date:20130327

Re: [Matplotlib-users] difficult LaTeX formula for rendering

2013-03-27 Thread Ilias Miroslav

Hi again,

if you did not receive the attachement of my previous email, the files are here:

https://docs.google.com/folder/d/0B8qBHKNhZAipZ2pnS0ViTUZBdXM/edit?usp=sharing

The log of the simplest non-rendering formula:

.. math::
 \begin{array}{c}
 {\Psi}^{L} \\
 {\Psi}^{S} 
 \end{array} 

is as follows:

ilias@miro_ilias_desktop:~/Dokumenty/Work/programming/sphinx-math-test/.sphinx-build
 .  . 
Running Sphinx v1.1.3

loading pickled environment... not yet created
No builder selected, using default: html
building [html]: targets for 1 source files that are out of date
updating environment: 1 added, 0 changed, 0 removed
reading sources... [100%] index 
   
looking for now-outdated files... none found
pickling environment... done
checking consistency... done
preparing documents... done
/usr/lib/pymodules/python2.7/matplotlib/sphinxext/mathmpl.py:56: Warning: Could 
not render math expression $\begin{array}{c}{\Psi}^{L} \\{\Psi}^{S}\end{array}$
  Warning)
#
writing additional files... genindex search
copying static files... done
dumping search index... done
dumping object inventory... done
build succeeded.


Best, Miro


From: Ilias Miroslav
Sent: Wednesday, March 27, 2013 8:28 PM
To: matplotlib-users@lists.sourceforge.net
Subject: difficult LaTeX formula for rendering

Dear experts,

in our sphinx-based project documentation (www.diracprogram.org) we have a 
complicated latex math formula, which is not rendered:

/usr/lib/pymodules/python2.7/matplotlib/sphinxext/mathmpl.py:56: Warning: Could 
not render math expression $i \hbar \frac{\partial}{\partial t} \left( 
\begin{array}{c}\Psi^L \\\Psi^S \end{array} \right) = c  \left( 
\begin{array}{c}(\vec{\sigma} \cdot \vec{\pi}) \Psi^S \\(\vec{\sigma} \cdot 
\vec{\pi}) \Psi^L \end{array} \right)+ m_ec^2  \left( \begin{array}{c} \Psi^L 
\\-\Psi^S \end{array} \right) + V  \left( \begin{array}{c}\Psi^L \\\Psi^S 
\end{array} \right)$

The index.rst file with the sole math formula is attached.

I have most recent Ubuntu 12.10 (x86_64) with default packages python-sphinx 
1.1.2, python-matplotlib 1.1.1.

Any help, please ? I was trying to cut this formula down; the smallest LaTeX 
part not rendered is "\begin{array}{c}\Psi^L \\ \Psi^S \end{array}".

Yours,

Miro
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Re: [Matplotlib-users] Trouble with legend and axis scaling

2013-03-27 Thread Jae-Joon Lee

The first issue is a bug, and I opened a PR that fixes this.

https://github.com/matplotlib/matplotlib/pull/1864

In the comments of the PR, you can find a workaround.

Regards,

-JJ




On Wed, Mar 27, 2013 at 11:09 PM, Hackstein  wrote:

> Sterling,
>
> I'm using matplotlib version 1.2.0 with agg backend.
>
> Here are two code examples, one for each problem. The first one doesn't
> save the figure due to the legend problem, seterr causes the script to stop
> with an error at that position.
> The second example shows the scientific labels on the y-axis, although it
> should be disabled in the code. I can't get the y-axis to display plain
> labels.
>
> First example:
> [code]
> import numpy as np
> np.seterr(all='raise')
> import matplotlib.pyplot as plt
>
> x_i = [11.7574075935, 11.66520713579, 11.6762413105, 11.6580992311,
> 11.65636838851]
> x_r = []
> dates = [2.83611000e-01,   2.69330463e+02,   2.70280648e+02,
> 2.71359248e+02,   2.72320822e+02]
>
> diff = 0.16
> ra = [0., 110.5349726]
> dec = [0., -16.1061281]
> med_i = np.median(x_i)
> med_r = np.median(x_r)
>
> plt.figure("i_only", figsize=(14.40, 9.00), dpi=100)
> if x_r == []:
>plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
>plt.title('i_mag', fontsize='16')
> else:
>plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s')
>plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
>plt.title('i_mag', fontsize='16')
> plt.rcParams['xtick.major.pad']=10
> plt.rcParams['ytick.major.pad']=10
> ax = plt.gca()
> ax.title.set_y(1.1)
> formy = plt.ScalarFormatter()
> formy.set_powerlimits((-5, 5))
> formy.set_scientific(False)
> ax.yaxis.set_major_formatter(formy)
> ax.set_ylim(ax.get_ylim()[::-1])
> for tick in ax.xaxis.get_major_ticks():
>tick.label.set_fontsize(16)
> for tick in ax.yaxis.get_major_ticks():
>tick.label.set_fontsize(16)
> plt.xlabel('Days', fontsize='20', labelpad=20)
> plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
>
> if x_r == []:
>plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
>   numpoints=1, ncol=2, borderaxespad=0.)
> else:
>plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
>   numpoints=1, ncol=2, borderaxespad=0.)
> leg = plt.gca().get_legend()
> ltext = leg.get_texts()
> plt.setp(ltext, fontsize='16')
> plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
> plt.close("i_only")
> [/code]
>
> Second example:
> [code]
> import numpy as np
> import matplotlib.pyplot as plt
>
> y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168,
> 11.12513415219]
> y_r = [11.14866716899, 11.10194503, 11.11235246531,
> 11.11168787179, 11.1214449011]
> dates_i = [2.83611000e-01,   2.69330463e+02, 2.70280648e+02,
> 2.72320822e+02, 2.73250579e+02]
> dates_r = [311.28215,   324.25844,   325.25194,   330.20983,   338.21356]
>
> diff = 0.16
> ra = [112.5379659, 110.5349726]
> dec = [ -15.9841039, -16.1061281]
> med_i = np.median(y_i)
> med_r = np.median(y_r)
>
> plt.figure("i_only", figsize=(14.40, 9.00), dpi=100)
> if y_r == []:
> plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
> plt.title('i_mag', fontsize='16')
> else:
> plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s')
> plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
> plt.title('i_mag', fontsize='16')
> plt.rcParams['xtick.major.pad']=10
> plt.rcParams['ytick.major.pad']=10
> ax = plt.gca()
> ax.title.set_y(1.1)
> formy = plt.ScalarFormatter()
> formy.set_powerlimits((-5, 5))
> formy.set_scientific(False)
> ax.yaxis.set_major_formatter(formy)
> ax.set_ylim(ax.get_ylim()[::-1])
> for tick in ax.xaxis.get_major_ticks():
> tick.label.set_fontsize(16)
> for tick in ax.yaxis.get_major_ticks():
> tick.label.set_fontsize(16)
> plt.xlabel('Days', fontsize='20', labelpad=20)
> plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
>
> if y_r == []:
> plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
>numpoints=1, ncol=2, borderaxespad=0.)
> else:
> plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
>numpoints=1, ncol=2, borderaxespad=0.)
> leg = plt.gca().get_legend()
> ltext = leg.get_texts()
> plt.setp(ltext, fontsize='16')
> plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
> plt.close("i_only")
> [/code]
>
> Best regards,
>
> frix
>
>
> Am 26.03.2013 um 20:36 schrieb Sterling Smith :
>
> > Frix,
> >
> > It may be useful to post the version and backend you are using to the
> list.
> >
> > import matplotlib
> > print matplotlib.__version__
> > print matplotlib.get_backend()
> >
> > Also, if you can format the code as a simple self-contained example,
> that would help others confirm what you are seeing.
> >
> > -Sterling
> >
> > On Mar 26, 2013, at 12:01PM, Hackstein wrote:
> >
> >> Hello everyone,
> >>
> >> I have two issues with my current projects:
> >>
> >> 1)  I automaticall

Re: [Matplotlib-users] problem with axhline and yscale

2013-03-27 Thread Steven Boada

Yeah,

when I used my officemate's computer (matplotlib 1.1.1) it works 
fine... I am running...

In [129]: import matplotlib

In [130]: matplotlib.__version__
Out[130]: '1.2.x'

Interesting...

Steven

On Wed Mar 27 16:29:53 2013, ChaoYue wrote:
> when saving as jpg, I cannot reproduce the problem.
> I am using version 1.2
>
> Chao
>
> On Wed, Mar 27, 2013 at 10:16 PM, Steven Boada [via matplotlib]
> <[hidden email] > wrote:
>
> Hey List,
>
> If you create a horizontal line, and then adjust the size of the
> figure, or axis limits the horizontal line does not move with
> everything else...
>
> To reproduce in ipython -pylab:
>
> axhline(5)
> yscale('log')
> ylim(0.5,30)
>
> The line stays where it started and is not moved when the plot is
> redrawn.
>
> This was discussed here (back in 2008!):
>
> 
> http://matplotlib.1069221.n5.nabble.com/transforms-bug-axhline-with-log-y-scale-td35548.html
>
> Then... when you save the figure, the position of the horizontal
> line does *NOT* match the position you see when the figure is
> shown...
>
> savefig('test.eps')
>
> Am I missing something?
>
> Steven
>
> --
>
> Steven Boada
>
> Doctoral Student
> Dept of Physics and Astronomy
> Texas A&M University
> [hidden email]  
>
>
> 
> --
>
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. $5K grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
> ___
> Matplotlib-users mailing list
> [hidden email] 
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
> 
> If you reply to this email, your message will be added to the
> discussion below:
> 
> http://matplotlib.1069221.n5.nabble.com/problem-with-axhline-and-yscale-tp40764.html
>
> To start a new topic under matplotlib - users, email [hidden
> email] 
> To unsubscribe from matplotlib, click here.
> NAML
> 
> 
>
>
>
>
>
> --
> ***
> 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
> 
>
> *figure_1.jpg* (149K) Download Attachment
> 
>
> 
> View this message in context: Re: problem with axhline and yscale
> 
> Sent from the matplotlib - users mailing list archive
>  at
> Nabble.com.
>
>
> --
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. $5K grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
>
>
> ___
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--

Steven Boada

Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@physics.tamu.edu

--
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Rise to greatness in Intel's independent game demo contest.
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Re: [Matplotlib-users] problem with axhline and yscale

2013-03-27 Thread ChaoYue

when saving as jpg, I cannot reproduce the problem.
I am using version 1.2

Chao

On Wed, Mar 27, 2013 at 10:16 PM, Steven Boada [via matplotlib] <
ml-node+s1069221n40764...@n5.nabble.com> wrote:

> Hey List,
>
> If you create a horizontal line, and then adjust the size of the figure,
> or axis limits the horizontal line does not move with everything else...
>
> To reproduce in ipython -pylab:
>
> axhline(5)
> yscale('log')
>  ylim(0.5,30)
>
> The line stays where it started and is not moved when the plot is redrawn.
>
> This was discussed here (back in 2008!):
>
>
> http://matplotlib.1069221.n5.nabble.com/transforms-bug-axhline-with-log-y-scale-td35548.html
>
> Then... when you save the figure, the position of the horizontal line does
> *NOT* match the position you see when the figure is shown...
>
> savefig('test.eps')
>
> Am I missing something?
>
> Steven
>
> --
>
> Steven Boada
>
> Doctoral Student
> Dept of Physics and Astronomy
> Texas A&M University[hidden email] 
> 
>
>
> --
>
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. $5K grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
> ___
> Matplotlib-users mailing list
> [hidden email] 
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
> --
>  If you reply to this email, your message will be added to the discussion
> below:
>
> http://matplotlib.1069221.n5.nabble.com/problem-with-axhline-and-yscale-tp40764.html
>  To start a new topic under matplotlib - users, email
> ml-node+s1069221n...@n5.nabble.com
> To unsubscribe from matplotlib, click 
> here
> .
> NAML
>



-- 
***
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



figure_1.jpg (149K) 





--
View this message in context: 
http://matplotlib.1069221.n5.nabble.com/problem-with-axhline-and-yscale-tp40764p40766.html
Sent from the matplotlib - users mailing list archive at Nabble.com.--
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Rise to greatness in Intel's independent game demo contest.
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Re: [Matplotlib-users] Plotting from datafile

2013-03-27 Thread Steven Boada

Hey Sayan,

Here is the manual page:

http://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html

It works (basically) the same as loadtxt, but it is more flexible when 
there are holes in your data.

Good luck.

Steven

On Wed Mar 27 10:07:10 2013, Sayan Chatterjee wrote:
> Hi Steven,
>
> I am a newbie to Python and hence Matplotlib. I cannot get your point
> properly. Could you please redirect me to a page where the usage is
> demonstrated?
>
> As I can see, you're a doctoral student in Physics, it might be
> worthwhile to tell you that I'm trying to code a  Zeldovich
> Approximation for a simple sinusoidal potential and want to make it
> evolve with varying scale factor and make an animation of it.
>
> Cheers,
> Sayan
>
>
> On 27 March 2013 19:58, Steven Boada  > wrote:
>
> Another, slightly more flexible, option is the genfromtxt
> function, also in numpy. Normally you should try genfromtxt after
> loadtxt doesn't work. Or, that is my normal method.
>
> Steven
>
>
> On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote:
>
> Thank you very much for your prompt reply.
>
> Florian,  your reply seems to be the answer to my question.
> I'll try
> it out. If can't figure out,I'll get back to you.
>
>
> On 27 March 2013 15:37, Florian M. Wagner
> mailto:wagne...@student.ethz.ch>
>  >> wrote:
>
> Hey Sayan,
>
> for reading in simple ASCII-Files containing your two
> arrays you
> should have a look at the numpy.loadtxt function.
>
> Scatter plots in matplotlib are then easily created as
> shown here
> http://matplotlib.org/__examples/pylab_examples/__scatter_demo.html
> 
>
> For your purpose you can do something like:
>
> import os
> import numpy as np
> import matplotlib.pyplot as plt
>
> for file in os.path.listdir():
> x, y = np.loadtxt(file, unpack=True)
> plt.scatter(x,y)
> plt.savefig(file + '.png')
>
> Cheers,
>
> Florian
>
>
> Am 27.03.2013 09:32, schrieb Sayan Chatterjee:
>
> Dear All,
>
> I'm new to Matplotlib. It might be a silly question,
> how does one
> plot data(not functions) in Matplotlib.
>
> How:
> 1)Two arrays (X and Y) can be plotted in a scatter
> diagram?
>
> 2) or a number of data files can used to produce
> different plots
> having different(sequential) name?
>
> Thanks in anticipation.
> Regards,
> Sayan
>
> --
>
>
>
> 
> --__--__--
> *Sayan  Chatterjee*
>
> Dept. of Physics and Meteorology
> IIT Kharagpur
> Lal Bahadur Shastry Hall of Residence
> Room AB 205
> Mob: +91 9874513565
> blog: www.blissprofound.blogspot.com
> 
>  >
>
> Volunteer , Padakshep
> www.padakshep.org 
> 
>
>
>
>
> 
> --__--__--
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo
> contest.
> Compete for recognition, cash, and the chance to get
> your game
> on Steam. $5K grand prize plus 10 genre and skill prizes.
> Submit your demo by
> 6/6/13.http://p.sf.net/sfu/__intel_levelupd2d
> 
>
>
> _
> Matplotlib-users mailing list
> Matplotlib-users@lists.__sourceforge.net
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>   >
> https://lists.sourceforge.net/__lists/listinfo/matplotlib-__users
> 
>
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>
>
> 
> --__--__--
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[Matplotlib-users] problem with axhline and yscale

2013-03-27 Thread Steven Boada


Hey List,

If you create a horizontal line, and then adjust the size of the figure, 
or axis limits the horizontal line does not move with everything else...


To reproduce in ipython -pylab:

axhline(5)
yscale('log')
ylim(0.5,30)

The line stays where it started and is not moved when the plot is redrawn.

This was discussed here (back in 2008!):

http://matplotlib.1069221.n5.nabble.com/transforms-bug-axhline-with-log-y-scale-td35548.html

Then... when you save the figure, the position of the horizontal line 
does *NOT* match the position you see when the figure is shown...


savefig('test.eps')

Am I missing something?

Steven

--

Steven Boada

Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@physics.tamu.edu

--
Own the Future-Intel® Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game 
on Steam. $5K grand prize plus 10 genre and skill prizes. 
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___
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[Matplotlib-users] difficult LaTeX formula for rendering

2013-03-27 Thread Ilias Miroslav

Dear experts,

in our sphinx-based project documentation (www.diracprogram.org) we have a 
complicated latex math formula, which is not rendered:

/usr/lib/pymodules/python2.7/matplotlib/sphinxext/mathmpl.py:56: Warning: Could 
not render math expression $i \hbar \frac{\partial}{\partial t} \left( 
\begin{array}{c}\Psi^L \\\Psi^S \end{array} \right) = c  \left( 
\begin{array}{c}(\vec{\sigma} \cdot \vec{\pi}) \Psi^S \\(\vec{\sigma} \cdot 
\vec{\pi}) \Psi^L \end{array} \right)+ m_ec^2  \left( \begin{array}{c} \Psi^L 
\\-\Psi^S \end{array} \right) + V  \left( \begin{array}{c}\Psi^L \\\Psi^S 
\end{array} \right)$

The index.rst file with the sole math formula is attached.

I have most recent Ubuntu 12.10 (x86_64) with default packages python-sphinx 
1.1.2, python-matplotlib 1.1.1.

Any help, please ? I was trying to cut this formula down; the smallest LaTeX 
part not rendered is "\begin{array}{c}\Psi^L \\ \Psi^S \end{array}".

Yours, 

Miro


index.rst
Description: index.rst
--
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Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game 
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[Matplotlib-users] ANN: matplotlib 1.2.1 release

2013-03-27 Thread Michael Droettboom

I'm pleased to announce the release of matplotlib 1.2.1.  This is a bug 
release and improves stability and quality over the 1.2.0 release from 
four months ago.  All users on 1.2.0 are encouraged to upgrade.


Since github no longer provides download hosting, our tarballs and 
binaries are back on SourceForge, and we have a master index of 
downloads here:


http://matplotlib.org/downloads 

Highlights include:

- Usage of deprecated APIs in matplotlib are now displayed by default on 
all Python versions
- Agg backend: Cleaner rendering of rectilinear lines when snapping to 
pixel boundaries, and fixes rendering bugs when using clip paths

- Python 3: Fixes a number of missed Python 3 compatibility problems
- Histograms and stacked histograms have a number of important bugfixes
- Compatibility with more 3rd-party TrueType fonts
- SVG backend: Image support in SVG output is consistent with other backends
- Qt backend: Fixes leaking of window objects in Qt backend
- hexbin with a log scale now works correctly
- autoscaling works better on 3D plots
- ...and numerous others.

Enjoy!  As always, there are number of good ways to get help with 
matplotlib listed on the homepage at http://matplotlib.org/ and I thank 
everyone for their continued support of this project.


Mike Droettboom
--
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Compete for recognition, cash, and the chance to get your game 
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Re: [Matplotlib-users] Trouble with legend and axis scaling

2013-03-27 Thread Sterling Smith

Frix,

I get the same error for your first example with v1.1.1 [although I had to 
comment out the med_r = np.median(x_r) to get it to run].  You should probably 
file a bug at [1].

I get the same result for your yaxis.  You need to change the formatter to 

ax.yaxis.set_major_formatter(plt.ScalarFormatter(useOffset=False))

-Sterling

[1] https://github.com/matplotlib/matplotlib/issues

On Mar 27, 2013, at 7:09AM, Hackstein wrote:

> Sterling,
> 
> I'm using matplotlib version 1.2.0 with agg backend.
> 
> Here are two code examples, one for each problem. The first one doesn't save 
> the figure due to the legend problem, seterr causes the script to stop with 
> an error at that position.
> The second example shows the scientific labels on the y-axis, although it 
> should be disabled in the code. I can't get the y-axis to display plain 
> labels. 
> 
> First example:
> [code]
> import numpy as np
> np.seterr(all='raise')
> import matplotlib.pyplot as plt
> 
> x_i = [11.7574075935, 11.66520713579, 11.6762413105, 11.6580992311, 
> 11.65636838851]
> x_r = []
> dates = [2.83611000e-01,   2.69330463e+02,   2.70280648e+02,   
> 2.71359248e+02,   2.72320822e+02]
> 
> diff = 0.16
> ra = [0., 110.5349726]
> dec = [0., -16.1061281]
> med_i = np.median(x_i)
> med_r = np.median(x_r)
> 
> plt.figure("i_only", figsize=(14.40, 9.00), dpi=100)
> if x_r == []:
>   plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
>   plt.title('i_mag', fontsize='16')
> else:
>   plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s')
>   plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
>   plt.title('i_mag', fontsize='16')
> plt.rcParams['xtick.major.pad']=10
> plt.rcParams['ytick.major.pad']=10
> ax = plt.gca()
> ax.title.set_y(1.1)
> formy = plt.ScalarFormatter()
> formy.set_powerlimits((-5, 5))
> formy.set_scientific(False)
> ax.yaxis.set_major_formatter(formy)
> ax.set_ylim(ax.get_ylim()[::-1])
> for tick in ax.xaxis.get_major_ticks():
>   tick.label.set_fontsize(16)
> for tick in ax.yaxis.get_major_ticks():
>   tick.label.set_fontsize(16)
> plt.xlabel('Days', fontsize='20', labelpad=20)
> plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
> 
> if x_r == []:
>   plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
>  numpoints=1, ncol=2, borderaxespad=0.)
> else:
>   plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
>  numpoints=1, ncol=2, borderaxespad=0.)
> leg = plt.gca().get_legend()
> ltext = leg.get_texts()
> plt.setp(ltext, fontsize='16')
> plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
> plt.close("i_only")
> [/code]
> 
> Second example:
> [code]
> import numpy as np
> import matplotlib.pyplot as plt
> 
> y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168, 
> 11.12513415219]
> y_r = [11.14866716899, 11.10194503, 11.11235246531, 
> 11.11168787179, 11.1214449011]
> dates_i = [2.83611000e-01,   2.69330463e+02, 2.70280648e+02,   
> 2.72320822e+02, 2.73250579e+02]
> dates_r = [311.28215,   324.25844,   325.25194,   330.20983,   338.21356]
> 
> diff = 0.16
> ra = [112.5379659, 110.5349726]
> dec = [ -15.9841039, -16.1061281]
> med_i = np.median(y_i)
> med_r = np.median(y_r)
> 
> plt.figure("i_only", figsize=(14.40, 9.00), dpi=100)
> if y_r == []:
>plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
>plt.title('i_mag', fontsize='16')
> else:
>plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s')
>plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
>plt.title('i_mag', fontsize='16')
> plt.rcParams['xtick.major.pad']=10
> plt.rcParams['ytick.major.pad']=10
> ax = plt.gca()
> ax.title.set_y(1.1)
> formy = plt.ScalarFormatter()
> formy.set_powerlimits((-5, 5))
> formy.set_scientific(False)
> ax.yaxis.set_major_formatter(formy)
> ax.set_ylim(ax.get_ylim()[::-1])
> for tick in ax.xaxis.get_major_ticks():
>tick.label.set_fontsize(16)
> for tick in ax.yaxis.get_major_ticks():
>tick.label.set_fontsize(16)
> plt.xlabel('Days', fontsize='20', labelpad=20)
> plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)
> 
> if y_r == []:
>plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
>   numpoints=1, ncol=2, borderaxespad=0.)
> else:
>plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
>   numpoints=1, ncol=2, borderaxespad=0.)
> leg = plt.gca().get_legend()
> ltext = leg.get_texts()
> plt.setp(ltext, fontsize='16')
> plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
> plt.close("i_only") 
> [/code]
> 
> Best regards,
> 
> frix
> 
> 
> Am 26.03.2013 um 20:36 schrieb Sterling Smith :
> 
>> Frix,
>> 
>> It may be useful to post the version and backend you are using to the list.
>> 
>> import matplotlib
>> print matplotlib.__version__
>> print matplotlib.get_backend()
>> 
>> Also, if you can format the code as a simple self-contained example, that 
>> would help others confir

Re: [Matplotlib-users] Plotting from datafile

2013-03-27 Thread Sayan Chatterjee

Hi Steven,

I am a newbie to Python and hence Matplotlib. I cannot get your point
properly. Could you please redirect me to a page where the usage is
demonstrated?

As I can see, you're a doctoral student in Physics, it might be worthwhile
to tell you that I'm trying to code a  Zeldovich Approximation for a simple
sinusoidal potential and want to make it evolve with varying scale factor
and make an animation of it.

Cheers,
Sayan


On 27 March 2013 19:58, Steven Boada  wrote:

> Another, slightly more flexible, option is the genfromtxt function, also
> in numpy. Normally you should try genfromtxt after loadtxt doesn't work.
> Or, that is my normal method.
>
> Steven
>
>
> On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote:
>
>> Thank you very much for your prompt reply.
>>
>> Florian,  your reply seems to be the answer to my question. I'll try
>> it out. If can't figure out,I'll get back to you.
>>
>>
>> On 27 March 2013 15:37, Florian M. Wagner > > wrote:
>>
>> Hey Sayan,
>>
>> for reading in simple ASCII-Files containing your two arrays you
>> should have a look at the numpy.loadtxt function.
>>
>> Scatter plots in matplotlib are then easily created as shown here
>> 
>> http://matplotlib.org/**examples/pylab_examples/**scatter_demo.html
>>
>> For your purpose you can do something like:
>>
>> import os
>> import numpy as np
>> import matplotlib.pyplot as plt
>>
>> for file in os.path.listdir():
>> x, y = np.loadtxt(file, unpack=True)
>> plt.scatter(x,y)
>> plt.savefig(file + '.png')
>>
>> Cheers,
>>
>> Florian
>>
>>
>> Am 27.03.2013 09:32, schrieb Sayan Chatterjee:
>>
>>> Dear All,
>>>
>>> I'm new to Matplotlib. It might be a silly question, how does one
>>> plot data(not functions) in Matplotlib.
>>>
>>> How:
>>> 1)Two arrays (X and Y) can be plotted in a scatter diagram?
>>>
>>> 2) or a number of data files can used to produce different plots
>>> having different(sequential) name?
>>>
>>> Thanks in anticipation.
>>> Regards,
>>> Sayan
>>>
>>> --
>>>
>>>
>>> --**--**
>>> --
>>> *Sayan  Chatterjee*
>>>
>>> Dept. of Physics and Meteorology
>>> IIT Kharagpur
>>> Lal Bahadur Shastry Hall of Residence
>>> Room AB 205
>>> Mob: +91 9874513565
>>> blog: www.blissprofound.blogspot.com
>>> 
>>> 
>>> >
>>>
>>> Volunteer , Padakshep
>>> www.padakshep.org 
>>>
>>>
>>>
>>> --**--**
>>> --
>>> Own the Future-Intel® Level Up Game Demo Contest 2013
>>> Rise to greatness in Intel's independent game demo contest.
>>> Compete for recognition, cash, and the chance to get your game
>>> on Steam. $5K grand prize plus 10 genre and skill prizes.
>>> Submit your demo by 
>>> 6/6/13.http://p.sf.net/sfu/**intel_levelupd2d
>>>
>>>
>>> __**_
>>> Matplotlib-users mailing list
>>> 
>>> Matplotlib-users@lists.**sourceforge.net
>>>  >> Matplotlib-users@**lists.sourceforge.net
>>> >
>>> 
>>> https://lists.sourceforge.net/**lists/listinfo/matplotlib-**users
>>>
>>
>>
>> --**--**
>> --
>> Own the Future-Intel® Level Up Game Demo Contest 2013
>> Rise to greatness in Intel's independent game demo contest.
>> Compete for recognition, cash, and the chance to get your game
>> on Steam. $5K grand prize plus 10 genre and skill prizes.
>> Submit your demo by 6/6/13. 
>> http://p.sf.net/sfu/intel_**levelupd2d
>> __**_
>> Matplotlib-users mailing list
>> 
>> Matplotlib-users@lists.**sourceforge.net
>> 
>> > >
>> 
>> https://lists.sourceforge.net/**lists/listinfo/matplotlib-**users
>>
>>
>>
>>
>> --
>>
>>
>> --**--**
>> --
>> *Sayan  Chatterjee*
>>
>> Dept. of Physics and Meteorology
>> IIT Kharagpur
>> Lal Bahadur Shastry Hall of Residence
>> Room AB 205
>> Mob: +91 9874513565
>> blog: www.blissprofound.blogspot.com
>> 
>> >
>>
>> Volunteer , Padakshep
>> www.padakshep.org 
>>
>>
>>
>> --**--**
>> -

Re: [Matplotlib-users] Plotting from datafile

2013-03-27 Thread Steven Boada

Another, slightly more flexible, option is the genfromtxt function, 
also in numpy. Normally you should try genfromtxt after loadtxt doesn't 
work. Or, that is my normal method.

Steven

On Wed Mar 27 07:16:45 2013, Sayan Chatterjee wrote:
> Thank you very much for your prompt reply.
>
> Florian,  your reply seems to be the answer to my question. I'll try
> it out. If can't figure out,I'll get back to you.
>
>
> On 27 March 2013 15:37, Florian M. Wagner  > wrote:
>
> Hey Sayan,
>
> for reading in simple ASCII-Files containing your two arrays you
> should have a look at the numpy.loadtxt function.
>
> Scatter plots in matplotlib are then easily created as shown here
> http://matplotlib.org/examples/pylab_examples/scatter_demo.html
>
> For your purpose you can do something like:
>
> import os
> import numpy as np
> import matplotlib.pyplot as plt
>
> for file in os.path.listdir():
> x, y = np.loadtxt(file, unpack=True)
> plt.scatter(x,y)
> plt.savefig(file + '.png')
>
> Cheers,
>
> Florian
>
>
> Am 27.03.2013 09:32, schrieb Sayan Chatterjee:
>> Dear All,
>>
>> I'm new to Matplotlib. It might be a silly question, how does one
>> plot data(not functions) in Matplotlib.
>>
>> How:
>> 1)Two arrays (X and Y) can be plotted in a scatter diagram?
>>
>> 2) or a number of data files can used to produce different plots
>> having different(sequential) name?
>>
>> Thanks in anticipation.
>> Regards,
>> Sayan
>>
>> --
>>
>>
>> 
>> --
>> *Sayan  Chatterjee*
>> Dept. of Physics and Meteorology
>> IIT Kharagpur
>> Lal Bahadur Shastry Hall of Residence
>> Room AB 205
>> Mob: +91 9874513565
>> blog: www.blissprofound.blogspot.com
>> 
>>
>> Volunteer , Padakshep
>> www.padakshep.org 
>>
>>
>> 
>> --
>> Own the Future-Intel® Level Up Game Demo Contest 2013
>> Rise to greatness in Intel's independent game demo contest.
>> Compete for recognition, cash, and the chance to get your game
>> on Steam. $5K grand prize plus 10 genre and skill prizes.
>> Submit your demo by 6/6/13.http://p.sf.net/sfu/intel_levelupd2d
>>
>>
>> ___
>> Matplotlib-users mailing list
>> Matplotlib-users@lists.sourceforge.net  
>> 
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
> 
> --
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. $5K grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> 
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
>
> --
>
>
> --
> *Sayan  Chatterjee*
> Dept. of Physics and Meteorology
> IIT Kharagpur
> Lal Bahadur Shastry Hall of Residence
> Room AB 205
> Mob: +91 9874513565
> blog: www.blissprofound.blogspot.com
> 
>
> Volunteer , Padakshep
> www.padakshep.org 
>
>
> --
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. $5K grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
>
>
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

--

Steven Boada

Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@physics.tamu.edu

--
Own the Future-Intel® Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game 
on Steam. $5K grand prize plus 10 genre and skill prizes. 
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
___
Matplotlib-users mailing list
Matplotlib-users@

Re: [Matplotlib-users] Trouble with legend and axis scaling

2013-03-27 Thread Hackstein

Sterling,

I'm using matplotlib version 1.2.0 with agg backend.

Here are two code examples, one for each problem. The first one doesn't save 
the figure due to the legend problem, seterr causes the script to stop with an 
error at that position.
The second example shows the scientific labels on the y-axis, although it 
should be disabled in the code. I can't get the y-axis to display plain labels. 

First example:
[code]
import numpy as np
np.seterr(all='raise')
import matplotlib.pyplot as plt

x_i = [11.7574075935, 11.66520713579, 11.6762413105, 11.6580992311, 
11.65636838851]
x_r = []
dates = [2.83611000e-01,   2.69330463e+02,   2.70280648e+02,   2.71359248e+02,  
 2.72320822e+02]

diff = 0.16
ra = [0., 110.5349726]
dec = [0., -16.1061281]
med_i = np.median(x_i)
med_r = np.median(x_r)

plt.figure("i_only", figsize=(14.40, 9.00), dpi=100)
if x_r == []:
   plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
   plt.title('i_mag', fontsize='16')
else:
   plt.plot(dates, np.asarray(x_r), 'g-', label = 'r_s')
   plt.plot(dates, np.asarray(x_i), 'r-', label = 'i_s')
   plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
   tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
   tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)

if x_r == []:
   plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
  numpoints=1, ncol=2, borderaxespad=0.)
else:
   plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
  numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close("i_only")
[/code]

Second example:
[code]
import numpy as np
import matplotlib.pyplot as plt

y_i = [11.1044563514, 11.1228276748, 11.1361234115, 11.1298162168, 
11.12513415219]
y_r = [11.14866716899, 11.10194503, 11.11235246531, 11.11168787179, 
11.1214449011]
dates_i = [2.83611000e-01,   2.69330463e+02, 2.70280648e+02,   2.72320822e+02, 
2.73250579e+02]
dates_r = [311.28215,   324.25844,   325.25194,   330.20983,   338.21356]

diff = 0.16
ra = [112.5379659, 110.5349726]
dec = [ -15.9841039, -16.1061281]
med_i = np.median(y_i)
med_r = np.median(y_r)

plt.figure("i_only", figsize=(14.40, 9.00), dpi=100)
if y_r == []:
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
else:
plt.plot(dates_r, np.asarray(y_r), 'g-', label = 'r_s')
plt.plot(dates_i, np.asarray(y_i), 'r-', label = 'i_s')
plt.title('i_mag', fontsize='16')
plt.rcParams['xtick.major.pad']=10
plt.rcParams['ytick.major.pad']=10
ax = plt.gca()
ax.title.set_y(1.1)
formy = plt.ScalarFormatter()
formy.set_powerlimits((-5, 5))
formy.set_scientific(False)
ax.yaxis.set_major_formatter(formy)
ax.set_ylim(ax.get_ylim()[::-1])
for tick in ax.xaxis.get_major_ticks():
tick.label.set_fontsize(16)
for tick in ax.yaxis.get_major_ticks():
tick.label.set_fontsize(16)
plt.xlabel('Days', fontsize='20', labelpad=20)
plt.ylabel('normalized magnitude / mag', fontsize='20', labelpad=20)

if y_r == []:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
   numpoints=1, ncol=2, borderaxespad=0.)
else:
plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand',
   numpoints=1, ncol=2, borderaxespad=0.)
leg = plt.gca().get_legend()
ltext = leg.get_texts()
plt.setp(ltext, fontsize='16')
plt.savefig('lc0.png', facecolor='white', bbox_inches='tight')
plt.close("i_only") 
[/code]

Best regards,

frix


Am 26.03.2013 um 20:36 schrieb Sterling Smith :

> Frix,
> 
> It may be useful to post the version and backend you are using to the list.
> 
> import matplotlib
> print matplotlib.__version__
> print matplotlib.get_backend()
> 
> Also, if you can format the code as a simple self-contained example, that 
> would help others confirm what you are seeing.
> 
> -Sterling
> 
> On Mar 26, 2013, at 12:01PM, Hackstein wrote:
> 
>> Hello everyone,
>> 
>> I have two issues with my current projects:
>> 
>> 1)  I automatically generate plots of several data sets in a for-loop, all 
>> of which have the same shape of x and y values, but some of which have two 
>> of those data (i.e. graphs) sets per figure, others have only one.
>> I create the legend by
>> 
>> plt.legend(bbox_to_anchor=(0., 1.02, 1., 0.102), loc=3, mode='expand', 
>> numpoints=1, borderaxespad=0.)
>> 
>> which works perfectly if I plot two data sets (and therefore two labels) in 
>> a figure, but sometimes (not always) causes an error, if

Re: [Matplotlib-users] set_scale and set_xscale

2013-03-27 Thread Benjamin Root

On Wed, Mar 27, 2013 at 1:03 AM, Gökhan Sever  wrote:

> Hello,
>
> Aren't these two log scaling calls supposed to be performing the same
> action?
>
> Here is a simple script tested in ipython --pylab
>
> fig = plt.figure(figsize=(5, 5))
> ax1 = fig.add_subplot(1,1,1)
> ax1.plot(np.random.randn(100))
>
> ax1.xaxis.set_scale('log')
> ax1.set_xscale('log')
>
>
Intuitively, I guess they should be identical, but they don't seem to be.
It seems like for "ax1.xaxis.set_scale('log')", everything is set
correctly, except the projection.

Ben Root
--
Own the Future-Intel® Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game 
on Steam. $5K grand prize plus 10 genre and skill prizes. 
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___
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[Matplotlib-users] ANN: matplotlib 1.2.1 release

2013-03-27 Thread Michael Droettboom

I'm pleased to announce the release of matplotlib 1.2.1.  This is a bug 
release and improves stability and quality over the 1.2.0 release from 
four months ago.  All users on 1.2.0 are encouraged to upgrade.


Since github no longer provides download hosting, our tarballs and 
binaries are back on SourceForge, and we have a master index of 
downloads here:


http://matplotlib.org/downloads 

Highlights include:

- Usage of deprecated APIs in matplotlib are now displayed by default on 
all Python versions
- Agg backend: Cleaner rendering of rectilinear lines when snapping to 
pixel boundaries, and fixes rendering bugs when using clip paths

- Python 3: Fixes a number of missed Python 3 compatibility problems
- Histograms and stacked histograms have a number of important bugfixes
- Compatibility with more 3rd-party TrueType fonts
- SVG backend: Image support in SVG output is consistent with other backends
- Qt backend: Fixes leaking of window objects in Qt backend
- hexbin with a log scale now works correctly
- autoscaling works better on 3D plots
- ...and numerous others.

Enjoy!  As always, there are number of good ways to get help with 
matplotlib listed on the homepage at http://matplotlib.org/ and I thank 
everyone for their continued support of this project.


Mike Droettboom
--
Own the Future-Intel® Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game 
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Re: [Matplotlib-users] Plotting from datafile

2013-03-27 Thread Alexander Eberspaecher

On Wed, 27 Mar 2013 14:02:58 +0530
Sayan Chatterjee  wrote:

> I'm new to Matplotlib. It might be a silly question, how does one plot
> data(not functions) in Matplotlib.

Besides the solution given in the first reply, you may also check
https://github.com/dmcdougall/mpl_binutils

Regards

Alex

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Re: [Matplotlib-users] Plotting from datafile

2013-03-27 Thread Sayan Chatterjee

Thank you very much for your prompt reply.

Florian,  your reply seems to be the answer to my question. I'll try it
out. If can't figure out,I'll get back to you.


On 27 March 2013 15:37, Florian M. Wagner  wrote:

>  Hey Sayan,
>
> for reading in simple ASCII-Files containing your two arrays you should
> have a look at the numpy.loadtxt function.
>
> Scatter plots in matplotlib are then easily created as shown here
> http://matplotlib.org/examples/pylab_examples/scatter_demo.html
>
> For your purpose you can do something like:
>
> import os
> import numpy as np
> import matplotlib.pyplot as plt
>
> for file in os.path.listdir():
> x, y = np.loadtxt(file, unpack=True)
> plt.scatter(x,y)
> plt.savefig(file + '.png')
>
>  Cheers,
>
> Florian
>
>
> Am 27.03.2013 09:32, schrieb Sayan Chatterjee:
>
> Dear All,
>
> I'm new to Matplotlib. It might be a silly question, how does one plot
> data(not functions) in Matplotlib.
>
>  How:
>  1)Two arrays (X and Y) can be plotted in a scatter diagram?
>
>  2) or a number of data files can used to produce different plots having
> different(sequential) name?
>
>  Thanks in anticipation.
> Regards,
> Sayan
>
>  --
>
>
>  --
> *Sayan  Chatterjee*
> Dept. of Physics and Meteorology
>  IIT Kharagpur
> Lal Bahadur Shastry Hall of Residence
> Room AB 205
> Mob: +91 9874513565
> blog: www.blissprofound.blogspot.com
>
> Volunteer , Padakshep
> www.padakshep.org
>
>
> --
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. $5K grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
>
>
>
> ___
> Matplotlib-users mailing 
> listMatplotlib-users@lists.sourceforge.nethttps://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
>
> --
> Own the Future-Intel® Level Up Game Demo Contest 2013
> Rise to greatness in Intel's independent game demo contest.
> Compete for recognition, cash, and the chance to get your game
> on Steam. $5K grand prize plus 10 genre and skill prizes.
> Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>


-- 


--
*Sayan  Chatterjee*
Dept. of Physics and Meteorology
IIT Kharagpur
Lal Bahadur Shastry Hall of Residence
Room AB 205
Mob: +91 9874513565
blog: www.blissprofound.blogspot.com

Volunteer , Padakshep
www.padakshep.org
--
Own the Future-Intel® Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game 
on Steam. $5K grand prize plus 10 genre and skill prizes. 
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___
Matplotlib-users mailing list
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Re: [Matplotlib-users] Plotting from datafile

2013-03-27 Thread Florian M. Wagner


Hey Sayan,

for reading in simple ASCII-Files containing your two arrays you should 
have a look at the numpy.loadtxt function.


Scatter plots in matplotlib are then easily created as shown here 
http://matplotlib.org/examples/pylab_examples/scatter_demo.html


For your purpose you can do something like:

   import os
   import numpy as np
   import matplotlib.pyplot as plt

   for file in os.path.listdir():
x, y = np.loadtxt(file, unpack=True)
plt.scatter(x,y)
plt.savefig(file + '.png')

Cheers,

Florian


Am 27.03.2013 09:32, schrieb Sayan Chatterjee:

Dear All,

I'm new to Matplotlib. It might be a silly question, how does one plot 
data(not functions) in Matplotlib.


How:
1)Two arrays (X and Y) can be plotted in a scatter diagram?

2) or a number of data files can used to produce different plots 
having different(sequential) name?


Thanks in anticipation.
Regards,
Sayan

--


--
*Sayan  Chatterjee*
Dept. of Physics and Meteorology
IIT Kharagpur
Lal Bahadur Shastry Hall of Residence
Room AB 205
Mob: +91 9874513565
blog: www.blissprofound.blogspot.com 



Volunteer , Padakshep
www.padakshep.org 


--
Own the Future-Intel® Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game
on Steam. $5K grand prize plus 10 genre and skill prizes.
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d


___
Matplotlib-users mailing list
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https://lists.sourceforge.net/lists/listinfo/matplotlib-users


--
Own the Future-Intel® Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game 
on Steam. $5K grand prize plus 10 genre and skill prizes. 
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___
Matplotlib-users mailing list
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[Matplotlib-users] Plotting from datafile

2013-03-27 Thread Sayan Chatterjee

Dear All,

I'm new to Matplotlib. It might be a silly question, how does one plot
data(not functions) in Matplotlib.

How:
1)Two arrays (X and Y) can be plotted in a scatter diagram?

2) or a number of data files can used to produce different plots having
different(sequential) name?

Thanks in anticipation.
Regards,
Sayan

-- 


--
*Sayan  Chatterjee*
Dept. of Physics and Meteorology
IIT Kharagpur
Lal Bahadur Shastry Hall of Residence
Room AB 205
Mob: +91 9874513565
blog: www.blissprofound.blogspot.com

Volunteer , Padakshep
www.padakshep.org
--
Own the Future-Intel® Level Up Game Demo Contest 2013
Rise to greatness in Intel's independent game demo contest.
Compete for recognition, cash, and the chance to get your game 
on Steam. $5K grand prize plus 10 genre and skill prizes. 
Submit your demo by 6/6/13. http://p.sf.net/sfu/intel_levelupd2d___
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

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