Remove rows with invalid date and time data

below is my sample dataframe.

I need to remove the columns that have an invalid date or time. Therefore rows 3,5,6 should be deleted. I need a way to verify if the date & time columns contain valid date & times.

>Solution :

IIUC, you could use to_datetime method with errors=coerce parameter; then use notna to create a boolean mask to filter df with:

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