matplotlib-users Mailing List for matplotlib

Hi all,
I use Matplotlib and LaTeX to produce essentially two types of documents;
technical reports for a large corporation and scientific papers.
Thus, I use several LaTeX cls-files which uses different fonts.

What is the most convenient way to get Matplotlib to use the same fonts as
my main document and also to quickly switch between the
different document types?

So far I've tried reading a file with settings specific to the current
document and using "rcParams.update(params)" to dynamically change
the settings. This way I can get the right font for legends and labels, but
I have not figured out how to get correct fonts for the numbers
on the x- and y-axes. Matplotlib uses whatever is default in my LaTeX
installation (Computer Modern?). I use "text.usetex: True".

This must be a problem that I share with others. Does anyone have a good
solution?

Best regards,
Johan

On Sun, Jan 4, 2009 at 10:27 AM, Nitin Bhide <nit...@ya...> wrote:
> I am using figure.legend function to create a legend. See the code line below.
>
> legend = fig.legend(ax.get_lines(), labellist, ncol=4, loc='upper center', prop=fontprop)
>
> However, using the loc='upper center' where legend overlapps the axes title. I also tried the setting loc='lower center'. In this case, figure legend overlapps the x-axis label.
>
> Am I missing some parameter ? How I can place the figure legend below the x-axis label ? Is there a way to place the figure legend below the axes title ?

It always helps if you post complete working examples that illustrate
your problem, then we can modify them to show you how to fix your
problem.  In this case you may want to look at fig.subplots_adjust to
lower the top of your subplot so that the axes title does not overlap
the figure legend::

  fig.subplots_adjust(top=0.8)

JDH

I am using figure.legend function to create a legend. See the code line below.

legend = fig.legend(ax.get_lines(), labellist, ncol=4, loc='upper center', prop=fontprop)

However, using the loc='upper center' where legend overlapps the axes title. I also tried the setting loc='lower center'. In this case, figure legend overlapps the x-axis label. 

Am I missing some parameter ? How I can place the figure legend below the x-axis label ? Is there a way to place the figure legend below the axes title ?

regards,
Nitin

Nitin Bhide
--------------------------------------------------------------------
Never attribute to malice that which can be adequately explained by stupidity
-- Hanlon's razor
*****************************************************************************


      

The recarrays were what csv2rec is returning and that's why I was using it. And this afternoon was the first time I was hearing about red arrays so I was trying to get my stuff done with the wrong tool. I've changed my code to use regular txt file loading and all works great.

Thanks everybody for their help!
Anton  

Sent from my iPhone

On Jan 3, 2009, at 5:00 PM, Ryan May <rm...@gm...> wrote:

Pierre GM wrote:
Note also that you are not limited to recarrays: you can use what's  
called a flexible-type arrays, which still gives the possibility to  
access individual fields by keys, without the overload of recarrays  
(where fields can also be accessed as attributes). For example:
x=np.array([(1,10.), (2,20.)], dtype=[('A',int),('B',float)])
x['A']
array([1, 2])

True, but the problem in this case is that he wants to access by column number,
which you can't really do with recarray or flexible dtype arrays.

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

------------------------------------------------------------------------------
_______________________________________________
Matplotlib-users mailing list
Mat...@li...
https://lists.sourceforge.net/lists/listinfo/matplotlib-users



      

Pierre GM wrote:
> Note also that you are not limited to recarrays: you can use what's  
> called a flexible-type arrays, which still gives the possibility to  
> access individual fields by keys, without the overload of recarrays  
> (where fields can also be accessed as attributes). For example:
>  >>> x=np.array([(1,10.), (2,20.)], dtype=[('A',int),('B',float)])
>  >>>x['A']
> array([1, 2])

True, but the problem in this case is that he wants to access by column number,
which you can't really do with recarray or flexible dtype arrays.

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma