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authorThéo de la Hogue2023-06-07 20:38:04 +0200
committerThéo de la Hogue2023-06-07 20:38:04 +0200
commit79e8940deb433793846c71ed8ffd2d670fdc904a (patch)
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parent82da31d1989c20ea2e1748f6e33b7cd36aa34252 (diff)
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Improving cross reference in gaze analysis and timestamped data sections.
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-rw-r--r--docs/user_guide/timestamped_data/pandas_dataframe_conversion.md8
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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.