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

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 ActivePython, various Linux distributions, or a development version are also provided. 2.1 Python version support Officially Python 3.5.3 and above, 3.6, 3.7, and 3.8. 2.2 Installing pandas 2.2.1 Installing with inexperienced users. The simplest way to install not only pandas, but Python and the most popular packages that make up the SciPy stack (IPython, NumPy, Matplotlib, ) is with Anaconda, a cross-platform (Linux

2011) . . . . . . . . . . . . . . . . . . . . . . . . 16 2 Installation 19 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.2 Binary data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 4.3 Getting Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 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.

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

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.

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.

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