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33 changes: 0 additions & 33 deletions doc/source/_templates/autosummary/class.rst

This file was deleted.

9 changes: 5 additions & 4 deletions doc/source/conf.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@

import sys
import os
from pandas.compat import u

# 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
Expand Down Expand Up @@ -63,8 +64,8 @@
master_doc = 'index'

# General information about the project.
project = u'pandas'
copyright = u'2008-2012, the pandas development team'
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
Expand Down Expand Up @@ -211,8 +212,8 @@
# (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'),
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
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12 changes: 1 addition & 11 deletions doc/source/faq.rst
Original file line number Diff line number Diff line change
Expand Up @@ -181,17 +181,7 @@ Frequency conversion

Frequency conversion is implemented using the ``resample`` method on TimeSeries
and DataFrame objects (multiple time series). ``resample`` also works on panels
(3D). Here is some code that resamples daily data to montly with
scikits.timeseries:

.. ipython:: python

import scikits.timeseries as ts
data = ts.time_series(np.random.randn(50), start_date='Jan-2000', freq='M')
data
data.convert('A', func=np.mean)

Here is the equivalent pandas code:
(3D). Here is some code that resamples daily data to montly:

.. ipython:: python

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