Log Message:
Update py-pandas to 0.17.1.

0.17.1

This is a minor bug-fix release from 0.17.0 and includes a large
number of bug fixes along several new features, enhancements, and
performance improvements. We recommend that all users upgrade to
this version.

Highlights include:

    Support for Conditional HTML Formatting, see here
    Releasing the GIL on the csv reader & other ops, see here
    Fixed regression in DataFrame.drop_duplicates from 0.16.2,
    causing incorrect results on integer values (GH11376)

0.17.0

This is a major release from 0.16.2 and includes a small number of
API changes, several new features, enhancements, and performance
improvements along with a large number of bug fixes. We recommend
that all users upgrade to this version.

Highlights include:

    Release the Global Interpreter Lock (GIL) on some cython
    operations, see here
    Plotting methods are now available as attributes of the .plot
    accessor, see here
    The sorting API has been revamped to remove some long-time
    inconsistencies, see here
    Support for a datetime64[ns] with timezones as a first-class
    dtype, see here
    The default for to_datetime will now be to raise when presented
    with unparseable formats, previously this would return the
    original input. Also, date parse functions now return consistent
    results. See here
    The default for dropna in HDFStore has changed to False, to
    store by default all rows even if they are all NaN, see here
    Datetime accessor (dt) now supports Series.dt.strftime to
    generate formatted strings for datetime-likes, and
    Series.dt.total_seconds to generate each duration of the
    timedelta in seconds. See here
    Period and PeriodIndex can handle multiplied freq like 3D,
    which corresponding to 3 days span. See here
    Development installed versions of pandas will now have PEP440
    compliant version strings (GH9518)
    Development support for benchmarking with the Air Speed Velocity
    library (GH8361)
    Support for reading SAS xport files, see here
    Documentation comparing SAS to pandas, see here
    Removal of the automatic TimeSeries broadcasting, deprecated
    since 0.8.0, see here
    Display format with plain text can optionally align with Unicode
    East Asian Width, see here
    Compatibility with Python 3.5 (GH11097)
    Compatibility with matplotlib 1.5.0 (GH11111)