On Thu, Sep 30, 2010 at 1:28 PM, Joey Richards <j...@caltech.edu> 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.
>
> 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()
>
>
Joey,
The code works as expected for me. Which version of matplotlib are you
using (print matplotlib.__version__)?
Ben Root
------------------------------------------------------------------------------
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
