Revision: 5246
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5246&view=rev
Author:   dsdale
Date:     2008-05-23 14:53:01 -0700 (Fri, 23 May 2008)

Log Message:
-----------
updating docstrings

Modified Paths:
--------------
    trunk/matplotlib/lib/matplotlib/axes.py
    trunk/matplotlib/lib/matplotlib/text.py

Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py     2008-05-23 20:32:56 UTC (rev 
5245)
+++ trunk/matplotlib/lib/matplotlib/axes.py     2008-05-23 21:53:01 UTC (rev 
5246)
@@ -2399,13 +2399,15 @@
 
     def annotate(self, *args, **kwargs):
         """
-        annotate(s, xy,
-                 xytext=None,
-                 xycoords='data',
-                 textcoords='data',
-                 arrowprops=None,
-                 **props)
+        call signature::
 
+          annotate(s, xy,
+                   xytext=None,
+                   xycoords='data',
+                   textcoords='data',
+                   arrowprops=None,
+                   **props)
+
         %(Annotation)s
         """
         a = mtext.Annotation(*args, **kwargs)
@@ -2996,13 +2998,16 @@
 
     def acorr(self, x, **kwargs):
         """
-        ACORR(x, normed=False, detrend=mlab.detrend_none, usevlines=False,
-              maxlags=None, **kwargs)
+        call signature::
+
+          acorr(x, normed=False, detrend=mlab.detrend_none, usevlines=False,
+                maxlags=None, **kwargs)
+
         Plot the autocorrelation of x.  If normed=True, normalize the
         data but the autocorrelation at 0-th lag.  x is detrended by
         the detrend callable (default no normalization.
 
-        data are plotted as plot(lags, c, **kwargs)
+        data are plotted as ``plot(lags, c, **kwargs)``
 
         return value is lags, c, line where lags are a length
         2*maxlags+1 lag vector, c is the 2*maxlags+1 auto correlation
@@ -3032,17 +3037,17 @@
     def xcorr(self, x, y, normed=False, detrend=mlab.detrend_none, 
usevlines=False,
               maxlags=None, **kwargs):
         """
-        XCORR(x, y, normed=False, detrend=mlab.detrend_none, usevlines=False, 
**kwargs):
+        XCORR(x, y, normed=False, detrend=mlab.detrend_none, usevlines=False, 
\*\*kwargs):
 
         Plot the cross correlation between x and y.  If normed=True,
         normalize the data but the cross correlation at 0-th lag.  x
         and y are detrended by the detrend callable (default no
         normalization.  x and y must be equal length
 
-        data are plotted as plot(lags, c, **kwargs)
+        data are plotted as ``plot(lags, c, **kwargs)``
 
         return value is lags, c, line where lags are a length
-        2*maxlags+1 lag vector, c is the 2*maxlags+1 auto correlation
+        ``2*maxlags+1`` lag vector, c is the ``2*maxlags+1`` auto correlation
         vector, and line is a Line2D instance returned by plot.  The
         default linestyle is None and the default marker is 'o',
         though these can be overridden with keyword args.  The cross
@@ -3059,7 +3064,7 @@
         if usevlines=False, kwargs are passed onto Axes.plot
 
         maxlags is a positive integer detailing the number of lags to show.
-        The default value of None will return all (2*len(x)-1) lags.
+        The default value of None will return all ``(2*len(x)-1)`` lags.
 
         See the respective function for documentation on valid kwargs
         """

Modified: trunk/matplotlib/lib/matplotlib/text.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/text.py     2008-05-23 20:32:56 UTC (rev 
5245)
+++ trunk/matplotlib/lib/matplotlib/text.py     2008-05-23 21:53:01 UTC (rev 
5246)
@@ -990,36 +990,47 @@
         (see matplotlib.lines.Line2D) for the arrow that connects
         annotation to the point.   Valid keys are
 
-          - width : the width of the arrow in points
-          - frac  : the fraction of the arrow length occupied by the head
-          - headwidth : the width of the base of the arrow head in points
-          - shrink: often times it is convenient to have the arrowtip
-            and base a bit away from the text and point being
-            annotated.  If d is the distance between the text and
-            annotated point, shrink will shorten the arrow so the tip
-            and base are shink percent of the distance d away from the
-            endpoints.  ie, shrink=0.05 is 5%%
-          - any key for matplotlib.patches.polygon
+        =========   ===========================================================
+           Key                            Description
+        =========   ===========================================================
+        width       the width of the arrow in points
+        frac        the fraction of the arrow length occupied by the head
+        headwidth   the width of the base of the arrow head in points
+        shrink      often times it is convenient to have the arrowtip
+                    and base a bit away from the text and point being
+                    annotated.  If d is the distance between the text and
+                    annotated point, shrink will shorten the arrow so the tip
+                    and base are shink percent of the distance d away from the
+                    endpoints.  ie, shrink=0.05 is 5%%
+        ?           any key for matplotlib.patches.polygon
+        =========   ===========================================================
 
         xycoords and textcoords are strings that indicate the
         coordinates of xy and xytext.
 
-           'figure points'   : points from the lower left corner of the figure
-           'figure pixels'   : pixels from the lower left corner of the figure 
                          'figure fraction' : 0,0 is lower left of figure and 
1,1 is upper, right
-           'axes points'     : points from lower left corner of axes
-           'axes pixels'     : pixels from lower left corner of axes
-           'axes fraction'   : 0,1 is lower left of axes and 1,1 is upper right
-           'data'            : use the coordinate system of the object being 
annotated (default)
-           'offset points'     : Specify an offset (in points) from the xy 
value
-           'polar'           : you can specify theta, r for the annotation, 
even
-                               in cartesian plots.  Note that if you
-                               are using a polar axes, you do not need
-                               to specify polar for the coordinate
-                               system since that is the native"data" 
coordinate system.
+        =================   ===================================================
+             Property                           Description
+        =================   ===================================================
+        'figure points'     points from the lower left corner of the figure
+        'figure pixels'     pixels from the lower left corner of the figure
+        'figure fraction'   0,0 is lower left of figure and 1,1 is upper, right
+        'axes points'       points from lower left corner of axes
+        'axes pixels'       pixels from lower left corner of axes
+        'axes fraction'     0,1 is lower left of axes and 1,1 is upper right
+        'data'              use the coordinate system of the object being
+                            annotated (default)
+        'offset points'     Specify an offset (in points) from the xy value
+        'polar'             you can specify theta, r for the annotation, even
+                            in cartesian plots.  Note that if you
+                            are using a polar axes, you do not need
+                            to specify polar for the coordinate
+                            system since that is the native"data" coordinate
+                            system.
+        =================   ===================================================
 
         If a points or pixels option is specified, values will be
         added to the left, bottom and if negative, values will be
-        subtracted from the top, right.  Eg,
+        subtracted from the top, right.  Eg::
 
           # 10 points to the right of the left border of the axes and
           # 5 points below the top border


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