Change all row values in Pandas dataframe in date format “mm/dd/yyyy” to “yyyy-mm-dd”
Question
Like the title states, I have two csv files I have read into a Pandas dataframe and I want to join the two tables on their "Dates" column values. I'm having an issue converting the special character "/" to "-" and switching the ordering to year-month-day. Any easy quick way that will convert all the row values from the "mm/dd/yyyy" format to the correct "yyyy-mm-dd" format for the join?
1 answers
solution1
1 2017-10-04 21:20:42
When you read your csv adding parse_dates
pd.read_csv('q.csv',parse_dates=True)
Or
pd.read_csv('q.csv',parse_dates=['Dates'])# your date format column here
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