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

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.2.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 34 1.2.3.1 Modules Privacy Has 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 Support for S3 handling now uses s3fs, see here • Google BigQuery support now uses the pandas-gbq library, see here Warning: Pandas has changed the internal structure and layout of the codebase. This can

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.3.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 35 1.3.3.1 Modules Privacy Has 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 Support for S3 handling now uses s3fs, see here • Google BigQuery support now uses the pandas-gbq library, see here Warning: Pandas has changed the internal structure and layout of the codebase. This can

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 indexer array, coerce that array to a “platform int”, so that it can be directly used in 3rd party library operations like numpy.take. Previously, a platform int was defined as np.int_ which corresponds to class has been removed (GH13778) • The pd.sandbox module has been removed in favor of the external library pandas-qt (GH13670) • The pandas.io.data and pandas.io.wb modules are removed in favor of the pandas-datareader

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 indexer array, coerce that array to a “platform int”, so that it can be directly used in 3rd party library operations like numpy.take. Previously, a platform int was defined as np.int_ which corresponds to class has been removed (GH13778) • The pd.sandbox module has been removed in favor of the external library pandas-qt (GH13670) • The pandas.io.data and pandas.io.wb modules are removed in favor of the pandas-datareader

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63 1.5.3 Reorganization of the library: Privacy Changes . . . . . . . . . . . . . . . . . . . . . . . . 64 1.5.3.1 Modules Privacy Has 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 such as datetime with timezones. This functionality depends on either the pyarrow or fastparquet library. For more details, see see the IO docs on Parquet. 8 Chapter 1. What’s New pandas: powerful Python

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 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

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 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

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 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)

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 3.4.3 HDF5 reading / writing pyxlsb 1.0.6 Reading for xlsb files qtpy Clipboard I/O s3fs 0.4.0 Amazon S3 access tabulate 0.8.3 Printing in Markdown-friendly format (see tabulate) xarray 0.8.2 pandas-like objects. In pandas we call these datetime objects similar to datetime. datetime from the standard library as pandas.Timestamp. Note: As many data sets do contain datetime information in one of the columns