pandas Pandas IO tools (reading and saving data sets) Parsing date columns with read_csv
Example
Date always have a different format, they can be parsed using a specific parse_dates function.
This input.csv:
2016 06 10 20:30:00 foo 2016 07 11 19:45:30 bar 2013 10 12 4:30:00 foo
Can be parsed like this :
mydateparser = lambda x: pd.datetime.strptime(x, "%Y %m %d %H:%M:%S")
df = pd.read_csv("file.csv", sep='\t', names=['date_column', 'other_column'], parse_dates=['date_column'], date_parser=mydateparser)
parse_dates argument is the column to be parsed
date_parser is the parser function
