FIX: Fixing docs

Author: larsoner

doc/conf.py

@@ -45,7 +45,8 @@
 
 # General information about the project.
 project = u'PySurfer'
-copyright = u'2011-2012, Michael Waskom, Alexandre Gramfort, Scott Burns, Martin Luessi'
+copyright = (u'2011-2013, Michael Waskom, Alexandre Gramfort, Scott Burns, '
+             'Martin Luessi, Eric Larson')
 
 # Generate the plots for the gallery
 plot_gallery = True
@@ -222,5 +223,5 @@
 # (source start file, name, description, authors, manual section).
 man_pages = [
     ('index', 'pysurfer', u'PySurfer Documentation',
-     [u'Michael Waskom, Alexandre Gramfort, Scott Burns'], 1)
+     [u'Michael Waskom, Alexandre Gramfort, Scott Burns, Eric Larson'], 1)
 ]

doc/index.rst

@@ -10,14 +10,14 @@ MRI and MEG data.
 
 PySurfer offers both a command-line interface designed to broadly
 replicate Freesurfer's Tksurfer program as well as a Python library
-for writing scripts to efficiently explore complex datasets. 
+for writing scripts to efficiently explore complex datasets.
 
 Contents
 --------
 
 .. toctree::
     :maxdepth: 2
-    
+
     install
     examples/index.rst
     documentation/index.rst
@@ -33,6 +33,8 @@ Scott Burns, Harvard Med. School MGH Martinos Center
 
 Martin Luessi, Harvard Med. School MGH Martinos Center
 
+Eric Larson, University of Washington ILABS
+
 License
 -------
 

doc/sphinxext/gen_rst.py

@@ -186,14 +186,7 @@ def generate_file_rst(fname, target_dir, src_dir, plot_gallery):
                     plt.savefig(image_file)
 
                 try:
-                    try:
-                        from mayavi import mlab
-                    except ImportError:
-                        from enthought.mayavi import mlab
-
-                    e = mlab.get_engine()
-                    if len(e.scenes) > 0:
-                        mlab.savefig(image_file, size=(400, 400))
+                    brain.save_image(image_file)
                 except:
                     pass
 

examples/plot_meg_inverse_solution.py

@@ -22,7 +22,8 @@
 """
 create Brain object for visualization
 """
-brain = Brain(subject_id, hemi, surface)
+brain = Brain(subject_id, hemi, surface,
+              config_opts=dict(width=800, height=400))
 
 """
 read MNE dSPM inverse solution