extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595 21.2 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 599 time in learning about NumPy first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release variable that is not a column you must still refer to it with the ’@’ prefix. – You can have an expression like df.query(’@a < a’) with no complaints from pandas about am- biguity of the name a. – The

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 865 26.3 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 867 time in learning about NumPy first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release analysis toolkit, Release 0.17.0 • Development support for benchmarking with the Air Speed Velocity library (GH8361) • Support for reading SAS xport files, see here • Documentation comparing SAS to pandas

extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 745 25.2 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 749 time in learning about NumPy first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release days 00:00:00’, ..., ’2 days 00:00:02’] Length: 4, Freq: None Constructing a TimedeltaIndex with a regular range In [24]: timedelta_range(’1 days’,periods=5,freq=’D’) Out[24]:

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extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 731 25.2 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 735 time in learning about NumPy first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release days 00:00:00’, ..., ’2 days 00:00:02’] Length: 4, Freq: None Constructing a TimedeltaIndex with a regular range In [24]: timedelta_range(’1 days’,periods=5,freq=’D’) Out[24]:

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 1.5.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 64 1.5.3.1 Modules Privacy Has . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 743 15.5.6 String/Regular Expression Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . 744 15.5.7 Numeric Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1149 26.3 Expression Evaluation via eval() . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1149

extensions for pandas) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 535 21.2 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 539 time in learning about NumPy first. See the package overview for more detail about what’s in the library. 2 CONTENTS CHAPTER ONE WHAT’S NEW These are new features and improvements of note in each release for DataFrames Several experimental features are added, including: • new eval/query methods for expression evaluation • support for msgpack serialization • an i/o interface to Google’s BigQuery Their

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.3.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 35 1.3.3.1 Modules Privacy Has . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 713 15.5.6 String/Regular Expression Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . 714 15.5.7 Numeric Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1113 26.3 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1113

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.2.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 34 1.2.3.1 Modules Privacy Has . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 710 15.5.6 String/Regular Expression Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . 712 15.5.7 Numeric Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1111 26.3 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1111

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 640 16.5.6 String/Regular Expression Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . 641 16.5.7 Numeric Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1013 27.3 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1013 . . . . . . . . . . . . . . . . . . . . . . . . . . . 1020 27.3.8 Technical Minutia Regarding Expression Evaluation . . . . . . . . . . . . . . . . . . . . . 1021 28 Sparse data structures 1023 28.1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 642 16.5.6 String/Regular Expression Replacement . . . . . . . . . . . . . . . . . . . . . . . . . . . . 643 xii 16.5.7 Numeric . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1015 27.3 Expression Evaluation via eval() (Experimental) . . . . . . . . . . . . . . . . . . . . . . . . . . . 1015 . . . . . . . . . . . . . . . . . . . . . . . . . . . 1022 27.3.8 Technical Minutia Regarding Expression Evaluation . . . . . . . . . . . . . . . . . . . . . 1023 28 Sparse data structures 1025 28.1