# pandas: powerful Python data analysis toolkit Release 0.15.1 Wes McKinney & PyData Development Team November 08, 2014 Powered by TCPDF (www.tcpdf.org) ## CONTENTS 1 What's New 3 1.1 v0.15 - October 9, 2011) 160 2 Installation 163 2.1 Python version support 163 2.2 Installing pandas 163 2.3 Dependencies 166 3 Frequently Asked Questions (FAQ) 169 3.1 DataFrame memory usage 4 Credits ..... 178 4.5 Development Team ..... 178 4.6 License ..... 178 5 10 Minutes to pandas ..... 181 5.1 Object Creation ..... 181 5.2 Viewing Data ..... 183 5.3 Selection ..... 184

# pandas: powerful Python data analysis toolkit Release 0.7.1 Wes McKinney November 08, 2012 Powered by TCPDF (www.tcpdf.org) ## CONTENTS 1 What's New 3 1.1 v.0.7.1 (February 29, 2012) 3 1 interface ..... 193 18.1 Transferring R data sets into Python ..... 193 18.2 Calling R functions with pandas objects ..... 194 18.3 High-level interface to R estimators ..... 194 19 Related Python libraries org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer

# pandas: powerful Python data analysis toolkit Release 0.7.3 Wes McKinney November 08, 2012 Powered by TCPDF (www.tcpdf.org) ## CONTENTS 1 What's New 3 1.1 v.0.7.3 (April 12, 2012) 3 1.2 v / R interface 205 18.1 Transferring R data sets into Python 205 18.2 Calling R functions with pandas objects 206 18.3 High-level interface to R estimators 206 19 Related Python libraries 207 org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer

# pandas: powerful Python data analysis toolkit Release 0.25.0 Wes McKinney& PyData Development Team Jul 18, 2019 Date: Jul 18, 2019 Version: 0.25.0 Download documentation: PDF Version | Zipped 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 data structures and WHAT'S NEW IN 0.25.0 (JULY 18, 2019) Warning: Starting with the 0.25.x series of releases, pandas only supports Python 3.5.3 and higher. See Plan for dropping Python 2.7 for more details. Warning:

# pandas: powerful Python data analysis toolkit Release 0.7.2 Wes McKinney November 08, 2012 Powered by TCPDF (www.tcpdf.org) ## CONTENTS 1 What's New 3 1.1 v.0.7.2 (March 16, 2012) 3 1.2 v / R interface 193 18.1 Transferring R data sets into Python 193 18.2 Calling R functions with pandas objects 194 18.3 High-level interface to R estimators 194 19 Related Python libraries 195 org/pypi/pandas Source Repository: http://github.com/pydata/pandas Issues & Ideas: https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer

# pandas: powerful Python data analysis toolkit Release 0.19.1 Wes McKinney & PyData Development Team Nov 03, 2016 Powered by TCPDF (www.tcpdf.org) 1 What's New 3 1.1 v0.19.1 (November 3, 2016) get_dummies now returns integer dtypes 15 Downcast values to smallest possible dtype in to_numeric 15 pandas development API 16 Other enhancements 17 1.2.2 API changes 19 Series.tolist() will now return plotting methods ..... 304 1.24.6 Other API changes ..... 305 1.24.7 Potential porting issues for pandas <= 0.7.3 users ..... 305 1.25 v.0.7.3 (April 12, 2012) ..... 307 1.25.1 New features ....

pandas: powerful Python data analysis toolkit Release 1.3.4 Wes McKinney and the Pandas Development Team Oct 17, 2021 CONTENTS 1 Getting started 3 1.1 Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Intro to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 2 User Guide 149 2.1 10 minutes to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149 2.1.1 Object

pandas: powerful Python data analysis toolkit Release 1.3.3 Wes McKinney and the Pandas Development Team Sep 12, 2021 CONTENTS 1 Getting started 3 1.1 Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Intro to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147 2 User Guide 149 2.1 10 minutes to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149 2.1.1 Object

pandas: powerful Python data analysis toolkit Release 0.15.2 Wes McKinney & PyData Development Team December 11, 2014 CONTENTS 1 What’s New 3 1.1 v0.15.2 (December 12, 2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 2.2 Installing pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 2.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 5 10 Minutes to pandas 187 5.1 Object Creation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pandas: powerful Python data analysis toolkit Release 0.25.3 Wes McKinney& PyData Development Team Nov 02, 2019 CONTENTS i ii pandas: powerful Python data analysis toolkit, Release 0.25.3 Date: 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 data structures and library. CONTENTS 1 pandas: powerful Python data analysis toolkit, Release 0.25.3 2 CONTENTS CHAPTER ONE WHATS NEW IN 0.25.2 (OCTOBER 15, 2019) These are the changes in pandas 0.25.2. See release for