Merge branch '166-removing-unneeded-workaround-in-managing-datetimes-…

…inside-pandas' into 'integration'

[PRIORITY 1] Removing unneeded workaround in managing datetimes inside Pandas

Closes #166

See merge request process-mining/pm4py/pm4py-core!1141

pm4py/objects/conversion/log/variants/to_data_frame.py

@@ -50,20 +50,20 @@ def apply(log, parameters=None):
     # Pandas 1.5.x has problems in managing datetime.datetime types
     # ensure the dates are provided as np.datetime64 which is supported correctly
     # until a proper fix on the Pandas side is provided
-    wka_dt_columns = set()
+    """wka_dt_columns = set()
     for ev in transf_log:
         for attr in ev:
             if isinstance(ev[attr], datetime):
                 ev[attr] = np.datetime64(ev[attr])
-                wka_dt_columns.add(attr)
+                wka_dt_columns.add(attr)"""
 
     df = pd.DataFrame.from_dict(transf_log)
 
     # additional requirement for the workaround: transform back np.datetime64 to datetime after the dataframe
     # is created :)))
-    for attr in wka_dt_columns:
+    """for attr in wka_dt_columns:
         df[attr] = df[attr].apply(lambda x: x.to_datetime64())
-        df[attr] = pd.to_datetime(df[attr], utc=True)
+        df[attr] = pd.to_datetime(df[attr], utc=True)"""
 
     df.attrs = copy(log.properties)
     if pm4_constants.PARAMETER_CONSTANT_CASEID_KEY in df.attrs: