I have multiple data sets for which a column - "Created date" to be handled because of multiple dateformats it has. Hence used the below code. However due to the lots of data in the dataset which is in millions it is taking soo much time to execute the below code. What can be done to execute faster ?
Code:
Appilication1['Created Date'] = pd.to_datetime(Appilication1['Created Date'], dayfirst=True,errors = 'coerce')
Appilication2['Created Date'] = pd.to_datetime(Appilication2['Created Date'], dayfirst=True,errors = 'coerce')
Appilication3['Created Date'] = pd.to_datetime(Appilication3['Created Date'], dayfirst=True,errors = 'coerce')
Appilication4['Created Date'] = pd.to_datetime(Appilication4['Created Date'], dayfirst=True,errors = 'coerce')
Appilication5['Created Date'] = pd.to_datetime(Appilication5['Created Date'], dayfirst=True,errors = 'coerce')
Appilication6['Created Date'] = pd.to_datetime(Appilication6['Created Date'], dayfirst=True,errors = 'coerce')
Appilication7['Created Date'] = pd.to_datetime(Appilication7['Created Date'], dayfirst=True,errors = 'coerce')
Appilication8['Created Date'] = pd.to_datetime(Appilication8['Created Date'], dayfirst=True,errors = 'coerce')
Appilication9['Created Date'] = pd.to_datetime(Appilication9['Created Date'], dayfirst=True,errors = 'coerce')
Appilication10['Created Date'] = pd.to_datetime(Appilication10['Created Date'], dayfirst=True,errors = 'coerce')
Appilication11['Created Date'] = pd.to_datetime(Appilication11['Created Date'], dayfirst=True,errors = 'coerce')
Appilication12['Created Date'] = pd.to_datetime(Appilication12['Created Date'], dayfirst=True,errors = 'coerce')