Revision: 7936
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7936&view=rev
Author: jdh2358
Date: 2009-11-04 17:30:12 +0000 (Wed, 04 Nov 2009)
Log Message:
-----------
added levels kwarg to contour
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/contour.py
trunk/matplotlib/lib/matplotlib/mlab.py
trunk/matplotlib/lib/matplotlib/widgets.py
Modified: trunk/matplotlib/lib/matplotlib/contour.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/contour.py 2009-11-04 16:26:37 UTC (rev
7935)
+++ trunk/matplotlib/lib/matplotlib/contour.py 2009-11-04 17:30:12 UTC (rev
7936)
@@ -1066,6 +1066,11 @@
scaling data values to colors. If *norm* is *None* and
*colors* is *None*, the default linear scaling is used.
+ *levels* [level0, level1, ..., leveln]
+ A list of floating point numbers indicating the level
+ curves to draw; eg to draw just the zero contour pass
+ ``levels=[0]``
+
*origin*: [ None | 'upper' | 'lower' | 'image' ]
If *None*, the first value of *Z* will correspond to the
lower left corner, location (0,0). If 'image', the rc
Modified: trunk/matplotlib/lib/matplotlib/mlab.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/mlab.py 2009-11-04 16:26:37 UTC (rev
7935)
+++ trunk/matplotlib/lib/matplotlib/mlab.py 2009-11-04 17:30:12 UTC (rev
7936)
@@ -2576,6 +2576,10 @@
*withheader*: if withheader is False, do not write the attribute
names in the first row
+ for formatd type FormatFloat, we override the precision to store
+ full precision floats in the CSV file
+
+
.. seealso::
:func:`csv2rec`
Modified: trunk/matplotlib/lib/matplotlib/widgets.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/widgets.py 2009-11-04 16:26:37 UTC (rev
7935)
+++ trunk/matplotlib/lib/matplotlib/widgets.py 2009-11-04 17:30:12 UTC (rev
7936)
@@ -669,6 +669,8 @@
self.vertOn = True
self.useblit = useblit
+ if useblit:
+ lineprops['animated'] = True
self.lineh = ax.axhline(ax.get_ybound()[0], visible=False, **lineprops)
self.linev = ax.axvline(ax.get_xbound()[0], visible=False, **lineprops)
@@ -741,10 +743,14 @@
"""
def __init__(self, canvas, axes, useblit=True, **lineprops):
+
self.canvas = canvas
self.axes = axes
xmin, xmax = axes[-1].get_xlim()
xmid = 0.5*(xmin+xmax)
+ if useblit:
+ lineprops['animated'] = True
+
self.lines = [ax.axvline(xmid, visible=False, **lineprops) for ax in
axes]
self.visible = True
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
------------------------------------------------------------------------------
Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
trial. Simplify your report design, integration and deployment - and focus on
what you do best, core application coding. Discover what's new with
Crystal Reports now. http://p.sf.net/sfu/bobj-july
_______________________________________________
Matplotlib-checkins mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins
