From b3afffad6157c8499bb6861e6628294ad2000123 Mon Sep 17 00:00:00 2001
From: Charlotte Hoblik <116336412+charlotte-hoblik@users.noreply.github.com>
Date: Fri, 11 Apr 2025 16:02:36 +0200
Subject: [PATCH] update links pointing to elasticsearch repo (#2904)

(cherry picked from commit a5a8b52ac063baece542cfc6bd89a931e921417a)
---
 docs/reference/esql-pandas.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/reference/esql-pandas.md b/docs/reference/esql-pandas.md
index 506ea6579..6c0b1f96a 100644
--- a/docs/reference/esql-pandas.md
+++ b/docs/reference/esql-pandas.md
@@ -355,7 +355,7 @@ You can now analyze the data with Pandas or you can also continue transforming t
 
 ## Analyze the data with Pandas [analyze-data]
 
-In the next example, the [STATS …​ BY](elasticsearch://reference/query-languages/esql/esql-commands.md#esql-stats-by) command is utilized to count how many employees are speaking a given language. The results are sorted with the `languages` column using [SORT](elasticsearch://reference/query-languages/esql/esql-commands.md#esql-sort):
+In the next example, the [STATS …​ BY](elasticsearch://reference/query-languages/esql/commands/processing-commands.md#esql-stats-by) command is utilized to count how many employees are speaking a given language. The results are sorted with the `languages` column using [SORT](elasticsearch://reference/query-languages/esql/commands/processing-commands.md#esql-sort):
 
 ```python
 response = client.esql.query(