Mar-06-2020, 03:25 PM
Check the dayfirst argument in the docs:
https://pandas.pydata.org/pandas-docs/st...etime.html
I'm pretty sure your problem is due to the fact that in America we do dates like MM-DD-YYYY whereas the rest of the world does the more logical DD-MM-YYYY. Of course we should all be using the best choice which is YYYY-MM-DD but what are you gonna do?
https://pandas.pydata.org/pandas-docs/st...etime.html
I'm pretty sure your problem is due to the fact that in America we do dates like MM-DD-YYYY whereas the rest of the world does the more logical DD-MM-YYYY. Of course we should all be using the best choice which is YYYY-MM-DD but what are you gonna do?
"So, brave knights, if you do doubt your courage or your strength, come no further, for death awaits you all with nasty, big, pointy teeth!" - Tim the Enchanter