Question

I am parsing a file this way :

for d in csvReader:
    print datetime.datetime.strptime(d["Date"]+"-"+d["Time"], "%d-%b-%Y-%H:%M:%S.%f").date()

date() returns : 2000-01-08, which is correct

time() returns : 06:20:00, which is also correct

How would I go about returning informations like “date+time” or “date+hours+minutes”

EDIT

Sorry I should have been more precise, here is what I am trying to achieve :

lmb = lambda d: datetime.datetime.strptime(d["Date"]+"-"+d["Time"], "%d-%b-%Y-%H:%M:%S.%f").date()

daily_quotes = {}
for k, g in itertools.groupby(csvReader, key = lmb):
    lowBids = []
    highBids = []
    openBids = []
    closeBids = []
    for i in g:

        lowBids.append(float(i["Low Bid"]))
        highBids.append(float(i["High Bid"]))
        openBids.append(float(i["Open Bid"]))
        closeBids.append(float(i["Close Bid"]))

    dayMin = min(lowBids)
    dayMax = max(highBids)
    open = openBids[0]
    close = closeBids[-1]

    daily_quotes[k.strftime("%Y-%m-%d")] = [dayMin,dayMax,open,close]

As you can see, right now I’m grouping values by day, I would like to group them by hour ( for which I would need date + hour ) or minutes ( date + hour + minute )

thanks in advance !

Answer 1

Don’t use the date method of the datetime object you’re getting from strptime. Instead, apply strftime directly to the return from strptime, which gets you access to all the member fields, including year, month, day, hour, minute, seconds, etc…

d = {"Date": "01-Jan-2000", "Time": "01:02:03.456"}
dt = datetime.datetime.strptime(d["Date"]+"-"+d["Time"], "%d-%b-%Y-%H:%M:%S.%f")
print dt.strftime("%Y-%m-%d-%H-%M-%S")