. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 4.5 Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 CHAPTER TWO INSTALLATION You have the option to install an official release or to build the development version. If you choose to install from source and are running Windows, you will have to ensure userbase has shrunk significantly. Continuing Python 2.4 support will require either monetary development support or someone contributing to the project to maintain compatibility. 2.2 Binary installers

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 4.5 Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 CHAPTER TWO INSTALLATION You have the option to install an official release or to build the development version. If you choose to install from source and are running Windows, you will have to ensure userbase has shrunk significantly. Continuing Python 2.4 support will require either monetary development support or someone contributing to the project to maintain compatibility. 2.2 Binary installers

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 4.5 Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 CHAPTER TWO INSTALLATION You have the option to install an official release or to build the development version. If you choose to install from source and are running Windows, you will have to ensure userbase has shrunk significantly. Continuing Python 2.4 support will require either monetary development support or someone contributing to the project to maintain compatibility. 2.2 Binary installers

pandas: powerful Python data analysis toolkit Release 0.12.0 Wes McKinney & PyData Development Team January 31, 2014 CONTENTS 1 What’s New 3 1.1 v0.12.0 (July 24, 2013) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.5 Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 pandas 0.8.0 now requires at least NumPy 1.6. It has been tested and verified to work with the development version (1.7+) of NumPy as well which includes some significant user-facing API changes. NumPy

pandas: powerful Python data analysis toolkit Release 0.13.1 Wes McKinney & PyData Development Team February 03, 2014 CONTENTS 1 What’s New 3 1.1 v0.13.1 (February 3, 2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 4.5 Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 pandas 0.8.0 now requires at least NumPy 1.6. It has been tested and verified to work with the development version (1.7+) of NumPy as well which includes some significant user-facing API changes. NumPy

pandas: powerful Python data analysis toolkit Release 0.14.0 Wes McKinney & PyData Development Team May 30, 2014 CONTENTS 1 What’s New 3 1.1 v0.14.0 (May 31 , 2014) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 4.5 Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 pandas 0.8.0 now requires at least NumPy 1.6. It has been tested and verified to work with the development version (1.7+) of NumPy as well which includes some significant user-facing API changes. NumPy

pandas: powerful Python data analysis toolkit Release 0.17.0 Wes McKinney & PyData Development Team October 09, 2015 CONTENTS 1 What’s New 3 1.1 v0.17.0 (October 9, 2015) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 5.5 Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246 See here • Development installed versions of pandas will now have PEP440 compliant version strings (GH9518) 3 pandas: powerful Python data analysis toolkit, Release 0.17.0 • Development support for

pandas: powerful Python data analysis toolkit Release 0.20.3 Wes McKinney & PyData Development Team Jul 07, 2017 CONTENTS 1 What’s New 3 1.1 v0.20.3 (July 7, 2017) . . . . . . . . . . . . . . . pandas.plotting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 1.3.3.5 Other Development Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 1.3.4 Deprecations . . . Downcast values to smallest possible dtype in to_numeric . . . . . . . . . . . . 63 1.6.1.12 pandas development API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 1.6.1.13 Other enhancements

pandas: powerful Python data analysis toolkit Release 0.20.2 Wes McKinney & PyData Development Team Jun 04, 2017 CONTENTS 1 What’s New 3 1.1 v0.20.2 (June 4, 2017) . . . . . . . . . . . . . . . pandas.plotting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.2.3.5 Other Development Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.2.4 Deprecations . . . Downcast values to smallest possible dtype in to_numeric . . . . . . . . . . . . 61 1.5.1.12 pandas development API . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 1.5.1.13 Other enhancements

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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 4.5 Development Team . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 pandas 0.8.0 now requires at least NumPy 1.6. It has been tested and verified to work with the development version (1.7+) of NumPy as well which includes some significant user-facing API changes. NumPy