So it sounds like you're not specifying the subplots correctly.
I recommend using `fig, axes = plt.subplots(nrows=R, ncols=C)` as a
replacement for `fig = plt.figure` and `fig.add_subplot()`.
`axes` will be a numpy array of Axes objects through which you'll be able
to loop along with your other variable.
Good luck.
-paul
On Mon, Mar 10, 2014 at 10:46 AM, Gabriele Brambilla <
gb.gabrielebrambi...@gmail.com> wrote:
> 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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