Human readable delta time text to Python `timedelta` - python

I have seen many examples on how to parse a human readable text containing a date/time to datetime structure or even seconds since "Epoch".
A few Pyhton libraries (e.g. parsedatetime or dateparser claim to be able to parse relative date/times (like "1min 47 seconds ago") but the end result is always anchored to a specific date/time.
Example using two mentioned libraries:
sdate="1 min 37 seconds ago"
dateparser.parse(sdate)
datetime.datetime(2019, 8, 19, 17, 20, 29, 325230)
pdtCal.parse(sdate)
(time.struct_time(tm_year=2019, tm_mon=8, tm_mday=19, tm_hour=17, tm_min=22, tm_sec=49, tm_wday=0, tm_yday=231, tm_isdst=-1), 2)
What I need, though, is something as simple as a timedelta object, but from what I could learn, the best I can do is to compute the timedelta by subtracting the parsed datetime from current time.
Obviously, this is not the same since I will be adding a sampling error (datetime.datetime.now() is running at a different time as the parser run).
So I ask, is there a simple yet relieble way in Python to parse this delta time text directly into a timedelta object or a scalar value (e.g seconds count)?
Thanks!

There is a way to specify "anchor date" in dateparser using settings:
In [1]: from dateparser import parse
In [2]: from datetime import datetime
In [3]: anchor_date = datetime(2020, 1, 1)
In [4]: parsed_date = parse('1 min 37 seconds ago', settings={'RELATIVE_BASE': anchor_date})
In [5]: parsed_date - anchor_date
Out[5]: datetime.timedelta(days=-1, seconds=86303)
Using the same date as relative base and in delta calculation ensures precise results.

Related

Calculate hours difference between timezone and UTC based timezone name in following format: America/New_York

I have a library which returns the timezone of a location in the format: America/New_York. Based on that timezone name, I want to calculate the hours between that time zone and UTC, taking into account daylight savings time and all. I'm using Python.
My first idea was to use the Google python library and search for 'America/New_York time' but that only gave me back a list of urls which I could visit to get the info myself. It would be awesome if I could get the current time seen if I were to manually search 'America/New_York time' into google, right into my program.
I'm sure this question has been asked before, but I am new to stack overflow and python so help is appreciated.
Thanks!
The offset from UTC depends on the date (since daylight saving time may or may not be in effect). So you need to provide a datetime for the comparison.
ZoneInfo.utcoffset will return a timedelta object directly.
>>> from zoneinfo import ZoneInfo
>>> from datetime import datetime
>>> ZoneInfo("America/New_York").utcoffset(datetime(2021, 10, 23)) #EDT
datetime.timedelta(days=-1, seconds=72000)
>>> ZoneInfo("America/New_York").utcoffset(datetime(2021, 11, 15)) #EST
datetime.timedelta(days=-1, seconds=68400)
>>> ZoneInfo("Asia/Tokyo").utcoffset(datetime(2021, 10, 23))
datetime.timedelta(seconds=32400)
Not a complete answer, but maybe you could implement a dictionary that connects these format to the normal format with three letters. With this you can then use datetime and pytz to make the rest. If you don't have too many possible outputs in the current format this would be feasible, otherwise of course not.
>>> from datetime import datetime, timedelta
>>> from datetime import timezone
>>> from zoneinfo import ZoneInfo
>>> dt1 = datetime(2020, 11, 1, 8, tzinfo=timezone.utc)
>>> dt2 = datetime(2020, 11, 1, 8, tzinfo=ZoneInfo("America/New_York"))
>>> dt2 - dt1
datetime.timedelta(seconds=18000)
>>>
Note that the difference will be four for five hours depending on whether daylight saving time is in effect or not.

Python dateutil parser parses wrong number of seconds

Python dateutil is parsing strings correctly except for the seconds component of the string.
In [1]: from dateutil import parser
In [2]: parser.parse("05/09/2016 16:04.18")
Out[2]: datetime.datetime(2016, 5, 9, 16, 4, 10)
dateutil.parser is parsing 16:04.18 as 16 hours, 4 minutes, and 10 seconds, when it should be 18 seconds. What's going on here?
Parser doesn't know how to interpret that last non-standard portion of the time. The . instead of a : throws it off. Try using parser.parse("05.09/2016 16:04:18") instead.
You could also try using the datetime module instead since it can be customized with a mask to handle any date and time format.
from datetime import datetime
date_object = datetime.strptime("05/09/2016 16:04.18", '%m/%d/%Y %H:%M.%S')

How to convert time object to minutes in python

I have an output from a database(postgreSQL) in python. The time is encoded as timestamptz. We need to be able to convert the time into just minutes.
2015-07-09 13:45:08.266520+00:00
For example this would be 825 minutes.
I'm having issues with the datetime.datetime formating, I just need to be able to drop everything but hours and minutes and then convert to minutes.
time_format = '%H:%M'
time1 = datetime.strptime('2015-07-09 13:45:08.266520+00:00', time_format)
So I'm trying to sort a big list of times into certain intervals. I need these times to be in just minutes in order to do any math on them, I do not want to have to mess with time anymore. Thats why I'm trying to just covert them into minutes by taking the hours * 60 + minutes. Since this is in a time format I cannot do any of that.
Substract the DateTime from a DateTime with the the reference point in time, extract the total_seconds from the resulting TimeDelta and divide by 60.
(You did not give any code. So I can't give any code based on your's.)
dateutil takes a lot of the headache out of parsing a ISO 8601 stamp:
>>> import dateutil.parser
>>> dateutil.parser.parse('2015-07-09 13:45:08.266520+00:00')
datetime.datetime(2015, 7, 9, 13, 45, 8, 266520, tzinfo=tzutc())
Since you want the answer to be '825 minutes', algebraically, you must be seeking an offset from an epoch mark:
>>> import datetime as dt
>>> mark=dateutil.parser.parse('2015-07-09 13:45:08.266520+00:00')-dt.timedelta(minutes=825)
>>> mark
datetime.datetime(2015, 7, 9, 0, 0, 8, 266520, tzinfo=tzutc())
So now use mark as the basis to calculate minute offsets. (You probably mean to ignore microseconds in the base time mark)
I understand what you're trying to do. So you want to convert the timestamp you're getting from your DB into minutes. Basically 0:00 would be 0, 1:00 would be 60 and so on.
Timestamps are standard, so a dirty hack you could do is just pull the indices of the relevant information that you want and go from there.
time = "2015-07-09 13:45:08.266520+00:00"
data = time[11:18]
print data //Will be 13:45:08
Then you can do data operations from there.

In Python, how do you convert seconds since epoch to a `datetime` object?

The time module can be initialized using seconds since epoch:
>>> import time
>>> t1=time.gmtime(1284286794)
>>> t1
time.struct_time(tm_year=2010, tm_mon=9, tm_mday=12, tm_hour=10, tm_min=19,
tm_sec=54, tm_wday=6, tm_yday=255, tm_isdst=0)
Is there an elegant way to initialize a datetime.datetime object in the same way?
datetime.datetime.fromtimestamp will do, if you know the time zone, you could produce the same output as with time.gmtime
>>> datetime.datetime.fromtimestamp(1284286794)
datetime.datetime(2010, 9, 12, 11, 19, 54)
or
>>> datetime.datetime.utcfromtimestamp(1284286794)
datetime.datetime(2010, 9, 12, 10, 19, 54)
Seconds since epoch to datetime to strftime:
>>> ts_epoch = 1362301382
>>> ts = datetime.datetime.fromtimestamp(ts_epoch).strftime('%Y-%m-%d %H:%M:%S')
>>> ts
'2013-03-03 01:03:02'
From the docs, the recommended way of getting a timezone aware datetime object from seconds since epoch is:
Python 3:
from datetime import datetime, timezone
datetime.fromtimestamp(timestamp, timezone.utc)
Python 2, using pytz:
from datetime import datetime
import pytz
datetime.fromtimestamp(timestamp, pytz.utc)
Note that datetime.datetime.fromtimestamp(timestamp) and .utcfromtimestamp(timestamp) fail on windows for dates before Jan. 1, 1970 while negative unix timestamps seem to work on unix-based platforms. The docs say this:
"This may raise ValueError, if the timestamp is out of the range of
values supported by the platform C gmtime() function. It’s common for
this to be restricted to years in 1970 through 2038"
See also Issue1646728
For those that want it ISO 8601 compliant, since the other solutions do not have the T separator nor the time offset (except Meistro's answer):
from datetime import datetime, timezone
result = datetime.fromtimestamp(1463288494, timezone.utc).isoformat('T', 'microseconds')
print(result) # 2016-05-15T05:01:34.000000+00:00
Note, I use fromtimestamp because if I used utcfromtimestamp I would need to chain on .astimezone(...) anyway to get the offset.
If you don't want to go all the way to microseconds you can choose a different unit with the
isoformat() method.

How do I get the current time?

How do I get the current time?
Use datetime:
>>> import datetime
>>> now = datetime.datetime.now()
>>> now
datetime.datetime(2009, 1, 6, 15, 8, 24, 78915)
>>> print(now)
2009-01-06 15:08:24.789150
For just the clock time without the date:
>>> now.time()
datetime.time(15, 8, 24, 78915)
>>> print(now.time())
15:08:24.789150
To save typing, you can import the datetime object from the datetime module:
>>> from datetime import datetime
Then remove the prefix datetime. from all of the above.
Use time.strftime():
>>> from time import gmtime, strftime
>>> strftime("%Y-%m-%d %H:%M:%S", gmtime())
'2009-01-05 22:14:39'
from datetime import datetime
datetime.now().strftime('%Y-%m-%d %H:%M:%S')
Example output: '2013-09-18 11:16:32'
See list of strftime directives.
Similar to Harley's answer, but use the str() function for a quick-n-dirty, slightly more human readable format:
>>> from datetime import datetime
>>> str(datetime.now())
'2011-05-03 17:45:35.177000'
How do I get the current time in Python?
The time module
The time module provides functions that tell us the time in "seconds since the epoch" as well as other utilities.
import time
Unix Epoch Time
This is the format you should get timestamps in for saving in databases. It is a simple floating-point number that can be converted to an integer. It is also good for arithmetic in seconds, as it represents the number of seconds since Jan 1, 1970, 00:00:00, and it is memory light relative to the other representations of time we'll be looking at next:
>>> time.time()
1424233311.771502
This timestamp does not account for leap-seconds, so it's not linear - leap seconds are ignored. So while it is not equivalent to the international UTC standard, it is close, and therefore quite good for most cases of record-keeping.
This is not ideal for human scheduling, however. If you have a future event you wish to take place at a certain point in time, you'll want to store that time with a string that can be parsed into a datetime object or a serialized datetime object (these will be described later).
time.ctime
You can also represent the current time in the way preferred by your operating system (which means it can change when you change your system preferences, so don't rely on this to be standard across all systems, as I've seen others expect). This is typically user friendly, but doesn't typically result in strings one can sort chronologically:
>>> time.ctime()
'Tue Feb 17 23:21:56 2015'
You can hydrate timestamps into human readable form with ctime as well:
>>> time.ctime(1424233311.771502)
'Tue Feb 17 23:21:51 2015'
This conversion is also not good for record-keeping (except in text that will only be parsed by humans - and with improved Optical Character Recognition and Artificial Intelligence, I think the number of these cases will diminish).
datetime module
The datetime module is also quite useful here:
>>> import datetime
datetime.datetime.now
The datetime.now is a class method that returns the current time. It uses the time.localtime without the timezone info (if not given, otherwise see timezone aware below). It has a representation (which would allow you to recreate an equivalent object) echoed on the shell, but when printed (or coerced to a str), it is in human readable (and nearly ISO) format, and the lexicographic sort is equivalent to the chronological sort:
>>> datetime.datetime.now()
datetime.datetime(2015, 2, 17, 23, 43, 49, 94252)
>>> print(datetime.datetime.now())
2015-02-17 23:43:51.782461
datetime's utcnow
You can get a datetime object in UTC time, a global standard, by doing this:
>>> datetime.datetime.utcnow()
datetime.datetime(2015, 2, 18, 4, 53, 28, 394163)
>>> print(datetime.datetime.utcnow())
2015-02-18 04:53:31.783988
UTC is a time standard that is nearly equivalent to the GMT timezone. (While GMT and UTC do not change for Daylight Savings Time, their users may switch to other timezones, like British Summer Time, during the Summer.)
datetime timezone aware
However, none of the datetime objects we've created so far can be easily converted to various timezones. We can solve that problem with the pytz module:
>>> import pytz
>>> then = datetime.datetime.now(pytz.utc)
>>> then
datetime.datetime(2015, 2, 18, 4, 55, 58, 753949, tzinfo=<UTC>)
Equivalently, in Python 3 we have the timezone class with a utc timezone instance attached, which also makes the object timezone aware (but to convert to another timezone without the handy pytz module is left as an exercise to the reader):
>>> datetime.datetime.now(datetime.timezone.utc)
datetime.datetime(2015, 2, 18, 22, 31, 56, 564191, tzinfo=datetime.timezone.utc)
And we see we can easily convert to timezones from the original UTC object.
>>> print(then)
2015-02-18 04:55:58.753949+00:00
>>> print(then.astimezone(pytz.timezone('US/Eastern')))
2015-02-17 23:55:58.753949-05:00
You can also make a naive datetime object aware with the pytz timezone localize method, or by replacing the tzinfo attribute (with replace, this is done blindly), but these are more last resorts than best practices:
>>> pytz.utc.localize(datetime.datetime.utcnow())
datetime.datetime(2015, 2, 18, 6, 6, 29, 32285, tzinfo=<UTC>)
>>> datetime.datetime.utcnow().replace(tzinfo=pytz.utc)
datetime.datetime(2015, 2, 18, 6, 9, 30, 728550, tzinfo=<UTC>)
The pytz module allows us to make our datetime objects timezone aware and convert the times to the hundreds of timezones available in the pytz module.
One could ostensibly serialize this object for UTC time and store that in a database, but it would require far more memory and be more prone to error than simply storing the Unix Epoch time, which I demonstrated first.
The other ways of viewing times are much more error-prone, especially when dealing with data that may come from different time zones. You want there to be no confusion as to which timezone a string or serialized datetime object was intended for.
If you're displaying the time with Python for the user, ctime works nicely, not in a table (it doesn't typically sort well), but perhaps in a clock. However, I personally recommend, when dealing with time in Python, either using Unix time, or a timezone aware UTC datetime object.
Do
from time import time
t = time()
t - float number, good for time interval measurement.
There is some difference for Unix and Windows platforms.
>>> from time import gmtime, strftime
>>> strftime("%a, %d %b %Y %X +0000", gmtime())
'Tue, 06 Jan 2009 04:54:56 +0000'
That outputs the current GMT in the specified format. There is also a localtime() method.
This page has more details.
The previous answers are all good suggestions, but I find it easiest to use ctime():
In [2]: from time import ctime
In [3]: ctime()
Out[3]: 'Thu Oct 31 11:40:53 2013'
This gives a nicely formatted string representation of the current local time.
The quickest way is:
>>> import time
>>> time.strftime("%Y%m%d")
'20130924'
If you need current time as a time object:
>>> import datetime
>>> now = datetime.datetime.now()
>>> datetime.time(now.hour, now.minute, now.second)
datetime.time(11, 23, 44)
You can use the time module:
>>> import time
>>> print(time.strftime("%d/%m/%Y"))
06/02/2015
The use of the capital Y gives the full year, and using y would give 06/02/15.
You could also use the following code to give a more lengthy time:
>>> time.strftime("%a, %d %b %Y %H:%M:%S")
'Fri, 06 Feb 2015 17:45:09'
.isoformat() is in the documentation, but not yet here
(this is mighty similar to #Ray Vega's answer):
>>> import datetime
>>> datetime.datetime.now().isoformat()
'2013-06-24T20:35:55.982000'
Why not ask the U.S. Naval Observatory, the official timekeeper of the United States Navy?
import requests
from lxml import html
page = requests.get('http://tycho.usno.navy.mil/cgi-bin/timer.pl')
tree = html.fromstring(page.content)
print(tree.xpath('//html//body//h3//pre/text()')[1])
If you live in the D.C. area (like me) the latency might not be too bad...
Using pandas to get the current time, kind of overkilling the problem at hand:
import pandas as pd
print(pd.datetime.now())
print(pd.datetime.now().date())
print(pd.datetime.now().year)
print(pd.datetime.now().month)
print(pd.datetime.now().day)
print(pd.datetime.now().hour)
print(pd.datetime.now().minute)
print(pd.datetime.now().second)
print(pd.datetime.now().microsecond)
Output:
2017-09-22 12:44:56.092642
2017-09-22
2017
9
22
12
44
56
92693
if you are using numpy already then directly you can use numpy.datetime64()
function.
import numpy as np
str(np.datetime64('now'))
for only date:
str(np.datetime64('today'))
or, if you are using pandas already then you can use pandas.to_datetime() function
import pandas as pd
str(pd.to_datetime('now'))
or,
str(pd.to_datetime('today'))
This is what I ended up going with:
>>>from time import strftime
>>>strftime("%m/%d/%Y %H:%M")
01/09/2015 13:11
Also, this table is a necessary reference for choosing the appropriate format codes to get the date formatted just the way you want it (from Python "datetime" documentation here).
datetime.now() returns the current time as a naive datetime object that represents time in the local timezone. That value may be ambiguous e.g., during DST transitions ("fall back"). To avoid ambiguity either UTC timezone should be used:
from datetime import datetime
utc_time = datetime.utcnow()
print(utc_time) # -> 2014-12-22 22:48:59.916417
Or a timezone-aware object that has the corresponding timezone info attached (Python 3.2+):
from datetime import datetime, timezone
now = datetime.now(timezone.utc).astimezone()
print(now) # -> 2014-12-23 01:49:25.837541+03:00
import datetime
date_time = datetime.datetime.now()
date = date_time.date() # Gives the date
time = date_time.time() # Gives the time
print date.year, date.month, date.day
print time.hour, time.minute, time.second, time.microsecond
Do dir(date) or any variables including the package. You can get all the attributes and methods associated with the variable.
>>> import datetime, time
>>> time = time.strftime("%H:%M:%S:%MS", time.localtime())
>>> print time
'00:21:38:20S'
This question doesn't need a new answer just for the sake of it ... a shiny new-ish toy/module, however, is enough justification. That being the Pendulum library, which appears to do the sort of things which arrow attempted, except without the inherent flaws and bugs which beset arrow.
For instance, the answer to the original question:
>>> import pendulum
>>> print(pendulum.now())
2018-08-14T05:29:28.315802+10:00
>>> print(pendulum.now('utc'))
2018-08-13T19:29:35.051023+00:00
There's a lot of standards which need addressing, including multiple RFCs and ISOs, to worry about. Ever get them mixed up; not to worry, take a little look into dir(pendulum.constants) There's a bit more than RFC and ISO formats there, though.
When we say local, though what do we mean? Well I mean:
>>> print(pendulum.now().timezone_name)
Australia/Melbourne
>>>
Presumably most of the rest of you mean somewhere else.
And on it goes. Long story short: Pendulum attempts to do for date and time what requests did for HTTP. It's worth consideration, particularly for both its ease of use and extensive documentation.
By default, now() function returns output in the YYYY-MM-DD HH:MM:SS:MS format. Use the below sample script to get the current date and time in a Python script and print results on the screen. Create file getDateTime1.py with the below content.
import datetime
currentDT = datetime.datetime.now()
print (str(currentDT))
The output looks like below:
2018-03-01 17:03:46.759624
Try the arrow module from http://crsmithdev.com/arrow/:
import arrow
arrow.now()
Or the UTC version:
arrow.utcnow()
To change its output, add .format():
arrow.utcnow().format('YYYY-MM-DD HH:mm:ss ZZ')
For a specific timezone:
arrow.now('US/Pacific')
An hour ago:
arrow.utcnow().replace(hours=-1)
Or if you want the gist.
arrow.get('2013-05-11T21:23:58.970460+00:00').humanize()
>>> '2 years ago'
Current time of a timezone
from datetime import datetime
import pytz
tz_NY = pytz.timezone('America/New_York')
datetime_NY = datetime.now(tz_NY)
print("NY time:", datetime_NY.strftime("%H:%M:%S"))
tz_London = pytz.timezone('Europe/London')
datetime_London = datetime.now(tz_London)
print("London time:", datetime_London.strftime("%H:%M:%S"))
tz_India = pytz.timezone('Asia/India')
datetime_India = datetime.now(tz_India)
print("India time:", datetime_India.strftime("%H:%M:%S"))
#list timezones
pytz.all_timezones
To get exactly 3 decimal points for milliseconds 11:34:23.751 run this:
def get_time_str(decimal_points=3):
return time.strftime("%H:%M:%S", time.localtime()) + '.%d' % (time.time() % 1 * 10**decimal_points)
More context:
I want to get the time with milliseconds. A simple way to get them:
import time, datetime
print(datetime.datetime.now().time()) # 11:20:08.272239
# Or in a more complicated way
print(datetime.datetime.now().time().isoformat()) # 11:20:08.272239
print(datetime.datetime.now().time().strftime('%H:%M:%S.%f')) # 11:20:08.272239
# But do not use this:
print(time.strftime("%H:%M:%S.%f", time.localtime()), str) # 11:20:08.%f
But I want only milliseconds, right? The shortest way to get them:
import time
time.strftime("%H:%M:%S", time.localtime()) + '.%d' % (time.time() % 1 * 1000)
# 11:34:23.751
Add or remove zeroes from the last multiplication to adjust number of decimal points, or just:
def get_time_str(decimal_points=3):
return time.strftime("%H:%M:%S", time.localtime()) + '.%d' % (time.time() % 1 * 10**decimal_points)
If you just want the current timestamp in ms (for example, to measure execution time), you can also use the "timeit" module:
import timeit
start_time = timeit.default_timer()
do_stuff_you_want_to_measure()
end_time = timeit.default_timer()
print("Elapsed time: {}".format(end_time - start_time))
You can use this function to get the time (unfortunately it doesn't say AM or PM):
def gettime():
from datetime import datetime
return ((str(datetime.now())).split(' ')[1]).split('.')[0]
To get the hours, minutes, seconds and milliseconds to merge later, you can use these functions:
Hour:
def gethour():
from datetime import datetime
return (((str(datetime.now())).split(' ')[1]).split('.')[0]).split(':')[0]
Minute:
def getminute():
from datetime import datetime
return (((str(datetime.now())).split(' ')[1]).split('.')[0]).split(':')[1]
Second:
def getsecond():
from datetime import datetime
return (((str(datetime.now())).split(' ')[1]).split('.')[0]).split(':')[2]
Millisecond:
def getmillisecond():
from datetime import datetime
return (str(datetime.now())).split('.')[1]
You can try the following
import datetime
now = datetime.datetime.now()
print(now)
or
import datetime
now = datetime.datetime.now()
print(now.strftime("%Y-%b-%d, %A %I:%M:%S"))
Because no one has mentioned it yet, and this is something I ran into recently... a pytz timezone's fromutc() method combined with datetime's utcnow() is the best way I've found to get a useful current time (and date) in any timezone.
from datetime import datetime
import pytz
JST = pytz.timezone("Asia/Tokyo")
local_time = JST.fromutc(datetime.utcnow())
If all you want is the time, you can then get that with local_time.time().
import datetime
todays_date = datetime.date.today()
print(todays_date)
>>> 2019-10-12
# adding strftime will remove the seconds
current_time = datetime.datetime.now().strftime('%H:%M')
print(current_time)
>>> 23:38
Method1: Getting Current Date and Time from system datetime
The datetime module supplies classes for manipulating dates and times.
Code
from datetime import datetime,date
print("Date: "+str(date.today().year)+"-"+str(date.today().month)+"-"+str(date.today().day))
print("Year: "+str(date.today().year))
print("Month: "+str(date.today().month))
print("Day: "+str(date.today().day)+"\n")
print("Time: "+str(datetime.today().hour)+":"+str(datetime.today().minute)+":"+str(datetime.today().second))
print("Hour: "+str(datetime.today().hour))
print("Minute: "+str(datetime.today().minute))
print("Second: "+str(datetime.today().second))
print("MilliSecond: "+str(datetime.today().microsecond))
Output will be like
Date: 2020-4-18
Year: 2020
Month: 4
Day: 18
Time: 19:30:5
Hour: 19
Minute: 30
Second: 5
MilliSecond: 836071
Method2: Getting Current Date and Time if Network is available
urllib package helps us to handle the url's that means webpages. Here we collects data from the webpage http://just-the-time.appspot.com/ and parses dateime from the webpage using the package dateparser.
Code
from urllib.request import urlopen
import dateparser
time_url = urlopen(u'http://just-the-time.appspot.com/')
datetime = time_url.read().decode("utf-8", errors="ignore").split(' ')[:-1]
date = datetime[0]
time = datetime[1]
print("Date: "+str(date))
print("Year: "+str(date.split('-')[0]))
print("Month: "+str(date.split('-')[1]))
print("Day: "+str(date.split('-')[2])+'\n')
print("Time: "+str(time))
print("Hour: "+str(time.split(':')[0]))
print("Minute: "+str(time.split(':')[1]))
print("Second: "+str(time.split(':')[2]))
Output will be like
Date: 2020-04-18
Year: 2020
Month: 04
Day: 18
Time: 14:17:10
Hour: 14
Minute: 17
Second: 10
Method3: Getting Current Date and Time from Local Time of the Machine
Python's time module provides a function for getting local time from the number of seconds elapsed since the epoch called localtime(). ctime() function takes seconds passed since epoch as an argument and returns a string representing local time.
Code
from time import time, ctime
datetime = ctime(time()).split(' ')
print("Date: "+str(datetime[4])+"-"+str(datetime[1])+"-"+str(datetime[2]))
print("Year: "+str(datetime[4]))
print("Month: "+str(datetime[1]))
print("Day: "+str(datetime[2]))
print("Week Day: "+str(datetime[0])+'\n')
print("Time: "+str(datetime[3]))
print("Hour: "+str(datetime[3]).split(':')[0])
print("Minute: "+str(datetime[3]).split(':')[1])
print("Second: "+str(datetime[3]).split(':')[2])
Output will be like
Date: 2020-Apr-18
Year: 2020
Month: Apr
Day: 18
Week Day: Sat
Time: 19:30:20
Hour: 19
Minute: 30
Second: 20

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