matplotlib-users Mailing List for matplotlib (Page 2)

Dears Sandro & Darren,

First of all, thank you *very much* for the fast reply!

Let's see... I have the same problem (no graphics display) with either
Python and IPython. BTW, in previous versions of Python which I'v used
(2.3, 2.4, and 2.5) Matplotlib graphic backends always worked quite
well.

I forgot to mention that I'm using the default version of Matplotlib
that comes with Jaunty and it is quite old (0.98.5.2). Should I will
try to reinstall it from the sources (easy_install only finds the old
version)?

I will check the matplotlibrc, but why should the Agg default backend not work?

With best regards,

2010/4/1 Darren Dale <dsd...@gm...>:
> On Thu, Apr 1, 2010 at 7:53 AM, Mauro Cavalcanti <mau...@gm...> wrote:
>> Dear ALL,
>>
>> Long time no see.... Well, I have recently upgraded from Ubuntu
>> Intrepid to Jaunty (sure, I know that I'm a couple of versions
>> delayed, but keeping a working system stable is essential). I did not
>> a fresh install of Ubuntu, just upgraded using the system's facility
>> for that. Previously I have did that from Ubuntu Hardy to Intrepid,
>> with less (or no) troubles. However, in Jaunty the default Python
>> interpreter has been upgraded from 2.5 to 2.6 and this is presenting
>> the most annoying problems.
>>
>> For now, the most vexing problem is that although Matplotlib is
>> correctly installed and seemingly working, it does not show any
>> graphics! For exemple, if I run the simple example from Matplotlib's
>> website:
>>
>> Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41)
>> [GCC 4.3.3] on linux2
>> Type "help", "copyright", "credits" or "license" for more information.
>>>>> from pylab import randn, hist
>>>>> x = randn(10000)
>>>>> hist(x, 100)
>>
>> Instead of a nice histogram, I am just presented with a "dump" of the
>> contents of an array:
>>
>> (array([  2,   0,   1,   2,   1,   2,   1,   3,   4,   7,  15,  16,   9,
>>      (cut here to save space)
>>       3.97823055,  4.05708515,  4.13593975,  4.21479434,  4.29364894,
>>        4.37250354]), <a list of 100 Patch objects>)
>>
>> No error messages or complaints about a missing graphics backend is
>> issued, so I'm lost.
>>
>> Any hints?
>
> When you run setup.py, the install routines attempt to determine what
> backend to use. If a suitable gui toolkit is not found, mpl defaults
> to the Agg backend. I suggest creating a matplotlibrc file that
> specifies a gui backend.
>
> Darren
>



-- 
Dr. Mauro J. Cavalcanti
P.O. Box 46521, CEP 20551-970
Rio de Janeiro, RJ, BRASIL
E-mail: mau...@gm...
Web: http://sites.google.com/site/maurobio
Linux Registered User #473524 * Ubuntu User #22717

Hi,

Is there a way to generate colormaps for complex-valued functions using
matplotlib? The type of plots I'm looking for are like the plots in:
http://commons.wikimedia.org/wiki/User:Jan_Homann/Mathematics

Thanks in advance,

Guy

----
http://www.guyrutenberg.com

On Thu, Apr 1, 2010 at 7:53 AM, Mauro Cavalcanti <mau...@gm...> wrote:
> Dear ALL,
>
> Long time no see.... Well, I have recently upgraded from Ubuntu
> Intrepid to Jaunty (sure, I know that I'm a couple of versions
> delayed, but keeping a working system stable is essential). I did not
> a fresh install of Ubuntu, just upgraded using the system's facility
> for that. Previously I have did that from Ubuntu Hardy to Intrepid,
> with less (or no) troubles. However, in Jaunty the default Python
> interpreter has been upgraded from 2.5 to 2.6 and this is presenting
> the most annoying problems.
>
> For now, the most vexing problem is that although Matplotlib is
> correctly installed and seemingly working, it does not show any
> graphics! For exemple, if I run the simple example from Matplotlib's
> website:
>
> Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41)
> [GCC 4.3.3] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>>>> from pylab import randn, hist
>>>> x = randn(10000)
>>>> hist(x, 100)
>
> Instead of a nice histogram, I am just presented with a "dump" of the
> contents of an array:
>
> (array([  2,   0,   1,   2,   1,   2,   1,   3,   4,   7,  15,  16,   9,
>      (cut here to save space)
>       3.97823055,  4.05708515,  4.13593975,  4.21479434,  4.29364894,
>        4.37250354]), <a list of 100 Patch objects>)
>
> No error messages or complaints about a missing graphics backend is
> issued, so I'm lost.
>
> Any hints?

When you run setup.py, the install routines attempt to determine what
backend to use. If a suitable gui toolkit is not found, mpl defaults
to the Agg backend. I suggest creating a matplotlibrc file that
specifies a gui backend.

Darren

On Thu, Apr 1, 2010 at 13:53, Mauro Cavalcanti <mau...@gm...> wrote:
> Dear ALL,
>
> Long time no see.... Well, I have recently upgraded from Ubuntu
> Intrepid to Jaunty (sure, I know that I'm a couple of versions
> delayed, but keeping a working system stable is essential). I did not
> a fresh install of Ubuntu, just upgraded using the system's facility
> for that. Previously I have did that from Ubuntu Hardy to Intrepid,
> with less (or no) troubles. However, in Jaunty the default Python
> interpreter has been upgraded from 2.5 to 2.6 and this is presenting
> the most annoying problems.

Yeah, let's all thanks Ubuntu for the its attention to quality and
well-prepared transitions...

> For now, the most vexing problem is that although Matplotlib is
> correctly installed and seemingly working, it does not show any
> graphics! For exemple, if I run the simple example from Matplotlib's
> website:
>
> Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41)
> [GCC 4.3.3] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>>>> from pylab import randn, hist
>>>> x = randn(10000)
>>>> hist(x, 100)

On Debian,

$ python2.6
Python 2.6.5rc2 (r265rc2:78822, Mar 11 2010, 16:48:00)
[GCC 4.4.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from pylab import randn, hist, show
>>> x = randn(10000)
>>> hist(x, 100)
>>> show()

works as expected

$ python2.6 -c "import matplotlib ; print matplotlib.__version__"
0.99.1.1

Wouldn't you want to run ipython instead of python?

Regards,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi

Dear ALL,

Long time no see.... Well, I have recently upgraded from Ubuntu
Intrepid to Jaunty (sure, I know that I'm a couple of versions
delayed, but keeping a working system stable is essential). I did not
a fresh install of Ubuntu, just upgraded using the system's facility
for that. Previously I have did that from Ubuntu Hardy to Intrepid,
with less (or no) troubles. However, in Jaunty the default Python
interpreter has been upgraded from 2.5 to 2.6 and this is presenting
the most annoying problems.

For now, the most vexing problem is that although Matplotlib is
correctly installed and seemingly working, it does not show any
graphics! For exemple, if I run the simple example from Matplotlib's
website:

Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41)
[GCC 4.3.3] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from pylab import randn, hist
>>> x = randn(10000)
>>> hist(x, 100)

Instead of a nice histogram, I am just presented with a "dump" of the
contents of an array:

(array([  2,   0,   1,   2,   1,   2,   1,   3,   4,   7,  15,  16,   9,
      (cut here to save space)
       3.97823055,  4.05708515,  4.13593975,  4.21479434,  4.29364894,
        4.37250354]), <a list of 100 Patch objects>)

No error messages or complaints about a missing graphics backend is
issued, so I'm lost.

Any hints?

Thanks in advance for any assistance you can provide.

Best wishes,

-- 
Dr. Mauro J. Cavalcanti
P.O. Box 46521, CEP 20551-970
Rio de Janeiro, RJ, BRASIL
E-mail: mau...@gm...
Web: http://sites.google.com/site/maurobio
Linux Registered User #473524 * Ubuntu User #22717

Hi all,
I have several graph to create and the position on the x axis can vary 
quite a lot.
Most of the time I'm quite happy with the default behavior but when my x 
values are very high matplotlib automatically change the ticks and set a 
scale on the axis (see screenshot) 
<http://img6.imageshack.us/img6/6834/chab052195802198642shif.png>
I looking for a way to change the default behavior to get a scale in 
10E** instead of some random scale.
Is there a simple way of doing that?

Thanks a lot for your help

Tim

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.

Dear All,
               I have one .png image of 940X780 and i am plotting waveforms
on it. When I save this plot as .png , matp[lotlib gives image in
800X600 that too with white space. I dont want to keep the white space and i
want the same resolution as original image.How should I go ahead?
Thanks in advance!!!
Regards
Yogesh

On 3/31/2010 10:40 PM, ericyosho wrote:
> send x and y ranges to meshgrid
>    

Does this mean you have the entire grid of points?
In any case, you can get an array of your points
as np.array([(x,y,z) for (x,y),z in d.iteritems()])

fwiw,
Alan Isaac

I'm using the prebuilt OS X dmg distribution of matplotlib with the mac python 2.6.4 installation on os x 10.6.3.  I find that if I try to use savefig to pdf format, my program terminates with a bus error.  There is no such error if I save to eps format.

-gideon

Hi, All,

I have a bunch of 3D points with coordinations in a dict
pointset = {
(x1,y1):z1,
(x2,y2):z2,
...
}

It seems I have to
1. fire a loop to change each item and convert the whole dictionary into arrays;
x = []
y = []
for i in pointset.items():
    x.append(i[0][0])
    y.append(i[0][1])

2. send x and y ranges to meshgrid
3. loop again to put z values into proper positions
4. use plot_surface()

Is there any quicker ways to do that?

And we know that for points with coordination, scatter must be the
simplest way to visualize them.
Is there any trick to convert a scatter graph into a surface picture directly?

Appreciation for any ideas.


Zhe Yao
--------------
Department of Computer and Electrical Engineering
McGill University
Montreal, QC, Canada
H3A 2A7

zh...@ma...