diff --git a/Imputer/sort_csv.py b/Imputer/sort_csv.py
new file mode 100644
index 0000000000000000000000000000000000000000..4972e69b6296c8605c439d85c20fc2664805a35d
--- /dev/null
+++ b/Imputer/sort_csv.py
@@ -0,0 +1,38 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Feb 26 11:19:34 2021
+
+@author: Christoph
+"""
+
+import pandas as pd
+import numpy as np
+
+
+data = pd.read_csv('db_dump.csv',delimiter=';')
+dumb=data.copy()
+relevantData= pd.DataFrame.copy(data[['Streckenvorhersage.ZielortID','Streckenvorhersage.StartortID','Streckenvorhersage.Dauer']])
+helpSeries= pd.DataFrame(np.zeros(relevantData.shape[0]))
+#relevantData['day']=helpSeries
+#relevantData['month']=helpSeries
+#relevantData['year']=helpSeries
+relevantData['time']=helpSeries
+relevantData['day_index']=helpSeries
+
+dates= data['Streckenvorhersage.Datum']
+for d in range(dates.shape[0]):
+    toTest =  dates[d]
+    hours = toTest[11:13]
+    minutes = toTest[14:16]
+    seconds = int(toTest[17:19]) + int(hours)*60*60 + int(minutes)*60
+    day = toTest[0:2]
+    month = toTest[3:5]
+    year = toTest[6:10]
+    day_index= int(day)+int(month)*31+int(year)*12
+    #relevantData.at[d,'month']= month
+    #relevantData.at[d,'day']=day
+    #relevantData.at[d,'year']=year
+    relevantData.at[d,'time']=seconds
+    relevantData.at[d,'day_index']=day_index
+
+relevantData.to_csv('data.csv')