From a02ba74c1284a736750f510a001638da1a065349 Mon Sep 17 00:00:00 2001
From: "[ACC] Elena Operation" <elenaop@cwo-193-ad5.cern.ch>
Date: Wed, 23 Feb 2022 17:52:07 +0100
Subject: [PATCH] added some docs

---
 datascout/_timescout.py | 11 ++++++++++-
 docs/source/usage.rst   | 26 +++++++++++++++++++++++++-
 2 files changed, 35 insertions(+), 2 deletions(-)

diff --git a/datascout/_timescout.py b/datascout/_timescout.py
index 1d0c287..ffecc5f 100644
--- a/datascout/_timescout.py
+++ b/datascout/_timescout.py
@@ -4,7 +4,16 @@ Implementation of sweet functions to convert time data from one format to anothe
 import pytz
 import datetime
 
-def unixtime_to_datetime(unixtime_ns, time_zone = 'utc'):
+def unixtime_to_datetime(unixtime_ns, time_zone = 'CERN'):
+    '''
+    Converts a timestamp in ns from epoch (UTC) to a datetime on the given time_zone
+
+    Note, a timezone called "CERN" (default) can be used as timezone of Geneva area.
+
+    :param unixtime_ns: ns from epoch
+    :param time_zone: desired timezone for the output (default='CERN')
+    :return:
+    '''
     if isinstance(time_zone, str):
         if time_zone.upper() == 'UTC':
             time_zone = pytz.utc
diff --git a/docs/source/usage.rst b/docs/source/usage.rst
index 11689a7..ad4f8e1 100644
--- a/docs/source/usage.rst
+++ b/docs/source/usage.rst
@@ -3,7 +3,7 @@
 Usage
 =====
 
-Datascout provides a set of self-explained functions for data conversion, saving, loading.
+Datascout provides a set of self-explained functions for data conversion, saving, loading, as well as timestamp conversion.
 
 A simple example of use could be the following:
 
@@ -64,3 +64,27 @@ The loss of precision is due to the JSON data format, and not to data conversion
     # This will return no output if the two dictionaries contain the same data
     ds._compare_data(my_dict, my_dict_from_pandas)
 
+It also provides some sweet functions to deal with timestamps (typically in ns from epoch)
+
+.. testcode::
+
+    import datascout as ds
+    import datetime
+
+    reference_stamp = 1645617457640238425
+    reference_time  = datetime.datetime(2022, 2, 23, 12, 57, 37, 640238)
+
+    myDateTime_utc = ds.unixtime_to_datetime(reference_stamp, time_zone = 'utc')
+    myDateTime_local = ds.unixtime_to_datetime(reference_stamp, time_zone = 'local')
+    myDateTime_cern = ds.unixtime_to_datetime(reference_stamp, time_zone = 'CERN')
+    myDateTime_unaware = ds.unixtime_to_datetime(reference_stamp, time_zone = None)
+
+    reference_time_str = ds.unixtime_to_string(reference_stamp, time_zone = 'CERN')
+    print(reference_time_str)
+
+.. parsed-literal::
+
+    2022-02-23 12:57:37.640238
+
+
+
-- 
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