dev-python/pandas Package Details

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.

v1.5.0 :: 0 :: gentoo

Modified: Thursday 22 September 18:34
License: BSD
Keywords: ~amd64 ~arm ~arm64 ~hppa ~ia64 ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86
USE flags: X doc full-support minimal test

v1.4.4 :: 0 :: gentoo

Modified: Wednesday 07 September 08:49
License: BSD
Keywords: ~amd64 ~arm ~arm64 ~hppa ~ia64 ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86
USE flags: X doc full-support minimal test

v1.4.3 :: 0 :: gentoo

Modified: Wednesday 07 September 08:49
License: BSD
Keywords: amd64 arm arm64 ppc ppc64 x86 ~hppa ~ia64 ~riscv ~s390 ~sparc
USE flags: X doc full-support minimal test

General

X: Add support for X11
doc: Add extra documentation (API, Javadoc, etc). It is recommended to enable per package instead of globally
full-support: Pull all packages to give pandas full support
minimal: Install a very minimal build (disables, for example, plugins, fonts, most drivers, non-critical features)
test: Enable dependencies and/or preparations necessary to run tests (usually controlled by FEATURES=test but can be toggled independently)

python_targets

python3_10: Build with Python 3.10
python3_8: Build with Python 3.8
python3_9: Build with Python 3.9

app-text / pandoc : Conversion between markup formats

dev-python / PyQt5 : Python bindings for the Qt framework

dev-python / beautifulsoup4 : Pythonic idioms for iterating, searching, and modifying an HTML/XML parse tree

dev-python / blosc : High performance compressor optimized for binary data

dev-python / bottleneck : Fast NumPy array functions written in C

dev-python / cython : A Python to C compiler

dev-python / html5lib : HTML parser based on the HTML5 specification

dev-python / hypothesis : A library for property based testing

dev-python / ipython : Advanced interactive shell for Python

dev-python / jinja : A full-featured template engine for Python

dev-python / lxml : A Pythonic binding for the libxml2 and libxslt libraries

dev-python / matplotlib : Pure python plotting library with matlab like syntax

dev-python / nbsphinx : Jupyter Notebook Tools for Sphinx

dev-python / numexpr : Fast numerical array expression evaluator for Python and NumPy

dev-python / numpy : Fast array and numerical python library

dev-python / numpydoc : Sphinx extension to support docstrings in Numpy format

dev-python / openpyxl : Pure python reader and writer of Excel OpenXML files

dev-python / psycopg : PostgreSQL database adapter for Python

dev-python / pymysql : Pure-Python MySQL Driver

dev-python / pytables : Hierarchical datasets for Python

dev-python / pytest : Simple powerful testing with Python

dev-python / pytest-xdist : Distributed testing and loop-on-failing modes

dev-python / python-dateutil : Extensions to the standard Python datetime module

dev-python / pytz : World timezone definitions for Python

dev-python / rpy : Python interface to the R Programming Language

dev-python / scipy : Scientific algorithms library for Python

dev-python / sphinx : Python documentation generator

dev-python / sqlalchemy : Python SQL toolkit and Object Relational Mapper

dev-python / statsmodels : Statistical computations and models for use with SciPy

dev-python / xarray : N-D labeled arrays and datasets in Python

dev-python / xlrd : Library to extract data from Microsoft Excel spreadsheets

dev-python / xlsxwriter : Python module for creating Excel XLSX files

dev-python / xlwt : Python library to create spreadsheet files compatible with Excel

x11-apps / xhost : Controls host and/or user access to a running X server

x11-base / xorg-server : X.Org X servers

x11-misc / xclip : Copy data from standard input to X clipboard

x11-misc / xsel : Command-line program for getting and setting the contents of the X selection

dev-lang / python : An interpreted, interactive, object-oriented programming language