On Thu, Sep 30, 2010 at 1:44 PM, Benjamin Root <ben.r...@ou.edu> wrote:
> 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
>
>
I just had another thought.... have you ever modified your matplotlibrc
file? It might be possible that you have turned off holds (which is
default). If so, then this would be a bug, because the errorbar function
should temporarially turn on the hold in order to complete its task.
Ben Root
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