Pandas (software)

Pandas
Original author(s)Wes McKinney
Developer(s)Community
Initial release11 January 2008 (2008-01-11) [citation needed]
Stable release
2.2.2[1] / 10 April 2024 (10 April 2024)
Preview release
2.0rc1 / 15 March 2023
Repository
Written inPython, Cython, C
Operating systemCross-platform
TypeTechnical computing
LicenseNew BSD License
Websitepandas.pydata.org

Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.[2] The name is derived from the term "panel data", an econometrics term for data sets that include observations over multiple time periods for the same individuals,[3] as well as a play on the phrase "Python data analysis".[4]: 5  Wes McKinney started building what would become Pandas at AQR Capital while he was a researcher there from 2007 to 2010.[5]

The development of Pandas introduced into Python many comparable features of working with DataFrames that were established in the R programming language. The library is built upon another library, NumPy.

  1. ^ "Pandas 2.2.2". 10 April 2024.
  2. ^ "License – Package overview – pandas 1.0.0 documentation". pandas. 28 January 2020. Retrieved 30 January 2020.
  3. ^ Wes McKinney (2011). "pandas: a Foundational Python Library for Data Analysis and Statistics" (PDF). Retrieved 2 August 2018.
  4. ^ McKinney, Wes (2014). Python for Data Analysis (First ed.). O'Reilly. ISBN 978-1-449-31979-3.
  5. ^ Kopf, Dan. "Meet the man behind the most important tool in data science". Quartz. Retrieved 17 November 2020.

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