I never got the trick with set_yscale="clip" to work for my plots (MPL
1.1.0).
So I'm passing my error values to this little function in order to correct
the yerr_neg:
def filt_neg_err(y, yerr, set_ymin=1e-6):
ymin = y - yerr
filt = ymin < 0
yerr_pos = yerr.copy()
yerr_neg = yerr.copy()
yerr_neg[filt] = y[filt] - set_ymin
return np.array([yerr_neg, yerr_pos])
Cheers,
Arne
Benjamin Root-2 wrote:
>
> On Fri, Mar 9, 2012 at 1:14 PM, Wolfgang Draxinger <
> wdraxinger.maill...@draxit.de> wrote:
>
>> On Fri, 9 Mar 2012 11:19:15 -0600
>> Benjamin Root <ben.r...@ou.edu> wrote:
>>
>> > Can I have the data you used to produce these errorbars so I can test
>> > this bug?
>>
>> Here's the data
>>
>> # Fluence.... -sigma Signal... -sigma area
>> 1127 48.32 9.114 10.31 0.1318
>> 1.127e+04 482.9 35.96 16.15 0.4994
>> 1.127e+05 4829 231.2 101.1 2.568
>> 1.127e+06 4.829e+04 4631 1689 12.22
>>
>>
> Ah, finally figured it out. The issue is that your y-value for that error
> bar is 9.114, but you want to plot error bars that are +/-10.31. That
> line
> gets thrown out by matplotlib because you can't plot at negative values
> for
> log scale. There is a trick that might work. The set_yscale method has a
> kwarg "nonposy" which could be set to "clip". You could also try setting
> to the "symlog" scale which might let you get away with a negative value.
>
> I hope that helps!
> Ben Root
>
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