SF.net SVN: matplotlib: [5244] trunk/matplotlib/lib/matplotlib

[<ds...@us...>]

Revision: 5244
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5244&view=rev
Author:   dsdale
Date:     2008-05-23 13:25:00 -0700 (Fri, 23 May 2008)

Log Message:
-----------
minor changes to rest docstrings for lines.py and artist.py

Modified Paths:
--------------
    trunk/matplotlib/lib/matplotlib/artist.py
    trunk/matplotlib/lib/matplotlib/lines.py

Modified: trunk/matplotlib/lib/matplotlib/artist.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/artist.py	2008-05-23 20:10:18 UTC (rev 5243)
+++ trunk/matplotlib/lib/matplotlib/artist.py	2008-05-23 20:25:00 UTC (rev 5244)
@@ -514,9 +514,12 @@
     def get_aliases(self):
         """
         get a dict mapping fullname -> alias for each alias in o.
-        Eg for lines: {'markerfacecolor': 'mfc',
-                       'linewidth'      : 'lw',
-                       }
+        Eg for lines::
+
+          {'markerfacecolor': 'mfc',
+           'linewidth'      : 'lw',
+          }
+
         """
         names = [name for name in dir(self.o) if
                  (name.startswith('set_') or name.startswith('get_'))

Modified: trunk/matplotlib/lib/matplotlib/lines.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/lines.py	2008-05-23 20:10:18 UTC (rev 5243)
+++ trunk/matplotlib/lib/matplotlib/lines.py	2008-05-23 20:25:00 UTC (rev 5244)
@@ -40,18 +40,18 @@
     y = ma.array(np.arange(5), mask = [0,0,1,0,0])
     #ii = unmasked_index_ranges(y.mask())
     ii = unmasked_index_ranges(ma.getmask(y))
-        # returns [[0,2,] [2,4,]]
+    # returns [[0,2,] [2,4,]]
 
     y.compressed().filled()[ii[1,0]:ii[1,1]]
-        # returns np.array [3,4,]
-        # (The 'filled()' method converts the masked np.array to a numerix np.array.)
+    # returns np.array [3,4,]
+    # (The 'filled()' method converts the masked np.array to a numerix np.array.)
 
     #i0, i1 = unmasked_index_ranges(y.mask(), compressed=False)
     i0, i1 = unmasked_index_ranges(ma.getmask(y), compressed=False)
-        # returns [[0,3,] [2,5,]]
+    # returns [[0,3,] [2,5,]]
 
     y.filled()[ii[1,0]:ii[1,1]]
-        # returns np.array [3,4,]
+    # returns np.array [3,4,]
 
     '''
     m = np.concatenate(((1,), mask, (1,)))


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