get_tightbbox is a bit experimental feature and it is discouraged for
an ordinary user (maybe the method should not be an public method).
Unless you understand how the internal transformation thing works, I'm
afraid there is not much thing you can do with its return value.
Instead, you should use the savefig function with bbox_inches="tight"
(it actually calls the get_tightbbox method with the proper renderer
for you). For example,
fig.savefig("a.pdf", bbox_inches="tight")
Another approach to eliminate the space is to adjust the subplot
parameters (note that the script you posted does not use Subplot, but
it can be easily modified).
http://matplotlib.sourceforge.net/faq/howto_faq.html?#automatically-make-room-for-tick-labels
-JJ
On Wed, Aug 12, 2009 at 11:35 AM, Damon
McDougall<damon.mcdoug...@gmail.com> wrote:
> Hello all,
>
> So I'm trying to use matplotlib's OO interface (so programming without using
> 'from pylab import *') and found this useful
> page:http://matplotlib.sourceforge.net/leftwich_tut.txt after much googling.
>
> My problem is that, in general, after producing a plot, I would open the
> .pdf produced to find lots of whitespace that I don't want. The reason I
> don't want the whitespace is that I want to include these figures in a latex
> document and I want to maximise space. I did some reading and from what I
> understand, Axes.get_tightbbox() is the correct tool to use to return a
> tight bounding box which I can then use to adjust the Axes limits. Here is
> the code I currently have:
>
>
> import numpy as np
> import matplotlib
>
> fig_width_pt = 483.69687 # figure width in pt as
> returned by \showthe in LaTeX
> inches_per_pt = 1.0/72.27
> golden_ratio = (np.sqrt(5) - 1.0) / 2.0
> fig_width_in = fig_width_pt * inches_per_pt # figure width in inches
> fig_height_in = fig_width_in * golden_ratio # figure height in inches
> fig_dims = [fig_width_in, fig_height_in] # fig dims as a list
>
> matplotlib.use('PDF')
> matplotlib.rc('font',**{'family':'serif','serif':['Computer Modern Roman']})
> matplotlib.rc('text', usetex=True)
> matplotlib.rc('axes', labelsize=10)
> matplotlib.rc('legend', fontsize=10)
> matplotlib.rc('xtick', labelsize=10)
> matplotlib.rc('ytick', labelsize=10)
> matplotlib.rc('font', size=10)
> matplotlib.rc('figure', figsize=fig_dims)
>
> from matplotlib.backends.backend_pdf import FigureCanvasPdf as FigureCanvas
> from matplotlib.figure import Figure
> fig = Figure()
> canvas = FigureCanvas(fig)
> ax.fig_add_axes([0.2, 0.2, 0.5, 0.7])
> ax.hold(True)
> ax.grid(True)
> plot_means = ax.plot(means, 'b', label='$m_k$')
> plot_vars = ax.plot(vars, 'g', label='$\sigma_k^2$')
> plot_ictruth = ax.axhline(y = x_0, xmin = 0, xmax = numtimes, color='r',
> label='$x_0$')
> ax.set_xlabel('$k$')
> ax.legend(loc='upper right')
> tightbox = ax.get_tightbbox()
> canvas.print_pdf(a)
>
> The problem here is that get_tightbbox() takes 2 arguments, namely self and
> renderer. My question is, what is a renderer and how do I instantiate/create
> one? After some reading I think it's something to do with
> maplotlib.backend_bases or something. Am I on the right track? After the
> call I want to adjust the Axes limits to the thing returned by
> get_tightbbox(), would ax.set_position(tightbox) do that here?
>
> Any help would be greatly appreciated.
> Regards,
> --Damon
>
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