<div dir="ltr"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px">Hello,</div><div dir="ltr" style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div class="gmail_quote" style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div dir="ltr" style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><i><br></i></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline">We are proud to announce v0.16.0 of pandas, a major release from 0.15.2. </div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline">This release includes a small number of API changes, several new features,<br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline">enhancements, and performance improvements along with a large number of bug fixes. </div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline">This was 4 months of work by 60 authors encompassing 204 issues.</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline">We recommend that all users upgrade to this version.</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br></div></div><u>Highlights:</u></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><ul><li style></li><li style><span style="line-height:17px"><b>DataFrame.assign</b> method, see <a href="http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-assign">here</a></span><br></li><li style><span style="line-height:17px"><b>Series.to_coo/from_coo</b> methods to interact with <b>scipy.sparse</b>, see <a href="http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-sparse">here</a></span></li><li style><span style="line-height:17px">Backwards incompatible change to <b>Timedelta</b> to conform the <i>.seconds</i> attribute with <i>datetime.timedelta</i>, see <a href="http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-timedelta">here</a></span></li><li style><span style="line-height:17px">Changes to the <i>.loc</i> slicing API to conform with the behavior of <i>.ix</i> see <a href="http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-indexing">here</a></span></li><li style><span style="line-height:17px">Changes to the default for ordering in the <b>Categorical</b> constructor, see <a href="http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api-breaking-categorical">here</a></span></li><li style><span style="line-height:17px">Enhancement to the <i>.str</i> accessor to make string operations easier, see <a href="http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enhancements-string">here</a></span></li><li style><span style="line-height:17px">The <i>pandas.tools.rplot</i>, <i>pandas.sandbox.qtpandas</i> and <i>pandas.rpy</i> </span><span style="line-height:17px">modules are deprecated.  </span></li><li style><span style="line-height:17px">We refer users to external packages like </span><span style="line-height:17px"><a href="http://stanford.edu/~mwaskom/software/seaborn/">seaborn</a>, </span><a href="https://github.com/datalyze-solutions/pandas-qt" style="line-height:17px">pandas-qt</a><span style="line-height:17px"> </span><span style="line-height:17px">and </span><a href="http://rpy.sourceforge.net/" style="line-height:17px">rpy2</a><span style="line-height:17px"> </span><span style="line-height:17px">for similar or equivalent </span><span style="line-height:17px">functionality, see </span><a href="http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#deprecations" style="line-height:17px">here for more detail</a></li></ul><br><br>See a full description of the <a href="http://pandas.pydata.org/pandas-docs/stable/whatsnew.html" target="_blank" rel="nofollow" style="font-family:Arial,Helvetica,sans-serif;font-size:13px;margin:0px;padding:0px;border:0px;vertical-align:baseline;text-decoration:none;color:rgb(102,17,204)">Whatsnew for v0.16.0</a></div></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><span style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-family:Arial,Helvetica,sans-serif"><br></span></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><u style="font-family:arial;font-size:small"><br></u></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><u style="font-family:arial;font-size:small">What is it:</u><br></div></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><i>pandas</i> is a Python package providing fast, flexible, and expressive data<br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px">structures designed to make working with “relational” or “labeled” data both</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px">easy and intuitive. It aims to be the fundamental high-level building block for</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px">doing practical, real world data analysis in Python. Additionally, it has the</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px">broader goal of becoming the most powerful and flexible open source data</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px">analysis / manipulation tool available in any language.</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><br></div></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><br></div>Documentation:<br><a href="http://pandas.pydata.org/pandas-docs/stable/" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;text-decoration:none;color:rgb(102,17,204)">http://pandas.pydata.org/pandas-docs/stable/</a></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline">Source tarballs, windows wheels, macosx wheels are available on PyPI:</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><a href="https://pypi.python.org/pypi/pandas" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;text-decoration:none;color:rgb(102,17,204)">https://pypi.python.org/pypi/pandas</a></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><font face="arial, sans-serif" style="margin:0px;padding:0px;border:0px;vertical-align:baseline">windows binaries are courtesy of </font><span style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-family:'Times New Roman';font-size:medium;color:rgb(0,0,0)"> </span>Christoph Gohlke and are built on Numpy 1.9</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px">macosx wheels are courtesy of Matthew Brett and are built on Numpy 1.7.1</div></div></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br></div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline">Please report any issues here:</div><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><a href="https://github.com/pydata/pandas/issues" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;text-decoration:none;color:rgb(102,17,204)">https://github.com/pydata/pandas/issues</a><br><p style="padding:0px;border:0px;vertical-align:baseline;margin:1em 0px;font-size:13px;font-family:Arial,Helvetica,sans-serif"></p><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline;font-size:13px"><div style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><p style="padding:0px;border:0px;vertical-align:baseline;margin:1em 0px;font-family:Arial,Helvetica,sans-serif"><br></p><p style="padding:0px;border:0px;vertical-align:baseline;margin:1em 0px;font-family:Arial,Helvetica,sans-serif">Thanks</p><p style="padding:0px;border:0px;vertical-align:baseline;margin:1em 0px;font-family:Arial,Helvetica,sans-serif">The Pandas Development Team</p><p style="padding:0px;border:0px;vertical-align:baseline;margin:1em 0px;font-family:Arial,Helvetica,sans-serif"><br></p><div><br></div></div></div></div></div></div></div></div></div>