text: # -*- coding: utf-8 -*-
  #
  # pandas documentation build configuration file, created by
  #
  # This file is execfile()d with the current directory set to its containing dir.
  #
  # Note that not all possible configuration values are present in this
  # autogenerated file.
  #
  # All configuration values have a default; values that are commented out
  # serve to show the default.
  
  import sys
  import os
  import re
  from pandas.compat import u, PY3
  
  # If extensions (or modules to document with autodoc) are in another directory,
  # add these directories to sys.path here. If the directory is relative to the
  # documentation root, use os.path.abspath to make it absolute, like shown here.
  # sys.path.append(os.path.abspath('.'))
  sys.path.insert(0, os.path.abspath('../sphinxext'))
  
  sys.path.extend([
  
      # numpy standard doc extensions
      os.path.join(os.path.dirname(__file__),
                   '..', '../..',
                   'sphinxext')
  
  ])
  
  # -- General configuration -----------------------------------------------
  
  # Add any Sphinx extension module names here, as strings. They can be extensions
  # coming with Sphinx (named 'sphinx.ext.*') or your custom ones.  sphinxext.
  
  extensions = ['sphinx.ext.autodoc',
                'sphinx.ext.autosummary',
                'sphinx.ext.doctest',
                'sphinx.ext.extlinks',
                'sphinx.ext.todo',
                'numpydoc', # used to parse numpy-style docstrings for autodoc
                'ipython_sphinxext.ipython_directive',
                'ipython_sphinxext.ipython_console_highlighting',
                'sphinx.ext.intersphinx',
                'sphinx.ext.coverage',
                'sphinx.ext.pngmath',
                'sphinx.ext.ifconfig',
                ]
  
  
  
  with open("index.rst") as f:
      index_rst_lines = f.readlines()
  
  # only include the slow autosummary feature if we're building the API section
  # of the docs
  
  # JP: added from sphinxdocs
  autosummary_generate = False
  
  if any([re.match("\s*api\s*",l) for l in index_rst_lines]):
      autosummary_generate = True
  
  files_to_delete = []
  for f in os.listdir(os.path.dirname(__file__)):
      if not f.endswith('.rst') or f.startswith('.') or os.path.basename(f) == 'index.rst':
          continue
  
      _file_basename = f.split('.rst')[0]
      _regex_to_match = "\s*{}\s*$".format(_file_basename)
      if not any([re.match(_regex_to_match, line) for line in index_rst_lines]):
          files_to_delete.append(f)
  
  if files_to_delete:
      print("I'm about to DELETE the following:\n%s\n" % list(sorted(files_to_delete)))
      sys.stdout.write("WARNING: I'd like to delete those to speed up processing (yes/no)? ")
      if PY3:
          answer = input()
      else:
          answer = raw_input()
  
      if answer.lower().strip() in ('y','yes'):
          for f in files_to_delete:
              f = os.path.join(os.path.join(os.path.dirname(__file__),f))
              f= os.path.abspath(f)
              try:
                  print("Deleting %s" % f)
                  os.unlink(f)
              except:
                  print("Error deleting %s" % f)
                  pass
  
  # Add any paths that contain templates here, relative to this directory.
  templates_path = ['../_templates']
  
  # The suffix of source filenames.
  source_suffix = '.rst'
  
  # The encoding of source files.
  source_encoding = 'utf-8'
  
  # The master toctree document.
  master_doc = 'index'
  
  # General information about the project.
  project = u('pandas')
  copyright = u('2008-2014, the pandas development team')
  
  # The version info for the project you're documenting, acts as replacement for
  # |version| and |release|, also used in various other places throughout the
  # built documents.
  #
  # The short X.Y version.
  import pandas
  
  # version = '%s r%s' % (pandas.__version__, svn_version())
  version = '%s' % (pandas.__version__)
  
  # The full version, including alpha/beta/rc tags.
  release = version
  
  # The language for content autogenerated by Sphinx. Refer to documentation
  # for a list of supported languages.
  # language = None
  
  # There are two options for replacing |today|: either, you set today to some
  # non-false value, then it is used:
  # today = ''
  # Else, today_fmt is used as the format for a strftime call.
  # today_fmt = '%B %d, %Y'
  
  # List of documents that shouldn't be included in the build.
  # unused_docs = []
  
  # List of directories, relative to source directory, that shouldn't be searched
  # for source files.
  exclude_trees = []
  
  # The reST default role (used for this markup: `text`) to use for all documents.
  # default_role = None
  
  # If true, '()' will be appended to :func: etc. cross-reference text.
  # add_function_parentheses = True
  
  # If true, the current module name will be prepended to all description
  # unit titles (such as .. function::).
  # add_module_names = True
  
  # If true, sectionauthor and moduleauthor directives will be shown in the
  # output. They are ignored by default.
  # show_authors = False
  
  # The name of the Pygments (syntax highlighting) style to use.
  pygments_style = 'sphinx'
  
  # A list of ignored prefixes for module index sorting.
  # modindex_common_prefix = []
  
  
  # -- Options for HTML output ---------------------------------------------
  
  # The theme to use for HTML and HTML Help pages.  Major themes that come with
  # Sphinx are currently 'default' and 'sphinxdoc'.
  html_theme = 'nature_with_gtoc'
  
  # The style sheet to use for HTML and HTML Help pages. A file of that name
  # must exist either in Sphinx' static/ path, or in one of the custom paths
  # given in html_static_path.
  # html_style = 'statsmodels.css'
  
  # Theme options are theme-specific and customize the look and feel of a theme
  # further.  For a list of options available for each theme, see the
  # documentation.
  # html_theme_options = {}
  
  # Add any paths that contain custom themes here, relative to this directory.
  html_theme_path = ['themes']
  
  # The name for this set of Sphinx documents.  If None, it defaults to
  # "<project> v<release> documentation".
  # html_title = None
  
  # A shorter title for the navigation bar.  Default is the same as html_title.
  # html_short_title = None
  
  # The name of an image file (relative to this directory) to place at the top
  # of the sidebar.
  # html_logo = None
  
  # The name of an image file (within the static path) to use as favicon of the
  # docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
  # pixels large.
  # html_favicon = None
  
  # Add any paths that contain custom static files (such as style sheets) here,
  # relative to this directory. They are copied after the builtin static files,
  # so a file named "default.css" will overwrite the builtin "default.css".
  html_static_path = ['_static']
  
  # If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
  # using the given strftime format.
  # html_last_updated_fmt = '%b %d, %Y'
  
  # If true, SmartyPants will be used to convert quotes and dashes to
  # typographically correct entities.
  # html_use_smartypants = True
  
  # Custom sidebar templates, maps document names to template names.
  # html_sidebars = {}
  
  # Additional templates that should be rendered to pages, maps page names to
  # template names.
  
  # Add redirect for previously existing API pages (which are now included in
  # the API pages as top-level functions) based on a template (GH9911) 
  moved_api_pages = [
      'pandas.core.common.isnull', 'pandas.core.common.notnull', 'pandas.core.reshape.get_dummies',
      'pandas.tools.merge.concat', 'pandas.tools.merge.merge', 'pandas.tools.pivot.pivot_table',
      'pandas.tseries.tools.to_datetime', 'pandas.io.clipboard.read_clipboard', 'pandas.io.excel.ExcelFile.parse',
      'pandas.io.excel.read_excel', 'pandas.io.html.read_html', 'pandas.io.json.read_json',
      'pandas.io.parsers.read_csv', 'pandas.io.parsers.read_fwf', 'pandas.io.parsers.read_table',
      'pandas.io.pickle.read_pickle', 'pandas.io.pytables.HDFStore.append', 'pandas.io.pytables.HDFStore.get',
      'pandas.io.pytables.HDFStore.put', 'pandas.io.pytables.HDFStore.select', 'pandas.io.pytables.read_hdf',
      'pandas.io.sql.read_sql', 'pandas.io.sql.read_frame', 'pandas.io.sql.write_frame',
      'pandas.io.stata.read_stata', 'pandas.stats.moments.ewma', 'pandas.stats.moments.ewmcorr',
      'pandas.stats.moments.ewmcov', 'pandas.stats.moments.ewmstd', 'pandas.stats.moments.ewmvar',
      'pandas.stats.moments.expanding_apply', 'pandas.stats.moments.expanding_corr', 'pandas.stats.moments.expanding_count',
      'pandas.stats.moments.expanding_cov', 'pandas.stats.moments.expanding_kurt', 'pandas.stats.moments.expanding_mean',
      'pandas.stats.moments.expanding_median', 'pandas.stats.moments.expanding_quantile', 'pandas.stats.moments.expanding_skew',
      'pandas.stats.moments.expanding_std', 'pandas.stats.moments.expanding_sum', 'pandas.stats.moments.expanding_var',
      'pandas.stats.moments.rolling_apply', 'pandas.stats.moments.rolling_corr', 'pandas.stats.moments.rolling_count',
      'pandas.stats.moments.rolling_cov', 'pandas.stats.moments.rolling_kurt', 'pandas.stats.moments.rolling_mean',
      'pandas.stats.moments.rolling_median', 'pandas.stats.moments.rolling_quantile', 'pandas.stats.moments.rolling_skew',
      'pandas.stats.moments.rolling_std', 'pandas.stats.moments.rolling_sum', 'pandas.stats.moments.rolling_var']
  
  html_additional_pages = {'generated/' + page: 'api_redirect.html' for page in moved_api_pages}
  
  # If false, no module index is generated.
  html_use_modindex = True
  
  # If false, no index is generated.
  # html_use_index = True
  
  # If true, the index is split into individual pages for each letter.
  # html_split_index = False
  
  # If true, links to the reST sources are added to the pages.
  # html_show_sourcelink = True
  
  # If true, an OpenSearch description file will be output, and all pages will
  # contain a <link> tag referring to it.  The value of this option must be the
  # base URL from which the finished HTML is served.
  # html_use_opensearch = ''
  
  # If nonempty, this is the file name suffix for HTML files (e.g. ".xhtml").
  # html_file_suffix = ''
  
  # Output file base name for HTML help builder.
  htmlhelp_basename = 'pandas'
  
  
  # -- Options for LaTeX output --------------------------------------------
  
  # The paper size ('letter' or 'a4').
  # latex_paper_size = 'letter'
  
  # The font size ('10pt', '11pt' or '12pt').
  # latex_font_size = '10pt'
  
  # Grouping the document tree into LaTeX files. List of tuples
  # (source start file, target name, title, author, documentclass [howto/manual]).
  latex_documents = [
      ('index', 'pandas.tex',
       u('pandas: powerful Python data analysis toolkit'),
       u('Wes McKinney\n\& PyData Development Team'), 'manual'),
  ]
  
  # The name of an image file (relative to this directory) to place at the top of
  # the title page.
  # latex_logo = None
  
  # For "manual" documents, if this is true, then toplevel headings are parts,
  # not chapters.
  # latex_use_parts = False
  
  # Additional stuff for the LaTeX preamble.
  # latex_preamble = ''
  
  # Documents to append as an appendix to all manuals.
  # latex_appendices = []
  
  # If false, no module index is generated.
  # latex_use_modindex = True
  
  
  # Example configuration for intersphinx: refer to the Python standard library.
  intersphinx_mapping = {
      'statsmodels': ('http://statsmodels.sourceforge.net/devel/', None),
      'matplotlib': ('http://matplotlib.org/', None),
      'python': ('http://docs.python.org/', None),
      'numpy': ('http://docs.scipy.org/doc/numpy', None)
  }
  import glob
  autosummary_generate = glob.glob("*.rst")
  
  # extlinks alias
  extlinks = {'issue': ('https://github.com/pydata/pandas/issues/%s',
                        'GH'),
              'wiki': ('https://github.com/pydata/pandas/wiki/%s',
                       'wiki ')}
  
  ipython_exec_lines = [
      'import numpy as np',
      'import pandas as pd',
      # This ensures correct rendering on system with console encoding != utf8
      # (windows). It forces pandas to encode its output reprs using utf8
      # whereever the docs are built. The docs' target is the browser, not
      # the console, so this is fine.
      'pd.options.display.encoding="utf8"'
      ]
  
  
  # Add custom Documenter to handle attributes/methods of an AccessorProperty
  # eg pandas.Series.str and pandas.Series.dt (see GH9322)
  
  from sphinx.util import rpartition
  from sphinx.ext.autodoc import Documenter, MethodDocumenter, AttributeDocumenter
  
  
  class AccessorLevelDocumenter(Documenter):
      """
      Specialized Documenter subclass for objects on accessor level (methods,
      attributes).
      """
  
      # This is the simple straightforward version
      # modname is None, base the last elements (eg 'hour')
      # and path the part before (eg 'Series.dt')
      # def resolve_name(self, modname, parents, path, base):
      #     modname = 'pandas'
      #     mod_cls = path.rstrip('.')
      #     mod_cls = mod_cls.split('.')
      #
      #     return modname, mod_cls + [base]
  
      def resolve_name(self, modname, parents, path, base):
          if modname is None:
              if path:
                  mod_cls = path.rstrip('.')
              else:
                  mod_cls = None
                  # if documenting a class-level object without path,
                  # there must be a current class, either from a parent
                  # auto directive ...
                  mod_cls = self.env.temp_data.get('autodoc:class')
                  # ... or from a class directive
                  if mod_cls is None:
                      mod_cls = self.env.temp_data.get('py:class')
                  # ... if still None, there's no way to know
                  if mod_cls is None:
                      return None, []
              # HACK: this is added in comparison to ClassLevelDocumenter
              # mod_cls still exists of class.accessor, so an extra
              # rpartition is needed
              modname, accessor = rpartition(mod_cls, '.')
              modname, cls = rpartition(modname, '.')
              parents = [cls, accessor]
              # if the module name is still missing, get it like above
              if not modname:
                  modname = self.env.temp_data.get('autodoc:module')
              if not modname:
                  modname = self.env.temp_data.get('py:module')
              # ... else, it stays None, which means invalid
          return modname, parents + [base]
  
  
  class AccessorAttributeDocumenter(AccessorLevelDocumenter, AttributeDocumenter):
  
      objtype = 'accessorattribute'
      directivetype = 'attribute'
  
  
  class AccessorMethodDocumenter(AccessorLevelDocumenter, MethodDocumenter):
  
      objtype = 'accessormethod'
      directivetype = 'method'
  
  
  # remove the docstring of the flags attribute (inherited from numpy ndarray)
  # because these give doc build errors (see GH issue 5331)
  def remove_flags_docstring(app, what, name, obj, options, lines):
      if what == "attribute" and name.endswith(".flags"):
          del lines[:]
  
  def setup(app):
      app.connect("autodoc-process-docstring", remove_flags_docstring)
      app.add_autodocumenter(AccessorAttributeDocumenter)
      app.add_autodocumenter(AccessorMethodDocumenter)
  