. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly 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

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 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 The result is a pandas.Timedelta object, similar to datetime.timedelta from the standard Python library and defining a time duration. The various time concepts supported by pandas are explained in the

BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the Package overview for more detail about what’s in the library. CONTENTS it does provide the same interface as any extension array defined in pandas or by a third-party library. In [23]: ser = pd.Series([1, 2, 3]) In [24]: ser.array Out[24]: [1, 2, 3] (continues Cloud Storage via the gcsfs library (GH19454, GH23094) • DataFrame.to_gbq() and read_gbq() signature and documentation updated to reflect changes from the Pandas-GBQ library version 0.8.0. Adds a credentials

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 Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly 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

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 Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly 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

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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