plot_directive.py 2008-10-21 14:36:53 UTC (rev 6286)
+++ trunk/matplotlib/doc/sphinxext/plot_directive.py 2008-10-21 14:52:59 UTC (rev 6287)
@@ -27,6 +27,7 @@
import matplotlib.cbook as cbook
matplotlib.use('Agg')
import matplotlib.pyplot as plt
+import matplotlib.image as image
from matplotlib import _pylab_helpers
def runfile(fullpath):
@@ -58,15 +59,15 @@
template = """
.. htmlonly::
- [`source code <%(destdir)s/%(basename)s.py>`__,
- `png <%(destdir)s/%(outname)s.hires.png>`__,
- `pdf <%(destdir)s/%(outname)s.pdf>`__]
+ [`source code <%(linkdir)s/%(basename)s.py>`__,
+ `png <%(linkdir)s/%(outname)s.hires.png>`__,
+ `pdf <%(linkdir)s/%(outname)s.pdf>`__]
- .. image:: %(destdir)s/%(outname)s.png
+ .. image:: %(linkdir)s/%(outname)s.png
%(options)s
.. latexonly::
- .. image:: %(destdir)s/%(outname)s.pdf
+ .. image:: %(linkdir)s/%(outname)s.pdf
%(options)s
"""
@@ -74,7 +75,7 @@
exception_template = """
.. htmlonly::
- [`source code <%(destdir)s/%(basename)s.py>`__]
+ [`source code <%(linkdir)s/%(basename)s.py>`__]
Exception occurred rendering plot.
@@ -95,7 +96,9 @@
"""
fullpath = str(fullpath) # todo, why is unicode breaking this
- formats = [('png',...
[truncated message content] |
|
From: <jd...@us...> - 2008-10-21 14:37:02
|
Revision: 6286
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6286&view=rev
Author: jdh2358
Date: 2008-10-21 14:36:53 +0000 (Tue, 21 Oct 2008)
Log Message:
-----------
fixed rcsetup to respect external module backends
Modified Paths:
--------------
trunk/matplotlib/examples/misc/image_thumbnail.py
trunk/matplotlib/lib/matplotlib/image.py
trunk/matplotlib/lib/matplotlib/rcsetup.py
Modified: trunk/matplotlib/examples/misc/image_thumbnail.py
===================================================================
--- trunk/matplotlib/examples/misc/image_thumbnail.py 2008-10-20 20:54:24 UTC (rev 6285)
+++ trunk/matplotlib/examples/misc/image_thumbnail.py 2008-10-21 14:36:53 UTC (rev 6286)
@@ -13,7 +13,7 @@
print 'Usage: python %s IMAGEDIR'%__file__
raise SystemExit
indir = sys.argv[1]
-if not os.path.exists(indir):
+if not os.path.isdir(indir):
print 'Could not find input directory "%s"'%indir
raise SystemExit
Modified: trunk/matplotlib/lib/matplotlib/image.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/image.py 2008-10-20 20:54:24 UTC (rev 6285)
+++ trunk/matplotlib/lib/matplotlib/image.py 2008-10-21 14:36:53 UTC (rev 6286)
@@ -846,22 +846,17 @@
else:
if extension=='png':
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
- from matplotlib.figure import Figure
elif extension=='pdf':
from matplotlib.backends.backend_pdf import FigureCanvasPDF as FigureCanvas
- from matplotlib.figure import Figure
elif extension=='svg':
from matplotlib.backends.backend_svg import FigureCanvasSVG as FigureCanvas
- from matplotlib.figure import Figure
else:
raise ValueError("Can only handle extension 'png', 'svg' or 'pdf'")
+ from matplotlib.figure import Figure
fig = Figure(figsize=(width, height), dpi=dpi)
canvas = FigureCanvas(fig)
-
-
-
ax = fig.add_axes([0,0,1,1], aspect='auto', frameon=False, xticks=[], yticks=[])
basename, ext = os.path.splitext(basename)
Modified: trunk/matplotlib/lib/matplotlib/rcsetup.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/rcsetup.py 2008-10-20 20:54:24 UTC (rev 6285)
+++ trunk/matplotlib/lib/matplotlib/rcsetup.py 2008-10-21 14:36:53 UTC (rev 6286)
@@ -100,7 +100,11 @@
raise ValueError('Supported Postscript/PDF font types are %s' % fonttypes.values())
return fonttype
-validate_backend = ValidateInStrings('backend', all_backends, ignorecase=True)
+#validate_backend = ValidateInStrings('backend', all_backends, ignorecase=True)
+_validate_standard_backends = ValidateInStrings('backend', all_backends, ignorecase=True)
+def validate_backend(s):
+ if s.startswith('module://'): return s
+ else: return _validate_standard_backends(s)
validate_numerix = ValidateInStrings('numerix',[
'Numeric','numarray','numpy',
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