. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 1.5.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 64 1.5.3.1 Modules Privacy Has . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1903 34.15.1 Standard moving window functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1903 34.15 core.window.Window.sum . . . . . . . . . . . . . . . . . . . . . . . . . . . 1908 xlii 34.15.2 Standard expanding window functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1908 34.15

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 using specialized Cython take function • Further performance tweaking of Series.__getitem__ for standard use cases • Avoid Index dict creation in some cases (i.e. when getting slices, etc.), regression apply for performance if only need ndarray (GH309) • Added proper, tested weighted least squares to standard and panel OLS (GH303) 14 Chapter 1. What’s New pandas: powerful Python data analysis toolkit,

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.2.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 34 1.2.3.1 Modules Privacy Has . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1635 34.12.1 Standard moving window functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1635 34.12 16pandas.core.window.Window.sum . . . . . . . . . . . . . . . . . . . . . . . . . . . 1640 34.12.2 Standard expanding window functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1640 34.12

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.3.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 35 1.3.3.1 Modules Privacy Has . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1765 34.12.1 Standard moving window functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1766 34.12 16pandas.core.window.Window.sum . . . . . . . . . . . . . . . . . . . . . . . . . . . 1770 34.12.2 Standard expanding window functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1770 34.12

BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the overview for more detail about what’s in the library. CONTENTS matplotlib one. Use pandas.set_option('plotting.backend', '') where library implementing the pandas plotting API (GH14130) • pandas.offsets.BusinessHour supports multiple opening general now pass the call on to the __repr__, if a specific __str__ method doesn’t exist, as is standard for Python. This change is backward compatible for direct usage of Pandas, but if you subclass Pandas

Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming general recommendation is to use the latest version. The following table lists the lowest version per library that is currently being tested throughout the development of pandas. Optional libraries below the Series.data, Index.data (GH20721) • Changed Timedelta.resolution() to match the behavior of the standard library datetime. timedelta.resolution, for the old behavior, use Timedelta.resolution_string() (GH26839)

BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the overview for more detail about what’s in the library. CONTENTS matplotlib one. Use pandas.set_option('plotting.backend', '') where library implementing the pandas plotting API (GH14130) • pandas.offsets.BusinessHour supports multiple opening general now pass the call on to the __repr__, if a specific __str__ method doesn’t exist, as is standard for Python. This change is backward compatible for direct usage of Pandas, but if you subclass Pandas

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 performing multi-threaded computations. A nice example of a library that can handle these types of computation-in-parallel is the dask library. Plot submethods The Series and DataFrame .plot() method

. . . . . . . . . . . . . . . 2185 3.10.1 Standard moving window functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2185 3.10.2 Standard expanding window functions . . . . . . . . Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming import the package. The community agreed alias for pandas is pd, so loading pandas as pd is assumed standard practice for all of the pandas documentation. 1.4. Tutorials 13 pandas: powerful Python data analysis

. . . . . . . . . . . . . . . 2185 3.10.1 Standard moving window functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2185 3.10.2 Standard expanding window functions . . . . . . . . Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming import the package. The community agreed alias for pandas is pd, so loading pandas as pd is assumed standard practice for all of the pandas documentation. 1.4. Tutorials 13 pandas: powerful Python data analysis