manipulating_dates_in_python
This is an old revision of the document!
get today's day, month and year
% ipython3 Python 3.9.2 (default, Feb 28 2021, 17:03:44) IPython 7.20.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: import datetime today = datetime.date.today() In [2]: print(today) 2021-08-14 In [3]: type(today) Out[3]: datetime.date In [4]: [today.year, today.month, today.day] Out[4]: [2021, 8, 14]
iterate over a range of dates
To iterate on all days including weekends
for dt in pd.date_range('20160226', '20160303'): print(dt.strftime('%Y%m%d')) 20160226 20160227 20160228 20160229 20160301 20160302 20160303
To iterate only on weekdays
for dt in pd.date_range('20160226', '20160303'): if (dt.weekday() < 5): print(dt.strftime('%Y%m%d')) 20160226 20160229 20160301 20160302 20160303
To iterate in reverse chronological order
for dt in pd.date_range('20160226', '20160303')[::-1]: if (dt.weekday() < 5): print(dt.strftime('%Y%m%d')) 20160303 20160302 20160301 20160229 20160226
To experiment with just one date element
>>> a = pd.date_range('20160226', '20160303') >>> a[0].strftime('%Y%m%d') '20160226'
To create a pandas.tslib.Timestamp variable
>>> from datetime import datetime >>> for dt in pd.date_range('20160929', '20160930')[::-1]: ... dt == pd.Timestamp(datetime(2016, 9, 29)) ... False True >>> type(pd.Timestamp(datetime(2016, 9, 29))) <class 'pandas.tslib.Timestamp'> >>> for dt in pd.date_range('20160929', '20160930')[::-1]: ... type(dt) ... <class 'pandas.tslib.Timestamp'> <class 'pandas.tslib.Timestamp'>
tags | convert output from pandas data_range function to YYYYMMDD, date_range reverse order
Ref:-
manipulating_dates_in_python.1658532094.txt.gz · Last modified: 2022/07/22 23:21 by raju