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I'm using
import matplotlib as mpl
mpl.use ('pdf')
from matplotlib.backends.backend_pdf import PdfPages
...
 self.pdf = PdfPages(file_name)
...
 self.pdf.savefig (self.fig)
 plt.close()
...
pdf.close()
This works fine, but now I want to try pgf.
If I add:
from matplotlib.backends.backend_pgf import FigureCanvasPgf 
mpl.backend_bases.register_backend('pdf', FigureCanvasPgf) 
at the beginning, then it chokes on the savefig (self.fig):
Traceback (most recent call last):
 File "./plot_stuff2.py", line 362, in <module>
 the_plot.finish (args, opt, time, res)
 File "./plot_stuff2.py", line 157, in finish
 self.pdf.savefig (self.fig)
 File "/home/nbecker/.local/lib/python2.7/site-
packages/matplotlib/backends/backend_pdf.py", line 2297, in savefig
 figure.savefig(self, format='pdf', **kwargs)
 File "/home/nbecker/.local/lib/python2.7/site-packages/matplotlib/figure.py", 
line 1421, in savefig
 self.canvas.print_figure(*args, **kwargs)
 File "/home/nbecker/.local/lib/python2.7/site-
packages/matplotlib/backend_bases.py", line 2220, in print_figure
 **kwargs)
 File "/home/nbecker/.local/lib/python2.7/site-
packages/matplotlib/backend_bases.py", line 2060, in _print_method
 return print_method(*args, **kwargs)
 File "/home/nbecker/.local/lib/python2.7/site-
packages/matplotlib/backends/backend_pgf.py", line 869, in print_pdf
 raise ValueError("filename must be a path or a file-like object")
ValueError: filename must be a path or a file-like object
I know I had this working some time in the past, what's the trick to making 
multi-page pdf with pgf?

Thanks Ben. I had tried turning off the shading but that makes it
impossible to see the features of the surface. I ended up combining the
surface values and resampling with scipy.interpolate.griddata so that I
have a single surface.
Derek
On Fri, Dec 6, 2013 at 12:23 PM, Benjamin Root <ben...@ou...> wrote:
> Shading is a bit complicated in plot_surface(). In your particular case,
> it is simply shading based on the results of calculating the normal vector
> of each facet on the surface. It then normalizes the shading it has to do
> based on what it has to get the full dynamic. This is why your image looks
> the way it does (plus, there might be an issue where the normals for one of
> your pieces is pointed inward instead of outward, probably due to the order
> of the datapoints for the surface).
>
> You can turn off shading altogether by simply passing shade=False as a
> keyword argument to plot_surface().
>
> I hope that helps!
> Ben Root
>
>
>
> On Fri, Dec 6, 2013 at 12:43 PM, Derek Thomas <der...@gm...>wrote:
>
>> I have a surface that is defined in four distinct sections. The sections
>> are continuous and at least C^1 smooth at the interface. When I plot this
>> in 3D with matplotlib, each section is shaded differently. Is it possible
>> to make the shading uniform? I have attached a figure. The main goal is
>> to make this look like one continuous surface. Thanks,
>>
>> Derek
>>
>>
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