2011) . . . . . . . . . . . . . . . . . . . . . . . . 95 2 Installation 97 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 2.2 Binary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 i 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 4 Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata

2011) . . . . . . . . . . . . . . . . . . . . . . . . 122 2 Installation 125 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125 2.2 Binary data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 4 Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata

2011) . . . . . . . . . . . . . . . . . . . . . . . . 63 2 Installation 65 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 2.2 Binary data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.4 Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.

2011) . . . . . . . . . . . . . . . . . . . . . . . . 166 2 Installation 169 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 2.2 Installing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 4 Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata

2011) . . . . . . . . . . . . . . . . . . . . . . . . 160 2 Installation 163 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 2.2 Installing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 4 Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.3.1.5 Better support for compressed URLs in read_csv . . . . . . . . . . . . . . . . . 13 1.3.1.6 Pickle file I/O now now supports compression . . . . . . . . . . . . . . . . . . . . . . . 13 1.3.1.7 UInt64 Support Improved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.3.1.8 GroupBy on Categoricals dtypes will not automatically upcast . . . . . . . . . . . . 27 1.3.2.8 Pandas Google BigQuery support has moved . . . . . . . . . . . . . . . . . . . . . 27 1.3.2.9 Memory Usage for Index is more Accurate

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 1.5.1.5 Better support for compressed URLs in read_csv . . . . . . . . . . . . . . . . . 42 1.5.1.6 Pickle file I/O now now supports compression . . . . . . . . . . . . . . . . . . . . . . . 42 1.5.1.7 UInt64 Support Improved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 1.5.1.8 GroupBy on Categoricals dtypes will not automatically upcast . . . . . . . . . . . . 56 1.5.2.8 Pandas Google BigQuery support has moved . . . . . . . . . . . . . . . . . . . . . 56 1.5.2.9 Memory Usage for Index is more Accurate

Enhancements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.2.1.5 Better support for compressed URLs in read_csv . . . . . . . . . . . . . . . . . 11 1.2.1.6 Pickle file I/O now now supports compression . . . . . . . . . . . . . . . . . . . . . . . 12 1.2.1.7 UInt64 Support Improved . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.2.1.8 GroupBy on Categoricals dtypes will not automatically upcast . . . . . . . . . . . . 25 1.2.2.8 Pandas Google BigQuery support has moved . . . . . . . . . . . . . . . . . . . . . 26 1.2.2.9 Memory Usage for Index is more Accurate

2011) . . . . . . . . . . . . . . . . . . . . . . . . 221 2 Installation 223 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223 2.2 Installing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 5.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 5 Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata

time-series aware . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 read_csv has improved support for duplicate column names . . . . . . . . . . . . . . . . . 9 read_csv supports parsing Categorical . . . . . . . . . . . . . . . . . . . . . 101 Support for SAS XPORT files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 Support for Math Functions in .eval() . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288 1.19.5 Updated PyTables Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290 1.19.6 N Dimensional Panels