matplotlib-users Mailing List for matplotlib

I am happy to announce the release of Bokeh version 0.4.2!
Bokeh is a Python library for visualizing large and realtime datasets on the web. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity to thin clients. Bokeh includes its own Javascript library (BokehJS) that implements a reactive scenegraph representation of the plot, and renders efficiently to HTML5 Canvas. Bokeh works well with IPython Notebook, but can generate standalone graphics that embed into regular HTML. We are also building matplotlib compatibility so that users can drive Bokeh visualizations directly from MPL code. 
Check out the full documentation, interactive gallery, and tutorial at
 http://bokeh.pydata.org
If you are using Anaconda, you can install with conda:
 conda install bokeh
Alternatively, you can install with pip:
 pip install bokeh
Some of the new features in this release include:
* Additional Matplotlib and Seaborn compatibility (PolyCollection)
* Extensive tutorial with exercises and solutions added to docs
* new %bokeh magic for improved IPython notebook integration
* Windows support for bokeh-server with two new storage backends (in-memory and shelve)
Also, we've fixed lots of little bugs - see the CHANGELOG for full details.
BokehJS is also available by CDN for use in standalone javascript applications:
 http://cdn.pydata.org/bokeh-0.4.2.js
 http://cdn.pydata.org/bokeh-0.4.2.css
 http://cdn.pydata.org/bokeh-0.4.2.min.js
 http://cdn.pydata.org/bokeh-0.4.2.min.css
Some examples of BokehJS use can be found on the Bokeh JSFiddle page:
 http://jsfiddle.net/user/bokeh/fiddles/
The release of Bokeh 0.5 is planned for late March. Some notable features we plan to include are:
* Abstract Rendering for semantically meaningful downsampling of large datasets
* Better grid-based layout system, using Cassowary.js
* More MPL/Seaborn/ggplot.py compatibility and examples
* Additional tools, improved interactions, and better plot frame
* Touch support
Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/continuumio/bokeh
Questions can be directed to the Bokeh mailing list: bo...@co...
Special thanks to recent contributors: Melissa Gymrek, Amy Troschinetz, Ben Zaitlen, Damian Avila, and Terry Jones
Regards,
Bryan Van de Ven
Continuum Analytics
http://continuum.io

thank you guys, it works very well!
Gabriele
2014年03月10日 14:07 GMT-04:00 Joe Kington <jof...@gm...>:
>
> On Mar 10, 2014 1:00 PM, "Gabriele Brambilla" <
> gb....@gm...> 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年03月10日 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年03月10日 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
> >>>>>
> >>>>>
> ------------------------------------------------------------------------------
> >>>>> Learn Graph Databases - Download FREE O'Reilly Book
> >>>>> "Graph Databases" is the definitive new guide to graph databases and
> their
> >>>>> applications. Written by three acclaimed leaders in the field,
> >>>>> this first edition is now available. Download your free book today!
> >>>>> http://p.sf.net/sfu/13534_NeoTech
> >>>>> _______________________________________________
> >>>>> Matplotlib-users mailing list
> >>>>> Mat...@li...
> >>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >>>>>
> >>>>
> >>>
> >>
> >
> >
> >
> ------------------------------------------------------------------------------
> > Learn Graph Databases - Download FREE O'Reilly Book
> > "Graph Databases" is the definitive new guide to graph databases and
> their
> > applications. Written by three acclaimed leaders in the field,
> > this first edition is now available. Download your free book today!
> > http://p.sf.net/sfu/13534_NeoTech
> > _______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
>
>

On Mar 10, 2014 1:00 PM, "Gabriele Brambilla" <
gb....@gm...> 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年03月10日 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年03月10日 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
>>>>>
>>>>>
------------------------------------------------------------------------------
>>>>> Learn Graph Databases - Download FREE O'Reilly Book
>>>>> "Graph Databases" is the definitive new guide to graph databases and
their
>>>>> applications. Written by three acclaimed leaders in the field,
>>>>> this first edition is now available. Download your free book today!
>>>>> http://p.sf.net/sfu/13534_NeoTech
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>
>>>
>>
>
>
>
------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

And how can I select in which position of the grid of plots put my errorbar
plot?
like axes[i].errorbar(...)?
thanks
Gabriele
2014年03月10日 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年03月10日 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
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Learn Graph Databases - Download FREE O'Reilly Book
>>>> "Graph Databases" is the definitive new guide to graph databases and
>>>> their
>>>> applications. Written by three acclaimed leaders in the field,
>>>> this first edition is now available. Download your free book today!
>>>> http://p.sf.net/sfu/13534_NeoTech
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>
>>
>

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年03月10日 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
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Learn Graph Databases - Download FREE O'Reilly Book
>>> "Graph Databases" is the definitive new guide to graph databases and
>>> their
>>> applications. Written by three acclaimed leaders in the field,
>>> this first edition is now available. Download your free book today!
>>> http://p.sf.net/sfu/13534_NeoTech
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>

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年03月10日 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
>>
>>
>> ------------------------------------------------------------------------------
>> Learn Graph Databases - Download FREE O'Reilly Book
>> "Graph Databases" is the definitive new guide to graph databases and their
>> applications. Written by three acclaimed leaders in the field,
>> this first edition is now available. Download your free book today!
>> http://p.sf.net/sfu/13534_NeoTech
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>

Dear all,
I am using the matplotlib 1.2.0 version, is there some way to put the
label above the horizontal colorbar? like in the attached example, I would
like the labels to be shown above the colorbar?
thanks a lot in advance,
Cheers,
Chao
-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************

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
>
>
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

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