# pandas: powerful Python data analysis toolkit Release 0.19.0 Wes McKinney & PyData Development Team Oct 02,2016 ## What’s New 3 1.1 v0.19.0 (October 2, 2016) 3 1.1.1 New features 5 merge_asof now returns integer dtypes 14 Downcast values to smallest possible dtype in to_numeric 14 pandas development API 14 Other enhancements 15 1.1.2 API changes 18 Series.tolist() will now 23.5 New plotting methods 303 1.23.6 Other API changes 304 1.23.7 Potential porting issues for pandas <= 0.7.3 users 304 1.24 v.0.7.3 (April 12, 2012) 306 1.24.1 New features 306 1.24.2 NA Boolean

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) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.3.2.1 Possible incompatibility for HDF5 formats created with pandas < 0.13.0 . . . . . . 22 i 1.3.2.2 Map on Index types now return other Index types . . . . . . Concat of different float dtypes will not automatically upcast . . . . . . . . . . . . 27 1.3.2.8 Pandas Google BigQuery support has moved . . . . . . . . . . . . . . . . . . . . . 27 1.3.2.9 Memory Usage

# 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 0.21.1 Wes McKinney & PyData Development Team Dec 12, 2017 CONTENTS 1 What’s New 3 1.1 v0.21.1 (December 12, 2017) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 1.5.2.1 Possible incompatibility for HDF5 formats created with pandas < 0.13.0 . . . . . . 51 1.5.2.2 Map on Index types now return other Index types . . . . . . . . Concat of different float dtypes will not automatically upcast . . . . . . . . . . . . 56 1.5.2.8 Pandas Google BigQuery support has moved . . . . . . . . . . . . . . . . . . . . . 56 1.5.2.9 Memory Usage

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) . . . . . . . . . . . . . . . 129 3.2 Adding Features to your Pandas Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 3.3 Migrating from scikits.timeseries to pandas >= 0.8.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 5 10 Minutes to Pandas 141 5.1 Object Creation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

# pandas: powerful Python data analysis toolkit Release 1.4.2 Wes McKinney and the Pandas Development Team Apr 02,2022 # 1 Getting started 3 1.1 Installation 3 1.2 Intro to pandas 3 1.3 Coming Comparison with other tools 61 1.4.5 Community tutorials 147 # 2 User Guide 149 2.1 10 minutes to pandas 149 2.1.1 Object creation 149 2.1.2 Viewing data 151 2.1.3 Selection 153 2.1.4 Missing data 158 Table schema display 943 2.23 Enhancing performance 943 2.23.1 Cython (writing C extensions for pandas) 944 2.23.2 Numba (JIT compilation) 949 2.23.3 Expression evaluation via eval() 951 2.24 Scaling

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) . . . . . . . . . . . 101 3.2 Adding Features to your Pandas Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 3.3 Migrating from scikits.timeseries to pandas >= 0.8.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 5 10 Minutes to Pandas 113 5.1 Object Creation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pandas: powerful Python data analysis toolkit Release 1.3.2 Wes McKinney and the Pandas Development Team Aug 15, 2021 CONTENTS 1 Getting started 3 1.1 Installation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 Intro to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 2 User Guide 145 2.1 10 minutes to pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 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 1.4.4 Wes McKinney and the Pandas Development Team Aug 31, 2022 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