Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1113 24.8.8 Notes & Caveats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1114 24 Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2020 37 Release Notes 2023 37.1 pandas 0.21.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively tweaked in Cython

Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1079 24.8.8 Notes & Caveats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1080 24 Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1870 36 Release Notes 1873 36.1 pandas 0.20.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively tweaked in Cython

Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1075 24.8.8 Notes & Caveats . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1076 24 Properties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1738 36 Release Notes 1741 36.1 pandas 0.20.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively tweaked in Cython

that was deprecated in previous releases (see below for an overview). It is recommended to first upgrade to pandas 0.25 and to ensure your code is working without warnings, before upgrading to pandas 1 raise an ImportError when the method requiring that dependency is called. Dependency Minimum Version Notes BeautifulSoup4 4.6.0 HTML parser for read_html (see note) Jinja2 Conditional formatting with DataFrame analysis toolkit, Release 1.0.0 Table 1 – continued from previous page Dependency Minimum Version Notes lxml 3.8.0 HTML parser for read_html (see note) matplotlib 2.2.2 Visualization numba 0.46.0 Alternative

Installation pandas: powerful Python data analysis toolkit, Release 0.25.1 Dependency Minimum Version Notes BeautifulSoup4 4.6.0 HTML parser for read_html (see note) Jinja2 Conditional formatting with DataFrame suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively tweaked in Cython bool boolean datetime64[ns] datetime timedelta64[ns] duration categorical any object str A few notes on the generated table schema: • The schema object contains a pandas_version field. This contains

Installation pandas: powerful Python data analysis toolkit, Release 0.25.0 Dependency Minimum Version Notes BeautifulSoup4 4.6.0 HTML parser for read_html (see note) Jinja2 Conditional formatting with DataFrame suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively tweaked in Cython bool boolean datetime64[ns] datetime timedelta64[ns] duration categorical any object str A few notes on the generated table schema: • The schema object contains a pandas_version field. This contains

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2482 5 Release notes 2483 5.1 Version 1.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . raise an ImportError when the method requiring that dependency is called. Dependency Minimum Version Notes BeautifulSoup4 4.6.0 HTML parser for read_html (see note) Jinja2 Conditional formatting with DataFrame suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits have been extensively tweaked in Cython

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2388 5 Release Notes 2389 5.1 Version 1.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . raise an ImportError when the method requiring that dependency is called. Dependency Minimum Version Notes BeautifulSoup4 4.6.0 HTML parser for read_html (see note) Jinja2 Conditional formatting with DataFrame analysis toolkit, Release 1.0.5 Table 1 – continued from previous page Dependency Minimum Version Notes gcsfs 0.2.2 Google Cloud Storage access html5lib HTML parser for read_html (see note) lxml 3.8

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2384 5 Release Notes 2385 5.1 Version 1.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . raise an ImportError when the method requiring that dependency is called. Dependency Minimum Version Notes BeautifulSoup4 4.6.0 HTML parser for read_html (see note) Jinja2 Conditional formatting with DataFrame analysis toolkit, Release 1.0.4 Table 1 – continued from previous page Dependency Minimum Version Notes gcsfs 0.2.2 Google Cloud Storage access html5lib HTML parser for read_html (see note) lxml 3.8

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2374 6 Release Notes 2375 6.1 Version 1.0 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ONE WHAT’S NEW IN 1.0.1 (FEBRUARY 5, 2020) These are the changes in pandas 1.0.1. See Release Notes for a full changelog including other versions of pandas. 1.1 Fixed regressions • Fixed regression raise an ImportError when the method requiring that dependency is called. Dependency Minimum Version Notes BeautifulSoup4 4.6.0 HTML parser for read_html (see note) Jinja2 Conditional formatting with DataFrame