Python Pandas to_datetime row by row

Question

How to convert a DF column row by row to_datetime, so when there is a string that is not capable of beeing turned into datetime format, skip that row?

This line of code turns the whole column into datetime format, but some of the rows are set as "friday" and not dates, so I want to skip these rows and format the rest.

df['Dates'] = df['Dates'].apply(pd.to_datetime)

Any help?

Answer 1

This should fix the error you are receiving.

df['Dates'] = df['Dates'].apply(pd.to_datetime, errors='ignore')

Answer 2

Use errors='coerce' for this

df['Date'] = pd.to_datetime(df['Date'], errors='coerce')