Revision: 5815
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5815&view=rev
Author: jswhit
Date: 2008-07-23 01:15:22 +0000 (Wed, 23 Jul 2008)
Log Message:
-----------
implement some of JDH's suggestions for griddata.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/delaunay/__init__.py
trunk/matplotlib/lib/matplotlib/mlab.py
Modified: trunk/matplotlib/lib/matplotlib/delaunay/__init__.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/delaunay/__init__.py 2008-07-23
00:24:55 UTC (rev 5814)
+++ trunk/matplotlib/lib/matplotlib/delaunay/__init__.py 2008-07-23
01:15:22 UTC (rev 5815)
@@ -8,3 +8,4 @@
from matplotlib._delaunay import delaunay
from triangulate import *
from interpolate import *
+__version__ = "0.1"
Modified: trunk/matplotlib/lib/matplotlib/mlab.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/mlab.py 2008-07-23 00:24:55 UTC (rev
5814)
+++ trunk/matplotlib/lib/matplotlib/mlab.py 2008-07-23 01:15:22 UTC (rev
5815)
@@ -89,6 +89,7 @@
import numpy as np
+from matplotlib import verbose
import matplotlib.nxutils as nxutils
import matplotlib.cbook as cbook
@@ -2715,13 +2716,23 @@
that is not redistributable under a BSD-compatible license. When
installed,
this function will use the mpl_toolkits.natgrid algorithm, otherwise it
will use the built-in matplotlib.delaunay package.
+
+ The natgrid matplotlib toolkit can be checked out through SVN with the
+ following command:
+
+ svn co
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/toolkits/natgrid
natgrid
"""
try:
- from mpl_toolkits.natgrid import _natgrid
+ from mpl_toolkits.natgrid import _natgrid, __version__
_use_natgrid = True
except ImportError:
import matplotlib.delaunay as delaunay
+ from matplotlib.delaunay import __version__
_use_natgrid = False
+ if _use_natgrid:
+ verbose.report('using natgrid version %s' % __version__)
+ else:
+ verbose.report('using delaunay version %s' % __version__)
if xi.ndim != yi.ndim:
raise TypeError("inputs xi and yi must have same number of dimensions
(1 or 2)")
if xi.ndim != 1 and xi.ndim != 2:
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