pre-processing new module update

data_conversion.py

@@ -3,54 +3,48 @@
 
 @author: qinyuzhu
 """
-import flirt
+
 import pandas as pd
 from datetime import datetime, timedelta
 
-df = pd.read_csv("test_conversion.csv")
-print(df)
+def type_conversion():
+     """Function that do data type conversion for time features
+    Parameters
+    ----------
+    column name of the time feature in the file as the parameter of the funtion named type_conversion
+
+    Returns
+    -------
+    a new csv file with one new column of the converted start time
+
+    Raises
+    ------
+    Exception
+        raise exception when the initial time (ini_time) is not set or the format of initial time is not '%b %d %Y %I:%M%p'
+        raise exception when the output csv file name is not written
+    """
+    df = pd.read_csv("")
 
-# the codes below is for further use of conversion
-"""
-# class conversion:
-#
-#     def __init__(self, data) -> None:
-#         self.data = data
-#     def convert_integer(self, data):
-#         return int(self.data)
-#     def convert_daytime(self, data):
-#         delta = timedelta(microseconds=-1)
-#         return delta
-#     def convert_string(self,data):
-#         return str()
-#     def convert_list(self, data):
-#         return list()
-#     def convert_tuple(self, data):
-#         return tuple()
-#     def convert_set(self, data):
-#         return set()
-"""
-lst = []
-for date in df:
-    new = datetime.strptime(date, '')
-df["new_date"] = datetime.strftime()
 
-ini_time =  "Jul 17 2019 11:49AM"
-# print("initial_date", str(ini_time_for_now))
+    lst = []
+    for date in df:
+        new = datetime.strptime(date, '')
+    df["new_date"] = datetime.strftime()
+
+    ini_time =  ""
+    ini_time_for_now = datetime.strptime(ini_time, '%b %d %Y %I:%M%p')
+
+    lst=[]
+    new_final_time = ini_time_for_now + timedelta(days=1)
+    difference = new_final_time - ini_time_for_now
+    lst.append(difference)
+
+    lst.to_csv("")
+
 
-# ini_time_for_now = datetime.strptime(ini_time, '%b %d %Y %I:%M%p')
-#
-#
-# lst=[]
-# new_final_time = ini_time_for_now + timedelta(days=1)
-# difference = new_final_time - ini_time_for_now
-# lst.append(difference)
-#
-#
-# df["converted_time"] = lst
 
 
 
 
 if __name__ == '__main__':
-    print(df)
+    pass