Hi List,
I find the attached patch useful. It adds an argument (elinewidth) to
the errorbar function which is a linewidth analog to the ecolor
argument. It allows you to specify a linewidth for the errorbars, so
that it can be different from the plot linewidth. This is useful to me
because I prefer heavy (lw=2) plot lines, and I also like to
de-emphasize the errorbars (elinewidth=1).
Maybe someone else finds this useful? It is probably not the proper way
to do it, but would it be possible to add something like this to mpl?
--
Chris
Index: axes.py
===================================================================
--- axes.py (revision 5109)
+++ axes.py (working copy)
@@ -3742,7 +3742,7 @@
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):
"""
@@ -3773,6 +3773,9 @@
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
@@ -3833,9 +3836,15 @@
lines_kw = {'label':'_nolegend_'}
if 'linewidth' in kwargs:
- lines_kw['linewidth']=kwargs['linewidth']
+ if elinewidth is not None:
+ lines_kw['linewidth']=elinewidth
+ else:
+ lines_kw['linewidth']=kwargs['linewidth']
if 'lw' in kwargs:
- lines_kw['lw']=kwargs['lw']
+ if elinewidth is not None:
+ lines_kw['linewidth']=elinewidth
+ else:
+ lines_kw['lw']=kwargs['lw']
if 'transform' in kwargs:
lines_kw['transform'] = kwargs['transform']
@@ -3893,22 +3902,22 @@
# y are lists
leftlo, ylo = xywhere(left, y, xlolims)
- caplines.extend( self.plot(leftlo, ylo, ls='None',
marker=mlines.CARETLEFT, **plot_kw) )
+ caplines.extend( self.plot(leftlo, ylo, ls='None',
marker=mlines.CARETLEFT, **lines_kw) )
xlolims = ~xlolims
leftlo, ylo = xywhere(left, y, xlolims)
- caplines.extend( self.plot(leftlo, ylo, 'k|', **plot_kw) )
+ caplines.extend( self.plot(leftlo, ylo, 'k|', **lines_kw) )
else:
- caplines.extend( self.plot(left, y, 'k|', **plot_kw) )
+ caplines.extend( self.plot(left, y, 'k|', **lines_kw) )
if xuplims.any():
rightup, yup = xywhere(right, y, xuplims)
- caplines.extend( self.plot(rightup, yup, ls='None',
marker=mlines.CARETRIGHT, **plot_kw) )
+ caplines.extend( self.plot(rightup, yup, ls='None',
marker=mlines.CARETRIGHT, **lines_kw) )
xuplims = ~xuplims
rightup, yup = xywhere(right, y, xuplims)
- caplines.extend( self.plot(rightup, yup, 'k|', **plot_kw)
)
+ caplines.extend( self.plot(rightup, yup, 'k|',
**lines_kw) )
else:
- caplines.extend( self.plot(right, y, 'k|', **plot_kw) )
+ caplines.extend( self.plot(right, y, 'k|', **lines_kw) )
if yerr is not None:
if iterable(yerr) and len(yerr)==2 and iterable(yerr[0]) and
iterable(yerr[1]):
@@ -3925,22 +3934,22 @@
if lolims.any():
xlo, lowerlo = xywhere(x, lower, lolims)
- caplines.extend( self.plot(xlo, lowerlo, ls='None',
marker=mlines.CARETDOWN, **plot_kw) )
+ caplines.extend( self.plot(xlo, lowerlo, ls='None',
marker=mlines.CARETDOWN, **lines_kw) )
lolims = ~lolims
xlo, lowerlo = xywhere(x, lower, lolims)
- caplines.extend( self.plot(xlo, lowerlo, 'k_', **plot_kw) )
+ caplines.extend( self.plot(xlo, lowerlo, 'k_', **lines_kw)
)
else:
- caplines.extend( self.plot(x, lower, 'k_', **plot_kw) )
+ caplines.extend( self.plot(x, lower, 'k_', **lines_kw) )
if uplims.any():
xup, upperup = xywhere(x, upper, uplims)
- caplines.extend( self.plot(xup, upperup, ls='None',
marker=mlines.CARETUP, **plot_kw) )
+ caplines.extend( self.plot(xup, upperup, ls='None',
marker=mlines.CARETUP, **lines_kw) )
uplims = ~uplims
xup, upperup = xywhere(x, upper, uplims)
- caplines.extend( self.plot(xup, upperup, 'k_', **plot_kw) )
+ caplines.extend( self.plot(xup, upperup, 'k_', **lines_kw)
)
else:
- caplines.extend( self.plot(x, upper, 'k_', **plot_kw) )
+ caplines.extend( self.plot(x, upper, 'k_', **lines_kw) )
if not barsabove and fmt is not None:
l0, = self.plot(x,y,fmt,**kwargs)
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