Added elinewidth keyword arg to errorbar bases on patch by Christopher Brown

mmetz-bn · mmetz-bn · commit cb379e7bd5f9 · 2008-05-16T17:47:51.000Z
svn path=/trunk/matplotlib/; revision=5149
diff --git a/CHANGELOG b/CHANGELOG
@@ -1,6 +1,8 @@
+2008-05-16 Added 'elinewidth' keyword arg to errorbar, based on patch
+           by Christopher Brown - MM
+
 2008-05-16 Added 'cumulative' keyword arg to hist to plot cumulative
-           histograms. For normed hists, this is normalized to one
-           assuming equally spaced bins - MM
+           histograms. For normed hists, this is normalized to one - MM
 
 2008-05-15 Fix Tk backend segfault on some machines - MGD
 
diff --git a/lib/matplotlib/axes.py b/lib/matplotlib/axes.py
@@ -3752,13 +3752,13 @@ def pie(self, x, explode=None, labels=None,
 
 
     def errorbar(self, x, y, yerr=None, xerr=None,
-                 fmt='-', ecolor=None, capsize=3,
+                 fmt='-', ecolor=None, elinewidth=None, capsize=3,
                  barsabove=False, lolims=False, uplims=False,
                  xlolims=False, xuplims=False, **kwargs):
         """
         ERRORBAR(x, y, yerr=None, xerr=None,
-                 fmt='b-', ecolor=None, capsize=3, barsabove=False,
-                 lolims=False, uplims=False,
+                 fmt='b-', ecolor=None, elinewidth=None, capsize=3, 
+                 barsabove=False, lolims=False, uplims=False,
                  xlolims=False, xuplims=False)
 
         Plot x versus y with error deltas in yerr and xerr.
@@ -3783,6 +3783,9 @@ def errorbar(self, x, y, yerr=None, xerr=None,
             ecolor is a matplotlib color arg which gives the color the
             errorbar lines; if None, use the marker color.
 
+            elinewidth is the linewidth of the errorbar lines;
+            if None, use the linewidth.
+
             capsize is the size of the error bar caps in points
 
             barsabove, if True, will plot the errorbars above the plot symbols
@@ -3842,10 +3845,13 @@ def errorbar(self, x, y, yerr=None, xerr=None,
         caplines = []
 
         lines_kw = {'label':'_nolegend_'}
-        if 'linewidth' in kwargs:
-            lines_kw['linewidth']=kwargs['linewidth']
-        if 'lw' in kwargs:
-            lines_kw['lw']=kwargs['lw']
+        if elinewidth:
+            lines_kw['linewidth'] = elinewidth
+        else:
+            if 'linewidth' in kwargs:
+                lines_kw['linewidth']=kwargs['linewidth']
+            if 'lw' in kwargs:
+                lines_kw['lw']=kwargs['lw']
         if 'transform' in kwargs:
             lines_kw['transform'] = kwargs['transform']
 
@@ -5432,8 +5438,7 @@ def hist(self, x, bins=10, normed=False, cumulative=False,
         If normed is true, the first element of the return tuple will
         be the counts normalized to form a probability density, ie,
         n/(len(x)*dbin).  In a probability density, the integral of
-        the histogram should be one (we assume equally spaced bins);
-        you can verify that with
+        the histogram should be one; you can verify that with
 
           # trapezoidal integration of the probability density function
           pdf, bins, patches = ax.hist(...)
