On Mar 10, 2014 1:00 PM, "Gabriele Brambilla" <
gb.gabrielebrambi...@gmail.com> wrote:
>
> And how can I select in which position of the grid of plots put my
errorbar plot?
>
> like axes[i].errorbar(...)?
Exactly. Except that axes will be a 2d array if you have multiple rows and
columns, so it would be axes[i,j].errorbar(...).
If you just want to iterate over all of the subplots, use "for ax in
axes.flat:".
Hope that helps,
-Joe
>
> thanks
>
> Gabriele
>
>
> 2014-03-10 13:51 GMT-04:00 Paul Hobson <pmhob...@gmail.com>:
>
>> 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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>>>>> applications. Written by three acclaimed leaders in the field,
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>>>>
>>>
>>
>
>
>
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