SF.net SVN: matplotlib: [5054] trunk/matplotlib

[<ef...@us...>]

Revision: 5054
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5054&view=rev
Author:   efiring
Date:     2008-04-21 01:00:03 -0700 (Mon, 21 Apr 2008)

Log Message:
-----------
Support 0-centered axis in MaxNLocator

Modified Paths:
--------------
    trunk/matplotlib/API_CHANGES
    trunk/matplotlib/CHANGELOG
    trunk/matplotlib/lib/matplotlib/ticker.py

Modified: trunk/matplotlib/API_CHANGES
===================================================================
--- trunk/matplotlib/API_CHANGES	2008-04-20 10:45:32 UTC (rev 5053)
+++ trunk/matplotlib/API_CHANGES	2008-04-21 08:00:03 UTC (rev 5054)
@@ -1,5 +1,8 @@
+    New kwarg, "symmetric", in MaxNLocator
+    allows one require an axis to be centered on zero.
+
     toolkits must now be imported from mpl_toolkits (not matplotlib.toolkits)
-    
+
 TRANSFORMS REFACTORING
 
     The primary goal of this refactoring was to make it easier to

Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG	2008-04-20 10:45:32 UTC (rev 5053)
+++ trunk/matplotlib/CHANGELOG	2008-04-21 08:00:03 UTC (rev 5054)
@@ -1,3 +1,5 @@
+2008-04-20 Add support to MaxNLocator for symmetric axis autoscaling. - EF
+
 2008-04-20 Fix double-zoom bug. - MM
 
 2008-04-15 Speed up color mapping. - EF

Modified: trunk/matplotlib/lib/matplotlib/ticker.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/ticker.py	2008-04-20 10:45:32 UTC (rev 5053)
+++ trunk/matplotlib/lib/matplotlib/ticker.py	2008-04-21 08:00:03 UTC (rev 5054)
@@ -845,10 +845,14 @@
     Select no more than N intervals at nice locations.
     """
 
-    def __init__(self, nbins = 10, steps = None, trim = True, integer=False):
+    def __init__(self, nbins = 10, steps = None,
+                                trim = True,
+                                integer=False,
+                                symmetric=False):
         self._nbins = int(nbins)
         self._trim = trim
         self._integer = integer
+        self._symmetric = symmetric
         if steps is None:
             self._steps = [1, 1.5, 2, 2.5, 3, 4, 5, 6, 8, 10]
         else:
@@ -890,6 +894,10 @@
 
     def autoscale(self):
         dmin, dmax = self.axis.get_data_interval()
+        if self._symmetric:
+            maxabs = max(abs(dmin), abs(dmax))
+            dmin = -maxabs
+            dmax = maxabs
         dmin, dmax = mtransforms.nonsingular(dmin, dmax, expander = 0.05)
         return npy.take(self.bin_boundaries(dmin, dmax), [0,-1])
 


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