. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3025 5.1.1 What’s new in 1.5.0 (??) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3025 5.2 Version . . . . . . . . . . . . . 3053 5.2.1 What’s new in 1.4.4 (July ??, 2022) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3053 5.2.2 What’s new in 1.4.3 (June 23, 2022) . . . . . . . . . . . . . . . . . . . . . . 3062 5.2.3 What’s new in 1.4.2 (April 2, 2022) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3064 5.2.4 What’s new in 1.4.1 (February 12, 2022) . . . . . . . .

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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3.1 New features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1 2, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 1.6.1 New features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 1

toolkit Release 0.21.1 Wes McKinney & PyData Development Team Dec 12, 2017 CONTENTS 1 What’s New 3 1.1 v0.21.1 (December 12, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Restore Matplotlib datetime Converter Registration . . . . . . . . . . . . . . . . . . . . . . 4 1.1.2 New features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.1 27, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.2.1 New features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2

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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.1 New features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 merge_asof Semi-Month Offsets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 New Index methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Google

Team Oct 02, 2016 CONTENTS 1 What’s New 3 1.1 v0.19.0 (October 2, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.1.1 New features . . . . . . . . . . . . . Semi-Month Offsets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 New Index methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Google 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 1.2.1 New features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Custom

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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.2.1 New features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.2 2, 2016) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 1.5.1 New features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 1

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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 7.3 Lessons for New pandas Users . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274 7.4 Practical WHAT’S NEW These are new features and improvements of note in each release. 1.1 v0.17.0 (October 9, 2015) This is a major release from 0.16.2 and includes a small number of API changes, several new features

1 pandas: powerful Python data analysis toolkit, Release 0.25.1 2 CONTENTS CHAPTER ONE WHAT’S NEW IN 0.25.0 (JULY 18, 2019) Warning: Starting with the 0.25.x series of releases, pandas only supports min_height max_height kind cat 9.1 9.5 dog 6.0 34.0 [2 rows x 2 columns] 4 Chapter 1. What’s new in 0.25.0 (July 18, 2019) pandas: powerful Python data analysis toolkit, Release 0.25.1 This type 'abc'], [0, 1, 2, 3]], ...: codes=[[0, 0, 0, 0, 1, 1, 1, 1], [0, 1, 2, 3, 0, 1, 2, 3]]) In the new repr, all values will be shown, if the number of rows is smaller than options.display. max_seq_items

1 pandas: powerful Python data analysis toolkit, Release 0.25.0 2 CONTENTS CHAPTER ONE WHAT’S NEW IN 0.25.0 (JULY 18, 2019) Warning: Starting with the 0.25.x series of releases, pandas only supports recommended alternative to the deprecated behavior when passing a dict to a Series 4 Chapter 1. What’s new in 0.25.0 (July 18, 2019) pandas: powerful Python data analysis toolkit, Release 0.25.0 groupby aggregation 'abc'], [0, 1, 2, 3]], ...: codes=[[0, 0, 0, 0, 1, 1, 1, 1], [0, 1, 2, 3, 0, 1, 2, 3]]) In the new repr, all values will be shown, if the number of rows is smaller than options.display. max_seq_items

1 pandas: powerful Python data analysis toolkit, Release 0.24.0 2 CONTENTS CHAPTER ONE WHAT’S NEW IN 0.24.0 (JANUARY 25, 2019) Warning: The 0.24.x series of releases will be the last to support Python number of API changes, new features, enhancements, and perfor- mance improvements along with a large number of bug fixes. Highlights include: • Optional Integer NA Support • New APIs for accessing the the array backing a Series or Index • A new top-level method for creating arrays • Store Interval and Period data in a Series or DataFrame • Support for joining on two MultiIndexes Check the API Changes