Python date reading from a csv file

Question

I'm actually trying to calculate a SLA from a csv file in python 2.7.8. here's an example of my csv file:

2014-09-24 23:57:43;0000B169;20
2014-09-24 23:58:05;00012223;20
2014-09-24 23:58:49;00012200;20
2014-09-24 23:59:33;0000B0EA;21
2014-09-25 00:00:17;000121FF;21
2014-09-25 00:00:39;00012217;21
2014-09-25 00:01:01;00012176;20
2014-09-25 00:01:23;00012175;20

As you can see there are two different days on my CSV file and I want my program to read them and calculate the SLA daily. here's my program:

#V1.1 du programme de Calcul du SLA
import csv
import datetime
with open("/home/maxime/Bureau/Dev/Exports/export2.csv", 'rb') as f:            #import the required modules
    reader = csv.reader(f, delimiter=';')
    count=0              #variable of the date "number"
    for row in reader:
    if row[0] !="Dispatch date":                # we don't want to include the first line of the first column
        date = datetime.datetime.strptime (row [0],"%Y-%m-%d %H:%M:%S")             #creating the datetime object with the string agrument
        if date < datetime.datetime.strptime ("2014-09-26 00:00:00", "%Y-%m-%d %H:%M:%S")and date > datetime.datetime.strptime ("2014-09-25 00:00:00", "%Y-%m-%d %H:%M:%S"):        #loop to calcul if the date is correct or not
        count = count+1                 #increment the date to perform the SLA calcul
    result = (count/3927.2)*100                 #SLA calcul
    print "Le fichier date du", date                #
    print "Le SLA est de :", result, "%"            #Display the SLA and the date of the file

I don't know how to use correctly the "datetime" function in python so could you help me to resolve my problem.

Answer 1

Try to read with the module named "pandas":

import pandas as pd
def importdict(filename):#creates a function to read the csv
    #create data frame from csv with pandas module
    df=pd.read_csv(filename+'.csv', names=['systemtime', 'Var1', 'var2'],sep=';',parse_dates=[0]) #or:, infer_datetime_format=True)
    fileDATES=df.T.to_dict().values()#export the data frame to a python dictionary
    return fileDATES #return the dictionary to work with it outside the function
if __name__ == '__main__':
    fileDATES = importdict('dates') #start the function with the name of the file

This function returns a dictionary with all the columns and the data such in a format you can work with. I named your csv "dates" in my system. Once the dict is created you can print the info that you want or work with the data.

Hope this can help you, I was in a problem similar to yours a week ago.

Answer 2

I found the Solution of my problem so i'm posting it here.

#V1.2 du calcul de SLA
#Cette version est opérationnelle   
import csv                         #
from datetime import datetime           #import the librairies   
from collections import defaultdict     #

with open('/home/maxime/Bureau/Dev/Exports/export2.csv', 'rb') as fil:
    values = defaultdict(int)               #create a dict

    reader = csv.DictReader(fil, delimiter=';')         #read the csv file
    for row in reader:
        date = datetime.strptime(row['Dispatch date'], '%Y-%m-%d %H:%M:%S')     #datetime value in the right date format
        values[date.strftime('%Y-%m-%d')] += 1          #increment the date with a step of 1

    for date, value in sorted(values.items()):
        result = (value/ 3927.2) * 100          #Sla calcul with the theoritic number of line
        print 'Le fichier date du %s' % date        #SLA display
        print 'Le SLA est de : %d%%' % result