From 4358c40d358c811a46b3ec5325d9475c887c4b9e Mon Sep 17 00:00:00 2001
From: Théo de la Hogue
Date: Mon, 28 Aug 2023 15:23:00 +0200
Subject: Fixing documentation linking.

---
 docs/user_guide/timestamped_data/pandas_dataframe_conversion.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'docs/user_guide/timestamped_data/pandas_dataframe_conversion.md')

diff --git a/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md b/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md
index eaa7b69..7614e73 100644
--- a/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md
+++ b/docs/user_guide/timestamped_data/pandas_dataframe_conversion.md
@@ -9,7 +9,7 @@ A [Pandas DataFrame](https://pandas.pydata.org/docs/getting_started/intro_tutori
 
 ## Export as dataframe
 
-[TimeStampedBuffer](../../../argaze/#argaze.DataStructures.TimeStampedBuffer) instance can be converted into dataframe provided that data values are stored as dictionaries.
+[TimeStampedBuffer](../../argaze.md/#argaze.DataStructures.TimeStampedBuffer) instance can be converted into dataframe provided that data values are stored as dictionaries.
 
 ```python
 from argaze import DataStructures
@@ -38,4 +38,4 @@ ts_buffer_dataframe would look like:
 
 ## Import from dataframe
 
-Reversely, [TimeStampedBuffer](../../../argaze/#argaze.DataStructures.TimeStampedBuffer) instance can be created from dataframe, as a result of which each dataframe columns label will become a key of data value dictionary. Notice that the column containing timestamp values have to be called 'timestamp'.
+Reversely, [TimeStampedBuffer](../../argaze.md/#argaze.DataStructures.TimeStampedBuffer) instance can be created from dataframe, as a result of which each dataframe columns label will become a key of data value dictionary. Notice that the column containing timestamp values have to be called 'timestamp'.
-- 
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