pandas: powerful Python data analysis toolkit Release 0.19.0 Wes McKinney & PyData Development Team Oct 02, 2016 CONTENTS 1 What’s New 3 1.1 v0.19.0 (October 2, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Series.tolist() will now return Python types . . . . . . . . . . . . . . . . . . . . . . 18 Series operators for different indexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320 2 Installation 321 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pandas: powerful Python data analysis toolkit Release 0.19.1 Wes McKinney & PyData Development Team Nov 03, 2016 CONTENTS 1 What’s New 3 1.1 v0.19.1 (November 3, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Series.tolist() will now return Python types . . . . . . . . . . . . . . . . . . . . . . 19 Series operators for different indexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321 2 Installation 323 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 1.6.2.1 Series.tolist() will now return Python types . . . . . . . . . . . . . . . . . 67 1.6.2.2 Series operators for different indexes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369 2 Installation 371 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pandas: powerful Python data analysis toolkit Release 1.4.2 Wes McKinney and the Pandas Development Team Apr 02, 2022 CONTENTS 1 Getting started 3 1.1 Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 933 2.22.4 Setting startup options in Python/IPython environment . . . . . . . . . . . . . . . . . . . . 934 2.22.5 Frequently used options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2849 4.12.2 Python support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2849 4

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) . . . . . . . . . . . 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 95 2 Installation 97 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 560 24 rpy2 / R interface 561 24.1 Transferring R data sets into Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 561 24.2 Converting DataFrames

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) . . . . . . . . . . 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 166 2 Installation 169 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 6.4 Practical data analysis with Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 6.5 Excel charts with

pandas: powerful Python data analysis toolkit Release 1.0.5 Wes McKinney and the Pandas Development Team Jun 17, 2020 CONTENTS 1 Getting started 3 1.1 Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 807 2.17.3 Setting startup options in Python/IPython environment . . . . . . . . . . . . . . . . . . . . 808 2.17.4 Frequently Used Options Policy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2384 4.7.2 Python Support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2385 4

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: structures and data analysis tools for the Python programming language. See the overview for more detail about whats in the library. CONTENTS 1 pandas: powerful Python data analysis toolkit, Release 0.25.3 a full changelog including other versions of pandas. Note: Pandas 0.25.2 adds compatibility for Python 3.8 (GH28147). 1.1 Bug fixes 1.1.1 Indexing • Fix regression in DataFrame.reindex() not following

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) . . . . . . . . . . . . . 25 - October 9, 2011) . . . . . . . . . . . . . . . . . . . . . . . . 63 2 Installation 65 2.1 Python version support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 428 22 rpy2 / R interface 431 22.1 Transferring R data sets into Python . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431 22.2 Converting DataFrames

pandas: powerful Python data analysis toolkit Release 1.4.4 Wes McKinney and the Pandas Development Team Aug 31, 2022 CONTENTS 1 Getting started 3 1.1 Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 933 2.22.4 Setting startup options in Python/IPython environment . . . . . . . . . . . . . . . . . . . . 934 2.22.5 Frequently used options . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2851 4.12.2 Python support . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2851 4