<div dir="ltr"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px;font-size:13px">Hi,</font><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px;font-size:13px">I'm pleased to announce the availability of the second release candidate of Pandas 0.17.0.</font><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px;font-size:13px">Please try this RC and report any issues here: </font><a href="https://github.com/pydata/pandas/issues/10848" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204);font-size:13px;font-family:verdana,sans-serif">Pandas Issues</a><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px;font-size:13px">We will be releasing officially on October 9.</font><br style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">**RELEASE CANDIDATE 2**</span></p><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="line-height:19.5px">From RC 1 we have:</span><br></p><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px"></span></p><ul><li>compat for <font face="monospace, monospace">Python 3.5</font><br></li><li>compat for <font face="monospace, monospace">matplotlib 1.5.0</font><br></li><li><font face="monospace, monospace">.convert_objects</font> is now restored to the original, and is deprecated</li></ul><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">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.</span></p><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Highlights include:</span></p><p style="margin:1em 0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px"></p><ul style="font-family:Arial,Helvetica,sans-serif;font-size:13px"><li style="line-height:17px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Release the Global Interpreter Lock (GIL) on some cython operations, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-gil" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a></span><br></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Plotting methods are now available as attributes of the .plot accessor, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-plot" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a></span><br></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">The sorting API has been revamped to remove some long-time inconsistencies, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-api-breaking-sorting" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a></span><br></li><li style="line-height:17px"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px">Support for a </font><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">datetime64[ns]</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> with timezones as a first-class dtype, see </font><a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-tz" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204);font-family:verdana,sans-serif">here</a></span><br></li><li style="line-height:17px"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px">The default for </font><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">to_datetime</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> will now be to raise when presented with unparseable formats, previously this would return the original input, see </font><a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-api-breaking-to-datetime" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204);font-family:verdana,sans-serif">here</a></span><br></li><li style="line-height:17px"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px">The default for </font><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">dropna</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> in </font><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">HDFStore</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> has changed to False, to store by default all rows even if they are all NaN, see </font><a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-api-breaking-hdf-dropna" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204);font-family:verdana,sans-serif">here</a></span><br></li><li style="line-height:17px"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px">Support for </font><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">Series.dt.strftime</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> to generate formatted strings for datetime-likes, see </font><a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-strftime" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204);font-family:verdana,sans-serif">here</a></span><br></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Development installed versions of pandas will now have PEP440 compliant version strings <a href="https://github.com/pydata/pandas/issues/9518" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">GH9518</a></span><br></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Development support for benchmarking with the Air Speed Velocity library <a href="https://github.com/pydata/pandas/pull/8316" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">GH8316</a></span><br></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Support for reading SAS xport files, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-enhancements-sas-xport" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a></span><br></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Removal of the automatic TimeSeries broadcasting, deprecated since 0.8.0, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-prior-deprecations" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a></span></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="line-height:19.5px;font-size:small">Display format with plain text can optionally align with Unicode East Asian Width, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0170-east-asian-width">here</a></span></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="line-height:19.5px;font-size:small">Compatibility with Python 3.5 <a href="https://github.com/pydata/pandas/issues/11097">GH11097</a></span></li><li style="line-height:17px;font-family:verdana,sans-serif"><span style="line-height:19.5px;font-size:small">Compatibility with matplotlib 1.5.0 <a href="https://github.com/pydata/pandas/issues/11111">GH11111</a></span></li></ul><div><br></div><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">See the <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">Whatsnew</a> for much more information. </span></p><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Best way to get this is to install via </span><a href="http://pandas-docs.github.io/pandas-docs-travis/install.html#installing-pandas-with-anaconda" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204);line-height:19.5px">conda</a><span style="margin:0px;padding:0px;border:0px;line-height:19.5px"> from our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7, Python 3.4, and Python 3.5 (for osx/linux) are all available.</span><br></p><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:monospace,monospace;line-height:19.5px">conda install pandas -c pandas</span><br></p><p style="margin:1em 0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="margin:0px;padding:0px;border:0px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px">Thanks to all who made this release happen. It is a very large release!</font></span></p><p style="margin:1em 0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="margin:0px;padding:0px;border:0px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px">Je</font></span><span style="margin:0px;padding:0px;border:0px">ff</span></p></div>