From 60eb511f0039e722ef17508b5c3da258614f552c Mon Sep 17 00:00:00 2001 From: Robin Boone <43806560+Robinsane@users.noreply.github.com> Date: Fri, 19 Apr 2024 10:39:05 +0200 Subject: [PATCH] Update categoricals.md excessive "a" --- docs/user-guide/concepts/data-types/categoricals.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/user-guide/concepts/data-types/categoricals.md b/docs/user-guide/concepts/data-types/categoricals.md index d240fd0c5fc0..e5b469f45ad6 100644 --- a/docs/user-guide/concepts/data-types/categoricals.md +++ b/docs/user-guide/concepts/data-types/categoricals.md @@ -5,7 +5,7 @@ Categorical data represents string data where the values in the column have a fi That is why Polars supports encoding string values in dictionary format. Working with categorical data in Polars can be done with two different DataTypes: `Enum`,`Categorical`. Both have their own use cases which we will explain further on this page. First we will look at what a categorical is in Polars. -In Polars a categorical is a defined as a string column which is encoded by a dictionary. A string column would be split into two elements: encodings and the actual string values. +In Polars a categorical is defined as a string column which is encoded by a dictionary. A string column would be split into two elements: encodings and the actual string values.
String Column Categorical Column