SF.net SVN: matplotlib:[8342] trunk/toolkits/basemap/lib/mpl_toolkits/ basemap/__init__.py

[<js...@us...>]

Revision: 8342
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8342&view=rev
Author:   jswhit
Date:     2010-05-28 18:53:48 +0000 (Fri, 28 May 2010)

Log Message:
-----------
fix typo

Modified Paths:
--------------
    trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py

Modified: trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py
===================================================================
--- trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py	2010-05-28 17:42:05 UTC (rev 8341)
+++ trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py	2010-05-28 18:53:48 UTC (rev 8342)
@@ -2759,7 +2759,7 @@
                     import matplotlib.tri as tri
                 except:
                     msg='need basemap > 0.99.1 to plot on unstructured grids'
-                    Raise ImportError(msg)
+                    raise ImportError(msg)
                 # for unstructured grids, toss out points outside
                 # projection limb (don't use those points in triangulation).
                 if hasattr(data,'mask'):
@@ -2849,7 +2849,7 @@
                     import matplotlib.tri as tri
                 except:
                     msg='need basemap > 0.99.1 to plot on unstructured grids'
-                    Raise ImportError(msg)
+                    raise ImportError(msg)
                 # for unstructured grids, toss out points outside
                 # projection limb (don't use those points in triangulation).
                 if hasattr(data,'mask'):
@@ -2934,7 +2934,7 @@
                     import matplotlib.tri as tri
                 except:
                     msg='need basemap > 0.99.1 to plot on unstructured grids'
-                    Raise ImportError(msg)
+                    raise ImportError(msg)
                 # for unstructured grids, toss out points outside
                 # projection limb (don't use those points in triangulation).
                 if hasattr(data,'mask'):


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