No, if you look better near the zero there are some COLOURED lines: you
have this impression because the values in EcutS are enormous respect the
other one in GAMMAs and Bees. When you plot them all together the other
ones disappear... I don't want to plot them all together.

Excuse me but it's very difficult for me to give you a self running code:
it's an enormous code with a lot of things that recall each others...

Thanks

Gabriele


2014-03-10 12:54 GMT-04:00 Paul Hobson <pmhob...@gmail.com>:

Gabriele,
>
> I'm confused. I only see 1 series in each subplot. Could you trim your
> example down into some code that we can copy, paste, and run? A more
> thorough description of the problem might help too.
> -p
>
>
> On Mon, Mar 10, 2014 at 9:39 AM, Gabriele Brambilla <
> gb.gabrielebrambi...@gmail.com> wrote:
>
>> Hi I'm trying to do a particular plot similar to this one:
>> http://matplotlib.org/examples/pylab_examples/line_styles.html
>>
>> but my code pastes different datas in the same plot. I want only one
>> array per each plot. I attach the wrong result
>>
>> fdatas = plt.figure()
>> for filename in filenames:
>>
>> [various things]
>>
>>             for obsangl in angles:
>>                               [various things]
>>
>>                               #fitspectrum4.fitSpec is one my personal
>> fitting routine
>>
>>                               pa0, era0, pa1, era1, pa2, era2, pa3, era3
>> = fitspectrum4.fitSpec(eels, averspe, (1.0)*(10**(-8)), 0.66, 10**6, 1)
>>                               GAMMAs.append(pa1)
>>                               EcutS.append(pa2)
>>                               Bees.append(pa3)
>>                               GeR.append(era1)
>>                               EeR.append(era2)
>>                               beR.append(era3)
>>
>>               ialph += 1
>>               ialpg = ialph
>>               axum1 = fdatas.add_subplot(numalp, 3, ialpg)
>>               da1 = axum1.errorbar(angles, GAMMAs, yerr=GeR, marker =
>> ".")
>>               ialpg = ialph + 1
>>               axum2 = fdatas.add_subplot(numalp, 3, ialpg)
>>               da2 = axum2.errorbar(angles, EcutS, yerr=EeR, marker = ".")
>>
>>               ialpg = ialph + 2
>>               axum3 = fdatas.add_subplot(numalp, 3, ialpg)
>>               da3 = axum3.errorbar(angles, Bees, yerr=beR, marker = ".")
>>
>>
>>
>> thanks
>>
>> Gabriele
>>
>>
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