pandas is a Python package providing fast, flexible, and expressive
data structures designed to make working with "relational" or
"labeled" data both easy and intuitive. It aims to be the
fundamental high-level building block for doing practical, real
world data analysis in Python.
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above. NOTE: This is a Python port. Instead of py312-pandas listed in the above command, you can pick from the names under the Packages section.
===> The following configuration options are available for py312-pandas-2.3.3_4,1:
MPL=off: Support graphical plotting output via math/py-matplotlib
SCIPY=off: Support various statistical functions via science/py-scipy
====> Computation Acceleration Add-ons
BTLNCK=on: Accelerate certain NaN evals via math/py-bottleneck
NUMEXPR=on: Accelerate certain numerical ops via math/py-numexpr
====> Data Storage Add-ons
BOTO=off: Support Amazon S3 storage via devel/py-boto
TABLES=off: Support HDF5-based storage via devel/py-tables
====> HTML Parsing/Generation Add-ons
LXML=off: Parse HTML with devel/py-lxml and www/py-beautifulsoup4
HTML5LIB=off: Parse HTML with www/py-html5lib and www/py-beautifulsoup4
JINJA2=off: Support conditional HTML formatting with devel/py-Jinja2
====> MS Excel I/O Add-ons
XLRD=off: Read MS Excel with textproc/py-xlrd
XLWT=off: Write MS Excel with textproc/py-xlwt
OPENPYXL=off: Write MS Excel 2007+ with textproc/py-openpyxl
XLSX=off: Write MS Excel with textproc/py-xlsxwriter
====> SQLAlchemy ORM Add-ons: you can only select none or one of them
ALCHEMY14=off: Support SQL databases via databases/py-sqlalchemy14
ALCHEMY20=off: Support SQL databases via databases/py-sqlalchemy20
===> Use 'make config' to modify these settings