From 4444ba2a8ce436c081cc88a6ede48638fc847b63 Mon Sep 17 00:00:00 2001 From: Mariya <35101262+mariyahendriksen@users.noreply.github.com> Date: Tue, 18 Dec 2018 03:57:54 +0100 Subject: [PATCH] add extra info about the library (#27754) elaborating on pandas origin and on how it interacts with other ML libraries --- guide/english/data-science-tools/pandas/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/guide/english/data-science-tools/pandas/index.md b/guide/english/data-science-tools/pandas/index.md index 3ebbbec624..29f70909e9 100644 --- a/guide/english/data-science-tools/pandas/index.md +++ b/guide/english/data-science-tools/pandas/index.md @@ -5,7 +5,7 @@ title: pandas ![Everybody loves pandas!](https://pandas.pydata.org/_static/pandas_logo.png "pandas") ## pandas -[pandas](http://pandas.pydata.org/) is a Python library for data analysis using data frames. Data frames are tables of data, which may conceptually be compared to a spreadsheet. Data scientists familiar with R will feel at home here. pandas is often used along with numpy, pyplot, and scikit-learn. +[pandas](http://pandas.pydata.org/) is a Python library for data analysis using data frames. The name `pandas` comes from *panel data*, i.e. a multi-dimensional data measured over time. Data frames are tables of data, which may conceptually be compared to a spreadsheet. Data scientists familiar with R will feel at home here. pandas is often used along with numpy, scipy, pyplot, seaborn and scikit-learn. ### Importing pandas It is a widely used convention to import the pandas library using the alias `pd`: