From f57ada9f42b167885d10f6077e7a7ce13fde0405 Mon Sep 17 00:00:00 2001 From: gfyoung Date: Tue, 26 Nov 2019 00:59:11 +0000 Subject: [PATCH] MAINT: Fix grammar in user_guide/scale.rst Follow-up to: https://github.com/pandas-dev/pandas/pull/29811 --- doc/source/user_guide/scale.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/source/user_guide/scale.rst b/doc/source/user_guide/scale.rst index cff782678a4b3..ba213864ec469 100644 --- a/doc/source/user_guide/scale.rst +++ b/doc/source/user_guide/scale.rst @@ -94,7 +94,7 @@ Use efficient datatypes The default pandas data types are not the most memory efficient. This is especially true for text data columns with relatively few unique values (commonly -referred to as "low-cardinality" data). By using more efficient data types you +referred to as "low-cardinality" data). By using more efficient data types, you can store larger datasets in memory. .. ipython:: python