From 0fc1cc70fcf714c9f0384454595df337328a8d31 Mon Sep 17 00:00:00 2001 From: Siyu Yang Date: Thu, 12 Sep 2019 18:11:21 -0700 Subject: [PATCH] Update why-xarray.rst with clearer expression in one sentence. --- doc/why-xarray.rst | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/doc/why-xarray.rst b/doc/why-xarray.rst index d0a6c591b29..25d558d99d5 100644 --- a/doc/why-xarray.rst +++ b/doc/why-xarray.rst @@ -62,9 +62,8 @@ The power of the dataset over a plain dictionary is that, in addition to pulling out arrays by name, it is possible to select or combine data along a dimension across all arrays simultaneously. Like a :py:class:`~pandas.DataFrame`, datasets facilitate array operations with -heterogeneous data -- the difference is that the arrays in a dataset can not -only have different data types, but can also have different numbers of -dimensions. +heterogeneous data -- the difference is that the arrays in a dataset can have +not only different data types, but also different numbers of dimensions. This data model is borrowed from the netCDF_ file format, which also provides xarray with a natural and portable serialization format. NetCDF is very popular