On 09/30/2010 08:28 AM, Joey Richards wrote: > When I use the errorbar() routine to plot data, unless I set hold=True as a > kwarg (or set it globally), the data are plotted without the errorbars. I > believe it is because the routine first plots the error bars, then overplots > the data points and for some reason the routine is clearing the axis in > between these steps. >
Joey, That is a major bug in errorbar. I suspect no one has brought it to our attention before because hold=True is the default. The only workaround is what you have already found: ensure hold is True for the call to errorbar. If there is no reply within a couple of days to the effect that someone has fixed this bug, then please file a ticket so that we don't forget about it. http://sourceforge.net/tracker/?group_id=80706&atid=560720 Eric > This is rather annoying for interactive use and does not seem to be the > expected behavior. For example, if I run the example code from the errorbar > page (my copy pasted below), I get a nice plot of the data with no error > bars. This seems to be the effect either from within "ipython -pylab" or > from standalone scripts. > > Any advice would be greatly appreciated, thanks. > > joey > > > import numpy as np > import matplotlib.pyplot as plt > > # example data > x = np.arange(0.1, 4, 0.5) > y = np.exp(-x) > > # example variable error bar values > yerr = 0.1 + 0.2*np.sqrt(x) > xerr = 0.1 + yerr > > # First illustrate basic pyplot interface, using defaults where possible. > plt.figure() > plt.errorbar(x, y, xerr=0.2, yerr=0.4) > plt.title("Simplest errorbars, 0.2 in x, 0.4 in y") > > plt.show() > > > > > ------------------------------------------------------------------------------ > Start uncovering the many advantages of virtual appliances > and start using them to simplify application deployment and > accelerate your shift to cloud computing. > http://p.sf.net/sfu/novell-sfdev2dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing. http://p.sf.net/sfu/novell-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
