2011) . . . . . . . . . . . . . . . . . . . . . . . . 221 2 Installation 223 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223 2.2 Installing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 5.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 5 . . . . . . . . . . . . . . . . . . . . . . . 895 30 pandas Ecosystem 897 30.1 Statistics and Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 897 30.2 Visualization

2011) . . . . . . . . . . . . . . . . . . . . . . . . 122 2 Installation 125 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125 2.2 Binary data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 4 . . . . . . . . . . . . . . . . . . . . . . . 622 25 Pandas Ecosystem 623 25.1 Statistics and Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 623 25.2 Visualization

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

time-series aware . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 read_csv has improved support for duplicate column names . . . . . . . . . . . . . . . . . 10 read_csv supports parsing Categorical . . . . . . . . . . . . . . . . . . . . . 103 Support for SAS XPORT files . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 Support for Math Functions in .eval() . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289 1.20.5 Updated PyTables Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291 1.20.6 N Dimensional Panels

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 . . . . . . . . . . . . . . . . . . . . . . . 772 29 pandas Ecosystem 773 29.1 Statistics and Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773 29.2 Visualization

Version | Zipped HTML Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use single threshold, set pd.options.display.min_rows = None. 1.1.5 Json normalize with max_level param support json_normalize() normalizes the provided input dict to all nested levels. The new max_level parameter keywords logy, logx and loglog can now accept the value 'sym' for symlog scaling. (GH24867) • Added support for ISO week year format (‘%G-%V-%u’) when parsing datetimes using to_datetime() (GH16607) • Indexing

Version | Zipped HTML Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use single threshold, set pd.options.display.min_rows = None. 1.1.5 Json normalize with max_level param support json_normalize() normalizes the provided input dict to all nested levels. The new max_level parameter keywords logy, logx and loglog can now accept the value 'sym' for symlog scaling. (GH24867) • Added support for ISO week year format (‘%G-%V-%u’) when parsing datetimes using to_datetime() (GH16607) • Indexing

2011) . . . . . . . . . . . . . . . . . . . . . . . . 160 2 Installation 163 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 2.2 Installing data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 4 . . . . . . . . . . . . . . . . . . . . . . . 758 29 pandas Ecosystem 759 29.1 Statistics and Machine Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 759 29.2 Visualization

2011) . . . . . . . . . . . . . . . . . . . . . . . . 12 2 Installation 15 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.2 Binary data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 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.