datetime – Creating a range of dates in Python

datetime – Creating a range of dates in Python

Marginally better…

base = datetime.datetime.today()
date_list = [base - datetime.timedelta(days=x) for x in range(numdays)]

Pandas is great for time series in general, and has direct support for date ranges.

For example pd.date_range():

import pandas as pd
from datetime import datetime

datelist = pd.date_range(datetime.today(), periods=100).tolist()

It also has lots of options to make life easier. For example if you only wanted weekdays, you would just swap in bdate_range.

See date range documentation

In addition it fully supports pytz timezones and can smoothly span spring/autumn DST shifts.

EDIT by OP:

If you need actual python datetimes, as opposed to Pandas timestamps:

import pandas as pd
from datetime import datetime

pd.date_range(end = datetime.today(), periods = 100).to_pydatetime().tolist()

#OR

pd.date_range(start=2018-09-09,end=2020-02-02)

This uses the end parameter to match the original question, but if you want descending dates:

pd.date_range(datetime.today(), periods=100).to_pydatetime().tolist()

datetime – Creating a range of dates in Python

Get range of dates between specified start and end date (Optimized for time & space complexity):

import datetime

start = datetime.datetime.strptime(21-06-2014, %d-%m-%Y)
end = datetime.datetime.strptime(07-07-2014, %d-%m-%Y)
date_generated = [start + datetime.timedelta(days=x) for x in range(0, (end-start).days)]

for date in date_generated:
    print date.strftime(%d-%m-%Y)