From 79e8940deb433793846c71ed8ffd2d670fdc904a Mon Sep 17 00:00:00 2001
From: Théo de la Hogue
Date: Wed, 7 Jun 2023 20:38:04 +0200
Subject: Improving cross reference in gaze analysis and timestamped data
 sections.

---
 docs/user_guide/timestamped_data/pandas_dataframe_conversion.md | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

(limited to 'docs/user_guide/timestamped_data')

diff --git a/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md b/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md
index caddb11..3e6c0a4 100644
--- a/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md
+++ b/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md
@@ -1,7 +1,11 @@
-Pandas dataframe conversion
+---
+title: Pandas DataFrame conversion
+---
+
+Pandas DataFrame conversion
 ===========================
 
-A [Pandas dataframe](https://pandas.pydata.org/docs/getting_started/intro_tutorials/01_table_oriented.html#min-tut-01-tableoriented) is a python data structure allowing powerful table processings.
+A [Pandas DataFrame](https://pandas.pydata.org/docs/getting_started/intro_tutorials/01_table_oriented.html#min-tut-01-tableoriented) is a python data structure allowing powerful table processings.
 
 [TimeStampedBuffer](/argaze/#argaze.DataStructures.TimeStampedBuffer) instance can be converted into dataframe provided that data values are stored as dictionaries.
 
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