Reading a csv with a timestamp column, with pandas

Question

When doing:

import pandas
x = pandas.read_csv(\'data.csv\', parse_dates=True, index_col=\'DateTime\', 
                                names=[\'DateTime\', \         


        

Answer 1

My solution was similar to Mike's:

import pandas
import datetime
def dateparse (time_in_secs):    
    return datetime.datetime.fromtimestamp(float(time_in_secs))

x = pandas.read_csv('data.csv',delimiter=';', parse_dates=True,date_parser=dateparse, index_col='DateTime', names=['DateTime', 'X'], header=None)

out = x.truncate(before=datetime.datetime(2015,12,2,12,2,18))