Re: [Matplotlib-users] multiplot in a for loop

[Gabriele B. <gb....@gm...>]

And how can I select in which position of the grid of plots put my errorbar
plot?

like axes[i].errorbar(...)?

thanks

Gabriele


2014-03-10 13:51 GMT-04:00 Paul Hobson <pmh...@gm...>:

> 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....@gm...> 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 <pmh...@gm...>:
>>
>> 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....@gm...> 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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>>>
>>
>