Hi Chaitanya (and everyone else),

thanks for some nice advice! The font and legend frame tips worked  
quite well.

I would appreciate it if it was possible to remove the legend frame by  
default, i.e. in the matplotlibrc file, if possible. In my opinion,  
this frame clutters the plot unnecessarily; I rarely see such frames  
in publications.


Thanks!
Paul.


Begin forwarded message:

> From: Chaitanya Krishna <icym...@gmail.com>
> Date: 3. juni 2009 08.26.07 GMT+02:00
> To: Paul Anton Letnes <paul.anton.let...@gmail.com>
> Cc: matplotlib-users@lists.sourceforge.net
> Subject: Re: [Matplotlib-users] making publication quality plots
>
> Hi Paul,
>
> Can you try
> font.size: 10
> legend.fontsize: small [or medium] in your rc file.
>
> Defining the fontsize and then defining the fontsize of the xtick
> labels, legend etc with respect to this font size seems to work better
> than defining everything by hand.
>
> Switching off the legend frame does seem to save some place. You can
> use pylab.legend('your legend').draw_frame(False)
>
> Cheers,
> Chaitanya
>
> On Wed, Jun 3, 2009 at 8:11 AM, Paul Anton Letnes
> <paul.anton.let...@gmail.com> wrote:
>> On 30. mai. 2009, at 13.56, John Hunter wrote:
>>
>>> On Sat, May 30, 2009 at 3:50 AM, Paul Anton Letnes
>>> <paul.anton.let...@gmail.com> wrote:
>>>> Hello again,
>>>>
>>>>
>>>> I can set the figure size and font size, that all works fine.
>>>> However,
>>>> the legend is prohibitively large: for a plot 3 inches wide (why
>>>> doesn't matplotlib use centimeters or similar?), the legend takes  
>>>> up
>>>> about one third of the plot. This does not look too good...
>>>
>>> Please post a complete example.  As for inches vs cm, that is my  
>>> fault
>>> --  I can't remember if it was for matlab compatibility, or due to  
>>> my
>>> provincial ways this side of the pond.
>>>
>>> JDH
>>
>> Hi,
>>
>> This is my function which does the plotting. The "coeffarr" is a 2D
>> array (function uses 7 first columns) with first column being
>> frequencies, other columns being real/imag part of whatever I'm
>> plotting.
>> #################
>> import matplotlib
>> matplotlib.use('ps')
>> import pylab
>> def plot(coeffarr):
>>     'Do the actual plotting.'
>>     nfreqs, ncoeffs = coeffarr.shape
>>     legends = []
>>     for i in range(1, 6, 2): # real part columns
>>         pylab.plot(coeffarr[:,0], coeffarr[:,i], RE_STYLE)
>>         legends.append('l = %i' % int((i + 1) / 2))
>>         pylab.plot(coeffarr[:,0], coeffarr[:,i+1], IM_STYLE)
>>         legends.append('l = %i' % int((i + 1) / 2))
>>     pylab.legend(legends)
>>     pylab.xlabel('Frequency [eV]')
>>     pylab.ylabel('$A_{lm}R^{-l-1}$')
>>     pylab.savefig(PLOTFILE)
>> ####################
>> My matplotlibrc file is essentially this:
>> ####################
>> backend       : MacOSX # added by paulanto on 16. feb. 08
>> numerix      : numpy  # numpy, Numeric or numarray
>> lines.linewidth   : 1.0     # line width in points
>> font.family         : serif
>> font.size           : 10.0
>> text.usetex         : True
>> axes.linewidth      : 1.0     # edge linewidth
>> legend.fontsize      : 10.0
>> figure.figsize   : 3.0, 2.3    # figure size in inches
>> ####################
>>
>> Is this complete enough? If you do the plot, you'll see that the plot
>> is about one column wide (7 cm-ish) and that the legend is relatively
>> large. I made similar size plots in Gnuplot before, at font size 10,
>> but the legend was somehow less dominant.
>>
>> Also, will it help getting rid of the rectangle?
>>
>>
>> cheers,
>> Paul.
>>
>>
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looking to deploy the next generation of Solaris that includes the latest 
innovations from Sun and the OpenSource community. Download a copy and 
enjoy capabilities such as Networking, Storage and Virtualization. 
Go to: http://p.sf.net/sfu/opensolaris-get
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