recommended. It is highly recommended to use conda, for quick installation and for package and dependency updates. You can find simple installation instructions for pandas in this document: installation to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. 1.4. Tutorials 9 pandas: powerful Python Python data analysis toolkit, Release 1.3.2 Visualization Dependency Minimum Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10

recommended. It is highly recommended to use conda, for quick installation and for package and dependency updates. You can find simple installation instructions for pandas in this document: installation tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. Visualization Dependency Minimum Version Notes setuptools (see Enhancing Perfor- mance) xarray 0.12.3 pandas-like API for N-dimensional data Excel files Dependency Minimum Version Notes xlrd 1.2.0 Reading Excel xlwt 1.3.0 Writing Excel xlsxwriter 1.0.2 Writing

recommended. It is highly recommended to use conda, for quick installation and for package and dependency updates. You can find simple installation instructions for pandas in this document: installation tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. Visualization Dependency Minimum Version Notes setuptools (see Enhancing Perfor- mance) xarray 0.12.3 pandas-like API for N-dimensional data Excel files Dependency Minimum Version Notes xlrd 1.2.0 Reading Excel xlwt 1.3.0 Writing Excel xlsxwriter 1.0.2 Writing

read_hdf() requires the pytables package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. 8 Chapter 2. Installation pandas: powerful powerful Python data analysis toolkit, Release 0.25.3 Dependency Minimum Version Notes BeautifulSoup4 4.6.0 HTML parser for read_html (see note) Jinja2 Conditional formatting with DataFrame.style PyQt4 feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing ecosystem in Python.

recommended. It is highly recommended to use conda, for quick installation and for package and dependency updates. You can find simple installation instructions for pandas in this document: installation tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. Visualization Dependency Minimum Version Notes matplotlib (see Enhancing Perfor- mance) xarray 0.15.1 pandas-like API for N-dimensional data Excel files Dependency Minimum Version Notes xlrd 2.0.1 Reading Excel xlwt 1.3.0 Writing Excel xlsxwriter 1.2.2 Writing

recommended. It is highly recommended to use conda, for quick installation and for package and dependency updates. You can find simple installation instructions for pandas in this document: installation tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. Visualization Dependency Minimum Version Notes matplotlib (see Enhancing Perfor- mance) xarray 0.15.1 pandas-like API for N-dimensional data Excel files Dependency Minimum Version Notes xlrd 2.0.1 Reading Excel xlwt 1.3.0 Writing Excel xlsxwriter 1.2.2 Writing

recommended. It is highly recommended to use conda, for quick installation and for package and dependency updates. You can find simple installation instructions for pandas in this document: installation to_markdown() requires the tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. Timezones De- pen- dency Mini- mum version updated, it is recommended to use the tzdata package from conda-forge. Visualization Dependency Minimum Version Notes matplotlib 3.3.2 Plotting library Jinja2 3.0.0 Conditional formatting with

the tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. Dependency Minimum Version Notes BeautifulSoup4 pandas: powerful Python data 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 2. Getting started pandas: powerful Python data analysis toolkit, Release 1.0.0 • pandas is a dependency of statsmodels, making it an important part of the statistical computing ecosystem in Python.

recommended. It is highly recommended to use conda, for quick installation and for package and dependency updates. You can find simple installation instructions for pandas in this document: installation the tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. Dependency Minimum Version Notes BeautifulSoup4 feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing ecosystem in Python.

recommended. It is highly recommended to use conda, for quick installation and for package and dependency updates. You can find simple installation instructions for pandas in this document: installation the tabulate package. If the optional dependency is not installed, pandas will raise an ImportError when the method requiring that dependency is called. Dependency Minimum Version Notes BeautifulSoup4 feature for your application you may be able to create a faster specialized tool. • pandas is a dependency of statsmodels, making it an important part of the statistical computing ecosystem in Python.