matplotlib-users Mailing List for matplotlib (Page 5)

sorry for that,
I supposed that I was not more in the the first mailing list. When I post
the second one, I realized that I was still in the mailing list
Regarding the post:
Image Type: png (The PNG image format)
Width: 704 pixels
Height: 538 pixels
Thanks a lot
Diego
On 12 March 2014 12:10, Oliver [via matplotlib] <
ml-...@n5...> wrote:
> Please don't double post. Also, this post is much more informative than
> the first, it's much clearer now where the problem is, and it is not
> related to matplotlib at all, but with the options you're passing to
> *mencoder*.
>
> What's the size of your orginal pngs?
>
>
>
> 2014年03月12日 11:58 GMT+01:00 diedro <[hidden email]<http://user/SendEmail.jtp?type=node&node=43046&i=0>
> >:
>
>> Dear all,
>> I have created a video from *.png files. The problem is that my video has
>> black bands on the left and on the right. I have used the following
>> commands:
>>
>> command = ('mencoder',
>> 'mf://*.png',
>> '-mf',
>> 'type=png:w=9800:h=600:fps=0.6',
>> '-ovc',
>> 'lavc',
>> '-lavcopts',
>> 'vcodec=mpeg4',
>> '-oac',
>> 'copy',
>> '-o',
>> 'output.avi')
>>
>> How could I create a video without the black bands.
>>
>> Thank you all,
>>
>>
>>
>> --
>> View this message in context:
>> http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
>> ------------------------------------------------------------------------------
>> 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
>> [hidden email] <http://user/SendEmail.jtp?type=node&node=43046&i=1>
>> 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
> [hidden email] <http://user/SendEmail.jtp?type=node&node=43046&i=2>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
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Please don’t double post. Also, this post is much more informative than the
first, it’s much clearer now where the problem is, and it is not related to
matplotlib at all, but with the options you’re passing to *mencoder*.
What’s the size of your orginal pngs?
2014年03月12日 11:58 GMT+01:00 diedro <die...@gm...>:
> Dear all,
> I have created a video from *.png files. The problem is that my video has
> black bands on the left and on the right. I have used the following
> commands:
>
> command = ('mencoder',
> 'mf://*.png',
> '-mf',
> 'type=png:w=9800:h=600:fps=0.6',
> '-ovc',
> 'lavc',
> '-lavcopts',
> 'vcodec=mpeg4',
> '-oac',
> 'copy',
> '-o',
> 'output.avi')
>
> How could I create a video without the black bands.
>
> Thank you all,
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
> ------------------------------------------------------------------------------
> 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 have created a video from *.png files. The problem is that my video has
black bands on the left and on the right. I have used the following
commands:
command = ('mencoder',
 'mf://*.png',
 '-mf',
 'type=png:w=9800:h=600:fps=0.6',
 '-ovc',
 'lavc',
 '-lavcopts',
 'vcodec=mpeg4',
 '-oac',
 'copy',
 '-o',
 'output.avi')
How could I create a video without the black bands.
Thank you all,
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hello.
I've poste here a question but no one seems to have an hint to give so I
repeat my question here.
In the attached Python 3 code, I draw n**2 squares in black and then I
dynamically change in a random way the colors of some squares.
The problem I met is that at each new random choice, I redraw all the
squares. I know that it is stupid for large number of squares.
Is there a way to change some propriety of one square, and then to ask to
matplotlib to redraw only what have changed ? I'm looking for something
similar to `blint` for animations.
Christophe BAL

dear Matplotlib users,
I have tried to create a video with many *.png files. The problem is that
the videos has black bands on the right and on the left. How Can I create a
video but without black bands?
Thanks a lot
Diego

Hi everyone,
since matplotlib 1.3 matplotlib figures are pickle-able
but when i try an example found on stackoverflow:
import matplotlib.pyplot as plt
import numpy as np
import pickle
ax = plt.subplot(111)
x = np.linspace(0, 10)
y = np.exp(x)
plt.plot(x, y)
pickle.dump(ax, file('myplot.pickle', 'w'))
(http://stackoverflow.com/questions/7290370/store-and-reload-matplotlib-pyplot-object)
i get the following error:
Traceback (most recent call last):
 File "D:/Work/Programming/Experimental/picklematplotlib/main.py", line 15,
in <module>
 pickle.dump(ax, file)
 File "C:\Python32\lib\site-packages\six.py", line 116, in __getattr__
 _module = self._resolve()
 File "C:\Python32\lib\site-packages\six.py", line 105, in _resolve
 return _import_module(self.mod)
 File "C:\Python32\lib\site-packages\six.py", line 76, in _import_module
 __import__(name)
 File "C:\Python32\lib\dbm\gnu.py", line 3, in <module>
 from _gdbm import *
ImportError: No module named _gdbm
i am using matplotlib-1.3.1.win-amd64.py3.2.exe version of matplotlib
together with python3.2 on an 64bit windows machine
thanks,
jojo
--
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Have you checked out the api logo2
example<http://matplotlib.org/examples/api/logo2.html>
?
It will allow you to have the logo in a variety of display formats.
2014年03月11日 9:50 GMT+01:00 Christophe Bal <pro...@gm...>:
> Hello,
> it could be very useful for websites, and not only mine, to have a SVC of
> both the logo and only the data graph used in the logo.
>
> Is there at least a SVG downloadable version of the logo ?
>
> Best regards.
> Christophe BAL
>
>
> ------------------------------------------------------------------------------
> 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
>
>

Hello,
it could be very useful for websites, and not only mine, to have a SVC of
both the logo and only the data graph used in the logo.
Is there at least a SVG downloadable version of the logo ?
Best regards.
Christophe BAL

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

Hi all,
I have some pcolormesh data that is in a thin strip along a slope at a (say) 45 degree angle. Is there a way to set up a view of data just within dz of the slope, following the slope? I would then stack successive views of this data. 
I tentatively tried something like:
pcm=pcolormesh(x,z,Ep,rasterized=True,cmap=jet,vmin=-13,vmax=-5)
rect = Rectangle((1,-8),10,4, facecolor="none", edgecolor="k",angle=-45)
gca().add_artist(rect)
pcm.set_clip_path(rect) 
But that doesn't clip properly. 
Note, I don't really want to rotate the data (that would be easy enough). I'd still prefer there was the sense of a slope relative to the horizontal. 
Thanks for any thoughts...
Cheers, Jody

On 2014年03月06日 10:43 PM, svebert wrote:
> Hi!
>
> I plot measurment data and connect them with lines (style eg. "-*r"). Points
> which are outside of the ylimits are still connected with points which are
> inside of the ylimits. Is there any way to tell matplot to only connect two
> points if both are inside the y/x-limits?
> Because now i get weird lines crossing the whole canvas if some points
> spread to much from the mean data.
>
> Removing points before plotting is not an option because then points are
> connected which are not in consecutive order. Matplotlib should just skip a
> connecting line when one of the two points lies without the canvas/limits.
It sounds like what you need to do is either use a masked array and mask 
out the points that are outside the limits, or use NaNs for that purpose.
Eric
>
> Is there any simple way/option to do tha?
>
> Thanks in advance,
> Sven
>
>
>
> --
> View this message in context: http://matplotlib.1069221.n5.nabble.com/Clip-or-skip-lines-going-over-border-of-canvas-tp43015.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
> ------------------------------------------------------------------------------
> Subversion Kills Productivity. Get off Subversion & Make the Move to Perforce.
> With Perforce, you get hassle-free workflows. Merge that actually works.
> Faster operations. Version large binaries. Built-in WAN optimization and the
> freedom to use Git, Perforce or both. Make the move to Perforce.
> http://pubads.g.doubleclick.net/gampad/clk?id=122218951&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi!
I plot measurment data and connect them with lines (style eg. "-*r"). Points
which are outside of the ylimits are still connected with points which are
inside of the ylimits. Is there any way to tell matplot to only connect two
points if both are inside the y/x-limits?
Because now i get weird lines crossing the whole canvas if some points
spread to much from the mean data.
Removing points before plotting is not an option because then points are
connected which are not in consecutive order. Matplotlib should just skip a
connecting line when one of the two points lies without the canvas/limits.
Is there any simple way/option to do tha?
Thanks in advance,
Sven 
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/Clip-or-skip-lines-going-over-border-of-canvas-tp43015.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On Sat, Feb 8, 2014 at 10:48 AM, Alan G Isaac <ai...@am...> wrote:
> The documentation for FuncAnimation says
>
> http://matplotlib.org/api/animation_api.html#matplotlib.animation.FuncAnimation
>
> Makes an animation by repeatedly calling a function func,
> passing in (optional) arguments in fargs.
>
> frames can be a generator, an iterable, or a number of frames.
>
> I do not think FuncAnimation can be understood from this
> documentation. (At least, I did not understand it.)
> I think it should read:
>
> Makes an animation by repeatedly calling a function `func`,
> passing in a value from `frames` and any (optional) arguments in
> `fargs`.
>
> `frames` can be a generator, an iterable, or an integer number of
> frames.
> Passing `frames=n` for integer `n` is equivalent to passing
> `range(n)`.
>
> Does this seem correct?
>
> Thanks,
> Alan Isaac
>
> PS It would be nice if repeat accepted an integer number of repetitions.
>
That does sound correct to me. (I'll apologize for the broken English in
the docs).
Any chance you could file an issue, and maybe one on the repeat? (I agree
this would be nice to have).
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

On Mon, Feb 24, 2014 at 2:44 PM, Derek Pyne <dp...@ba...> wrote:
> Does anyone know the preferred method for stopping FuncAnimation? I am
> using it to record data from a oscilloscope and woud like to be able to
> pause and restart the data on demand. Is there any way I can send a button
> click event to it?
>
There's an event_source() method that can be called to get the class that's
controlling when animation events get fired (usually a timer, but you can
provide custom ones). You should be able to call start() and stop() on it.
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

On 2014年03月06日 4:18 AM, Asma Riyaz wrote:
> Hi,
>
> I am stuck at setting the color bar minimum and maximum values,
> according to what I found I need to set ticks to a numpy linspace array.
> Here is my code:
>
> *threshold=1.01
>
> fig = plt.figure(figsize=(25,25))
> plt.suptitle(file_handle.replace('.csv',''),fontsize=22)
> cmap.set_over('green')
> cmap.set_under('grey')
> gs=gridspec.GridSpec(1, 2,height_ratios=[1,1,-2,2]
> ,width_ratios=[2,1,-2,2],hspace=0,wspace=0)
>
> phyl_ax=plt.subplot(gs[0])
> ht_ax=plt.subplot(gs[1])
>
> ht_ax.set_xlim(34,0)
> ht_ax.set_ylim(34,0)
>
>
> cb_ax,kw =mpl.colorbar.make_axes(ht_ax, shrink=0.65)
>
> plt.setp(phyl_ax.get_xticklabels(),visible=False)
> plt.setp(phyl_ax.get_yticklabels(),visible=False)
> plt.setp(ht_ax.get_xticklabels(),visible=True)
> plt.setp(ht_ax.get_yticklabels(),visible=True)
> plt.setp(phyl_ax.get_xticklines(),visible=False)
> plt.setp(phyl_ax.get_yticklines(),visible=False)
> plt.setp(ht_ax.get_xticklines(),visible=True)
> plt.setp(ht_ax.get_yticklines(),visible=True)
>
>
> img =
> ht_ax.imshow(data,cmap=cmap,interpolation='none',vmin=-1.0,vmax=threshold,aspect='auto')
> v = np.linspace(-1.0, 1.0, 15, endpoint=True)
> cb =
> mpl.colorbar.ColorbarBase(ax=cb_ax,cmap=cmap,ticks=v,extend='neither',**kw)
> cb.cmap.set_over('green')
> img= mpimg.imread('/home/asmariyaz/Desktop/mytree.png')
> phyl_ax.imshow(img,interpolation='bilinear',aspect='auto')
> *
>
Why are you using ColorbarBase instead of using fig.colorbar? By doing 
so, you are not getting the logic that ties the colorbar to the 
color-mapped object to which it applies.
Eric
> The problem that arises is that the color bar's extent always shows up
> from 0 to 1, though I set the ticks from -1 to 1?
> I also noticed that in a dataset where I have a negative value, the
> color bar still shows up as 0 to 1.
>
> Could anyone guide me? Appreciate your help!!
>
> Asma
>
>
>
>
>
>
>
>
> ------------------------------------------------------------------------------
> Subversion Kills Productivity. Get off Subversion & Make the Move to Perforce.
> With Perforce, you get hassle-free workflows. Merge that actually works.
> Faster operations. Version large binaries. Built-in WAN optimization and the
> freedom to use Git, Perforce or both. Make the move to Perforce.
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>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

2014年03月05日 21:13 GMT+01:00 Adam Hughes <hug...@gm...>:
> Thanks Andreas. That is correct; however, I'd rather not make this change
> global. I only want a subset of my plots to have this behavior. I feel
> like changing the rcparams would change this globally and probably confuse
> users who don't know this is being called.
Try using rc_context:
with plt.rc_context(rc={'axes.color_cycle': ['orange', default_cycle[1::]]}):
 plt.plot(...)
This should change the color cycle only within the scope of the with
clause (not tested with this particular rcparam).
Goyo

I've seen examples for 2 axis using twinx, and examples using subplothost.
Any reason to choose one over the other?