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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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