From bd742f7bb6be7576f8e59e3349a339bbcae54236 Mon Sep 17 00:00:00 2001
From: Tom Nicholas <35968931+TomNicholas@users.noreply.github.com>
Date: Mon, 11 Feb 2019 10:53:52 +0000
Subject: [PATCH] Add xarray to scientific.rst

---
 docs/scenarios/scientific.rst | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/docs/scenarios/scientific.rst b/docs/scenarios/scientific.rst
index 3461bb353..cca234225 100644
--- a/docs/scenarios/scientific.rst
+++ b/docs/scenarios/scientific.rst
@@ -91,13 +91,24 @@ are available in the `matplotlib gallery
 Pandas
 ------
 
-`Pandas <http://pandas.pydata.org/>`_ is data manipulation library
+`Pandas <http://pandas.pydata.org/>`_ is a data manipulation library
 based on NumPy which provides many useful functions for accessing,
 indexing, merging, and grouping data easily. The main data structure (DataFrame)
 is close to what could be found in the R statistical package; that is,
 heterogeneous data tables with name indexing, time series operations, and
 auto-alignment of data.
 
+xarray
+------
+
+`xarray <http://xarray.pydata.org/en/stable/>`_ is similar to Pandas, but it 
+is intended for wrapping multidimensional scientific data. By labelling the 
+data with dimensions, coordinates, and attributes, it makes complex 
+multidimensional operations clearer and more intuitive. It also wraps 
+matplotlib for quick plotting, and can apply most operations in parallel using 
+`dask <http://xarray.pydata.org/en/stable/dask.html>`_.
+
+
 Rpy2
 ----