Given all possible time formats I can get from my user (chatbot):
09:03
9:23A.M.
9:23 A.m.
13:44 pm
20:00 P.m
15:40
00:00
12:33
4:33p.M
...
I want to convert them to appropriate time. There won't be one format I can use.
Please advise how to solve such issue?
I have tried with strptime from the datetime package but I need to specify format and it can be different every time.
Find my answer thanks to this amazing source!
Posting for others:
dateutil
The dateutil module is an extension to the datetime module. We don't need to pass any parsing code to parse a string. For example:
from dateutil.parser import parse
datetime = parse('2018-06-29 22:21:41')
print(datetime)
This parse function will parse the string automatically and store it in the datetime variable. Parsing is done automatically. You don't have to mention any format string. Let's try to parse different types of strings using dateutil:
from dateutil.parser import parse
date_array = [
'2018-06-29 08:15:27.243860',
'Jun 28 2018 7:40AM',
'Jun 28 2018 at 7:40AM',
'September 18, 2017, 22:19:55',
'Sun, 05/12/1999, 12:30PM',
'Mon, 21 March, 2015',
'2018-03-12T10:12:45Z',
'2018-06-29 17:08:00.586525+00:00',
'2018-06-29 17:08:00.586525+05:00',
'Tuesday , 6th September, 2017 at 4:30pm'
]
for date in date_array:
print('Parsing: ' + date)
dt = parse(date)
print(dt.date())
print(dt.time())
print(dt.tzinfo)
print('\n')
Output:
$ python3 dateutil-1.py
Parsing: 2018-06-29 08:15:27.243860
2018-06-29
08:15:27.243860
None
Parsing: Jun 28 2018 7:40AM
2018-06-28
07:40:00
None
Parsing: Jun 28 2018 at 7:40AM
2018-06-28
07:40:00
None
Parsing: September 18, 2017, 22:19:55
2017-09-18
22:19:55
None
Parsing: Sun, 05/12/1999, 12:30PM
1999-05-12
12:30:00
None
Parsing: Mon, 21 March, 2015
2015-03-21
00:00:00
None
Parsing: 2018-03-12T10:12:45Z
2018-03-12
10:12:45
tzutc()
Parsing: 2018-06-29 17:08:00.586525+00:00
2018-06-29
17:08:00.586525
tzutc()
Parsing: 2018-06-29 17:08:00.586525+05:00
2018-06-29
17:08:00.586525
tzoffset(None, 18000)
Parsing: Tuesday , 6th September, 2017 at 4:30pm
2017-09-06
16:30:00
None
You can see that almost any type of string can be parsed easily using the dateutil module.
Maya
Maya also makes it very easy to parse a string and for changing timezones. Some simple examples are shown below:
import maya
dt = maya.parse('2018-04-29T17:45:25Z').datetime()
print(dt.date())
print(dt.time())
print(dt.tzinfo)
Output:
$ python3 maya-1.py
2018-04-29
17:45:25
UTC
For converting the time to a different timezone:
import maya
dt = maya.parse('2018-04-29T17:45:25Z').datetime(to_timezone='America/New_York', naive=False)
print(dt.date())
print(dt.time())
print(dt.tzinfo)
Output:
$ python3 maya-2.py
2018-04-29
13:45:25
America/New_York
Now isn't that easy to use? Let's try out maya with the same set of strings we have used with dateutil:
import maya
date_array = [
'2018-06-29 08:15:27.243860',
'Jun 28 2018 7:40AM',
'Jun 28 2018 at 7:40AM',
'September 18, 2017, 22:19:55',
'Sun, 05/12/1999, 12:30PM',
'Mon, 21 March, 2015',
'2018-03-12T10:12:45Z',
'2018-06-29 17:08:00.586525+00:00',
'2018-06-29 17:08:00.586525+05:00',
'Tuesday , 6th September, 2017 at 4:30pm'
]
for date in date_array:
print('Parsing: ' + date)
dt = maya.parse(date).datetime()
print(dt)
print(dt.date())
print(dt.time())
print(dt.tzinfo)
Output:
$ python3 maya-3.py
Parsing: 2018-06-29 08:15:27.243860
2018-06-29 08:15:27.243860+00:00
2018-06-29
08:15:27.243860
UTC
Parsing: Jun 28 2018 7:40AM
2018-06-28 07:40:00+00:00
2018-06-28
07:40:00
UTC
Parsing: Jun 28 2018 at 7:40AM
2018-06-28 07:40:00+00:00
2018-06-28
07:40:00
UTC
Parsing: September 18, 2017, 22:19:55
2017-09-18 22:19:55+00:00
2017-09-18
22:19:55
UTC
Parsing: Sun, 05/12/1999, 12:30PM
1999-05-12 12:30:00+00:00
1999-05-12
12:30:00
UTC
Parsing: Mon, 21 March, 2015
2015-03-21 00:00:00+00:00
2015-03-21
00:00:00
UTC
Parsing: 2018-03-12T10:12:45Z
2018-03-12 10:12:45+00:00
2018-03-12
10:12:45
UTC
Parsing: 2018-06-29 17:08:00.586525+00:00
2018-06-29 17:08:00.586525+00:00
2018-06-29
17:08:00.586525
UTC
Parsing: 2018-06-29 17:08:00.586525+05:00
2018-06-29 12:08:00.586525+00:00
2018-06-29
12:08:00.586525
UTC
Parsing: Tuesday , 6th September, 2017 at 4:30pm
2017-09-06 16:30:00+00:00
2017-09-06
16:30:00
UTC
As you can see, all date formats were parsed, but did you notice the difference? If we are not providing the timezone info it automatically converts it to UTC. So, it is important to note that we need to provide to_timezone and naive parameters if the time is not in UTC.
Related
How to convert any date format in milliseonds in linux/centos/rhel with shell script
Date formats like:
Thu, 23 Jun 2022 08:27:26 +0000,
Thu Jun 23 11:11:43 UTC 2022,
2022-06-23T08:28:23Z
This can be converted in milliseconds with command:
date -d "2022-06-23T08:28:23Z" +"%s%N"
Any other format of date can also be converted with above command like:
date -d "Thu, 23 Jun 2022 08:27:26 +0000" +"%s%N"
date -d "Thu Jun 23 11:11:43 UTC 2022" +"%s%N"
In Python, how can I format the current time in localized (regional appropriate) date and time format without the seconds?
For example, the output below should hot have the :41 in the output, but it should preserve all other regional features such as: the the ordering of the day and month, the month abbreviation, the 12hr or 24hr format, the AM or PM indicator, etc.
(Note that I explicitly set different locales below for testing purposes only, but I will be relying on the system set local).
import time
import locale
locale.setlocale(locale.LC_ALL, 'en_US.UTF-8')
'en_US.UTF-8'
time.strftime('%x %X')
'12/11/2020 07:35:41 PM'
time.strftime('%c')
'Fri 11 Dec 2020 07:35:41 PM EST'
locale.setlocale(locale.LC_ALL, 'en_GB.UTF-8')
'en_GB.UTF-8'
time.strftime('%x %X')
'11/12/20 19:35:41'
time.strftime('%c')
'Fri 11 Dec 2020 19:35:41 EST'
locale.setlocale(locale.LC_ALL, 'en_CA.UTF-8')
'en_CA.UTF-8'
time.strftime('%x %X')
'2020-12-11 07:35:41 PM'
time.strftime('%c')
'Fri 11 Dec 2020 07:35:41 PM'
locale.setlocale(locale.LC_ALL, 'en_AU.UTF-8')
'en_AU.UTF-8'
time.strftime('%x %X')
'11/12/20 19:35:41'
time.strftime('%c')
'Fri 11 Dec 2020 19:35:41'
I have a column of timestamp converted to human readable form.
I have tried to sort it from epochtime as well as after converting. It's giving me
Fri, 08 Feb 2019 17:24:16 IST
Mon, 11 Feb 2019 02:19:40 IST
Sat, 09 Feb 2019 00:22:43 IST
which is not sorted.
I have used sort_values()
each_tracker_df = each_tracker_df.sort_values(["timestamp"],ascending=True)
why it isn't working??
Since all the time is in IST. Replace the string IST with NULL.
>>import datetime
>>times=['Fri, 10 Feb 2010 17:24:16','Fri, 11 Feb 2010 17:24:16','Fri, 11 Feb 2019 17:24:16']
>>change_format=[]
>> for time in times:
change_format.append(datetime.datetime.strptime(time, '%a, %d %b %Y %H:%M:%S'))
>>change_format.sort()
Hi I have time converted into gmt as below
2016-11-18 13:00:00+00:00
I want to convert this into millis which I am doing as below
epoch = int(time.mktime(datetime_in_gmt.timetuple()))
>>>print(epoch)
1479454200
and then when I do use this link http://www.epochconverter.com/ and paste this epoch i.e 1479454200 I get the result as
GMT: Fri, 18 Nov 2016 07:30:00 GMT
Your time zone: Friday 18 November 2016 01:00:00 PM IST GMT+5:30
I am not getting as why I am getting 18 Nov 7.30 as GMT because my GMT time was 2016-11-18 13:00:00+00:00 ?
any suggestion
Instead of timetuple use timestamp.
Something like
int(datetime_in_gmt.timestamp()) * 1000
is there any way to convert date string Tue Feb 23 2016 20:11:42 GMT+0200 (EET) to timestamp in nodejs?
I was trying to use moment.js with this:
moment('Tue Feb 23 2016 20:11:42 GMT+0200 (EET)', 'YYYY-MM-DD HH:mm:ss').valueOf()
but it returned NaN to me. Maybe its impossible?
There's no need for moment.js
var d = new Date("Tue Feb 23 2016 20:11:42 GMT+0200 (EET)");
var timeStamp = d.getTime();
Another way to do it with moment, but a little unnecessary is:
moment(Date.parse('Tue Feb 23 2016 20:11:42 GMT+0200 (EET)')).format('YYYY-MM-DD HH:mm:ss');
change format with any other format you may desire.