I need to convert dates into Excel serial numbers for a data munging script I am writing. By playing with dates in my OpenOffice Calc workbook, I was able to deduce that \'1
While this is not exactly relevant to the excel serial date format, this was the top hit for exporting python date time to Excel. What I have found particularly useful and simple is to just export using strftime.
import datetime
current_datetime = datetime.datetime.now()
current_datetime.strftime('%x %X')
This will output in the following format '06/25/14 09:59:29' which is accepted by Excel as a valid date/time and allows for sorting in Excel.
It appears that the Excel "serial date" format is actually the number of days since 1900-01-00, with a fractional component that's a fraction of a day, based on http://www.cpearson.com/excel/datetime.htm. (I guess that date should actually be considered 1899-12-31, since there's no such thing as a 0th day of a month)
So, it seems like it should be:
def excel_date(date1):
temp = dt.datetime(1899, 12, 30) # Note, not 31st Dec but 30th!
delta = date1 - temp
return float(delta.days) + (float(delta.seconds) / 86400)
if the problem is that we want DATEVALUE() excel serial number for dates, the toordinal() function can be used. Python serial numbers start from Jan1 of year 1 whereas excel starts from 1 Jan 1900 so apply an offset. Also see excel 1900 leap year bug (https://support.microsoft.com/en-us/help/214326/excel-incorrectly-assumes-that-the-year-1900-is-a-leap-year)
def convert_date_to_excel_ordinal(day, month, year) :
offset = 693594
current = date(year,month,day)
n = current.toordinal()
return (n - offset)
With the 3rd party xlrd.xldate module, you can supply a tuple structured as (year, month, day, hour, minute, second)
and, if necessary, calculate a day fraction from any microseconds component:
from datetime import datetime
from xlrd import xldate
from operator import attrgetter
def excel_date(input_date):
components = ('year', 'month', 'day', 'hour', 'minute', 'second')
frac = input_date.microsecond / (86400 * 10**6) # divide by microseconds in one day
return xldate.xldate_from_datetime_tuple(attrgetter(*components)(input_date), 0) + frac
res = excel_date(datetime(1900, 3, 1, 12, 0, 0, 5*10**5))
# 61.50000578703704
This worked when I tested using the csv package to create a spreadsheet:
from datetime import datetime
def excel_date(date1):
return date1.strftime('%x %-I:%M:%S %p')
now = datetime.now()
current_datetime=now.strftime('%x %-I:%M:%S %p')
time_data.append(excel_date(datetime.now()))
...
According to @akgood's answer, when the datetime is before 1/0/1900, the return value is wrong, the corrected return expression may be:
def excel_date(date1):
temp = dt.datetime(1899, 12, 30) # Note, not 31st Dec but 30th!
delta = date1 - temp
return float(delta.days) + (-1.0 if delta.days < 0 else 1.0)*(delta.seconds)) / 86400