Backport PR #7106: Changed the display order of rich output in nbconvert html

The notebook rich output display order now matches that of nbconvert.  This makes more sense than the other way around due to the need for the that are notebooks already shared on the web to remain consistent. Conversely local notebooks can simply be edited to match the new order.

IPython/nbconvert/utils/base.py

@@ -1,40 +1,40 b''
 """Global configuration class."""
 #-----------------------------------------------------------------------------
 # Copyright (c) 2013, the IPython Development Team.
 #
 # Distributed under the terms of the Modified BSD License.
 #
 # The full license is in the file COPYING.txt, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Imports
 #-----------------------------------------------------------------------------
 
 from IPython.utils.traitlets import List
 from IPython.config.configurable import LoggingConfigurable
 from IPython.utils.traitlets import Unicode
 
 #-----------------------------------------------------------------------------
 # Classes and functions
 #-----------------------------------------------------------------------------
            
 class NbConvertBase(LoggingConfigurable):
     """Global configurable class for shared config
 
     Useful for display data priority that might be use by many transformers
     """
 
-    display_data_priority = List(['html', 'application/pdf', 'svg', 'latex', 'png', 'jpg', 'jpeg' , 'text'],
+    display_data_priority = List(['html', 'application/pdf', 'latex', 'svg', 'png', 'jpg', 'jpeg', 'text'],
             config=True,
               help= """
                     An ordered list of preferred output type, the first
                     encountered will usually be used when converting discarding
                     the others.
                     """
             )
 
     default_language = Unicode('ipython', config=True, help='default highlight language')
 
     def __init__(self, **kw):
         super(NbConvertBase, self).__init__(**kw)