I know these questions have been asked before but I'm struggling to convert a timestamp string to a unix time and figuring out whether the datetime objects are naive or aware
For example, to convert the time "2021-05-19 12:51:47" to unix:
>>> from datetime import datetime as dt
>>> dt_obj = dt.strptime("2021-05-19 12:51:47", "%Y-%m-%d %H:%M:%S")
>>> dt_obj
datetime.datetime(2021, 5, 19, 12, 51, 47)
is dt_obj naive or aware and how would you determine this? The methods on dt_obj such as timetz, tzinfo, and tzname don't seem to indicate anything - does that mean that dt_obj is naive?
Then to get unix:
>>> dt_obj.timestamp()
1621421507.0
However when I check 1621421507.0 on say https://www.unixtimestamp.com then it tells me that gmt for the above is Wed May 19 2021 10:51:47 GMT+0000, ie 2 hours behind the original timestamp?
since Python's datetime treats naive datetime as local time by default, you need to set the time zone (tzinfo attribute):
from datetime import datetime, timezone
# assuming "2021-05-19 12:51:47" represents UTC:
dt_obj = datetime.fromisoformat("2021-05-19 12:51:47").replace(tzinfo=timezone.utc)
Or, as #Wolf suggested, instead of setting the tzinfo attribute explicitly, you can also modify the input string by adding "+00:00" which is parsed to UTC;
dt_obj = datetime.fromisoformat("2021-05-19 12:51:47" + "+00:00")
In any case, the result
dt_obj.timestamp()
# 1621428707.0
now converts as expected on https://www.unixtimestamp.com/:
As long as you don't specify the timezone when calling strptime, you will produce naive datetime objects. You may pass time zone information via %z format specifier and +00:00 added to the textual date-time representation to get a timezone aware datetime object:
from datetime import datetime
dt_str = "2021-05-19 12:51:47"
print(dt_str)
dt_obj = datetime.strptime(dt_str+"+00:00", "%Y-%m-%d %H:%M:%S%z")
print(dt_obj)
print(dt_obj.timestamp())
The of above script is this:
2021-05-19 12:51:47
2021-05-19 12:51:47+00:00
1621428707.0
datetime.timestamp()
Naive datetime instances are assumed to represent local time and this method relies on the platform C mktime() function to perform the conversion.
So using this does automatically apply yours machine current timezone, following recipe is given to calculate timestamp from naive datetime without influence of timezone:
timestamp = (dt - datetime(1970, 1, 1)) / timedelta(seconds=1)
I have this line of code-
future_end_date = datetime.strptime('2020/02/29','%Y/%m/%d')
and when I print this-
2020-02-29 00:00:00
it still shows the time component even though I did strptime
This is because strptime returns datetime rather than date. Try converting it to date:
datetime.strptime('2020/02/29','%Y/%m/%d').date()
datetime.strptime(date_string, format) function returns a datetime
object corresponding to date_string, parsed according to format.
When you print datetime object, it is formatted as a string in ISO
8601 format, YYYY-MM-DDTHH:MM:SS
So you need to convert the datetime into date if you only want Year, month and Day -
datetime.strptime('2020/02/29','%Y/%m/%d').date()
Another possible way is using strftime() method which returns a string representing date and time using date, time or datetime object.
datetime.strptime('2020/02/29','%Y/%m/%d').strftime('%Y/%m/%d')
Output of both code snippets -
2020/02/29
I have CSV file which contains various timezone dates, but before feeding those data to tests, I want to replace all the dates with unify value.
date column contains values like below,
2019-01-01 00:00:00+05:30
2018-12-31 18:30:00+00
2018-02-02 00:00:00-04:00
I want replace them like
2019-01-01 00:00:00+00
2018-12-31 00:00:00+00
2018-02-02 00:00:00+00
How do I write Regex to cover all possible timezones?
I wrote:
([0-9]){4}(-:?)([0-9]){2}(-:?)([0-9]){2} ([0-9]){2}:([0-9]){2}:([0-9]){2}(+-?)([0-9]){2}:([0-9]){2}
but it fails when it encounter 2018-12-31 18:30:00+00, How can I handle this case?
Tim Biegeleisen is very right, you should not be using regex for this, you should use a datetime API provided by Python. I have sourced my answer from an excellent post on this by jfs here
The below is for Python 3.3+ (since you have tagged your question with Python 3.0
time_string = "2019-01-01 00:00:00+05:30"
# Parses a datetime instance from a string
dt = datetime.datetime.strptime(time_string,'%Y-%m-%d %H:%M:%S%z')
# Changes the timezone to UTC by setting tzinfo
timestamp = dt.replace(tzinfo=datetime.timezone.utc).timestamp()
# Converts back to a datetime object
dt = datetime.datetime.fromtimestamp(timestamp)
# Formats and prints it out.
print(dt.strftime('%Y-%m-%d %H:%M:%S %Z'))
For Python versions < 3.3, for an aware datetime
time_string = "2019-01-01 00:00:00+05:30"
# Parses a datetime instance from a string
dt = datetime.datetime.strptime(time_string,'%Y-%m-%d %H:%M:%S%z')
# Changes the timezone to UTC by setting tzinfo
timestamp = (dt - datetime(1970,1,1, tzinfo=timezone.utc)) / timedelta(seconds=1)
# Converts back to a datetime object
dt = datetime.datetime.fromtimestamp(timestamp)
# Formats and prints it out.
print(dt.strftime('%Y-%m-%d %H:%M:%S %Z'))
Terminology
An aware object is used to represent a specific moment in time that is
not open to interpretation
For our case, timezone information is known.
The best way to solve this problem is using **python datetime **(strp and strf)
If you want to solve it using regex then as per python doc https://docs.python.org/2/library/re.html
you can do something like this
def dashrepl(matchobj):
return "{0} 00:00:00+00".format(matchobj.group(1))
import re
k="(\d{4}(-\d{2}){2})\s(\d{2}:?){3}.[\d:]+"
ab = re.sub(k, dashrepl, "2019-01-01 00:00:00+05:30")
You don't need to use regex for this as it seems to be straight forward. You can use the below snippet
ts = ["2019-01-01 00:00:00+05:30", "2018-12-31 18:30:00+00", "2018-02-02 00:00:00-04:00"]
l = [x.split()[0] + " 00:00:00+00" for x in ts]
OR
l = [x[:11] + "00:00:00+00" for x in ts]
I want to convert a naive datetime into a non naive datetime localized in the US/Mountain. Turns out it just gives me a non naive datetime.datetime.now() with a -06:00 at the end of the datetime.
naive_datetime = datetime.datetime.now() # Naive datetime
mtn_timezone = pytz.timezone("US/Mountain")
naive_datetime = mtn_timezone.localize(naive_datetime)
print(naive_datetime)
Expected output (US/Mountain date and time):
2019-07-04 22:05:04.644687-06:00
Received output:
2019-07-05 01:05:04.644487-06:00
This received output is actually my local datetime localized in Argentina
localize thinks the the time is correct, just missing timezone information. This is why it doesn't actually change the time.
You want astimezone instead, which gives the same moment in time, converted to the timezone of choice:
mtn_datetime = naive_datetime.astimezone(mtn_timezone)
I've never had to convert time to and from UTC. Recently had a request to have my app be timezone aware, and I've been running myself in circles. Lots of information on converting local time to UTC, which I found fairly elementary (maybe I'm doing that wrong as well), but I can not find any information on easily converting the UTC time to the end-users timezone.
In a nutshell, and android app sends me (appengine app) data and within that data is a timestamp. To store that timestamp to utc time I am using:
datetime.utcfromtimestamp(timestamp)
That seems to be working. When my app stores the data, it is being store as 5 hours ahead (I am EST -5)
The data is being stored on appengine's BigTable, and when retrieved it comes out as a string like so:
"2011-01-21 02:37:21"
How do I convert this string to a DateTime in the users correct time zone?
Also, what is the recommended storage for a users timezone information? (How do you typically store tz info ie: "-5:00" or "EST" etc etc ?) I'm sure the answer to my first question might contain a parameter the answers the second.
If you don't want to provide your own tzinfo objects, check out the python-dateutil library. It provides tzinfo implementations on top of a zoneinfo (Olson) database such that you can refer to time zone rules by a somewhat canonical name.
from datetime import datetime
from dateutil import tz
# METHOD 1: Hardcode zones:
from_zone = tz.gettz('UTC')
to_zone = tz.gettz('America/New_York')
# METHOD 2: Auto-detect zones:
from_zone = tz.tzutc()
to_zone = tz.tzlocal()
# utc = datetime.utcnow()
utc = datetime.strptime('2011-01-21 02:37:21', '%Y-%m-%d %H:%M:%S')
# Tell the datetime object that it's in UTC time zone since
# datetime objects are 'naive' by default
utc = utc.replace(tzinfo=from_zone)
# Convert time zone
central = utc.astimezone(to_zone)
Edit Expanded example to show strptime usage
Edit 2 Fixed API usage to show better entry point method
Edit 3 Included auto-detect methods for timezones (Yarin)
Here's a resilient method that doesn't depend on any external libraries:
from datetime import datetime
import time
def datetime_from_utc_to_local(utc_datetime):
now_timestamp = time.time()
offset = datetime.fromtimestamp(now_timestamp) - datetime.utcfromtimestamp(now_timestamp)
return utc_datetime + offset
This avoids the timing issues in DelboyJay's example. And the lesser timing issues in Erik van Oosten's amendment.
As an interesting footnote, the timezone offset computed above can differ from the following seemingly equivalent expression, probably due to daylight savings rule changes:
offset = datetime.fromtimestamp(0) - datetime.utcfromtimestamp(0) # NO!
Update: This snippet has the weakness of using the UTC offset of the present time, which may differ from the UTC offset of the input datetime. See comments on this answer for another solution.
To get around the different times, grab the epoch time from the time passed in. Here's what I do:
def utc2local(utc):
epoch = time.mktime(utc.timetuple())
offset = datetime.fromtimestamp(epoch) - datetime.utcfromtimestamp(epoch)
return utc + offset
See the datetime documentation on tzinfo objects. You have to implement the timezones you want to support yourself. The are examples at the bottom of the documentation.
Here's a simple example:
from datetime import datetime,tzinfo,timedelta
class Zone(tzinfo):
def __init__(self,offset,isdst,name):
self.offset = offset
self.isdst = isdst
self.name = name
def utcoffset(self, dt):
return timedelta(hours=self.offset) + self.dst(dt)
def dst(self, dt):
return timedelta(hours=1) if self.isdst else timedelta(0)
def tzname(self,dt):
return self.name
GMT = Zone(0,False,'GMT')
EST = Zone(-5,False,'EST')
print datetime.utcnow().strftime('%m/%d/%Y %H:%M:%S %Z')
print datetime.now(GMT).strftime('%m/%d/%Y %H:%M:%S %Z')
print datetime.now(EST).strftime('%m/%d/%Y %H:%M:%S %Z')
t = datetime.strptime('2011-01-21 02:37:21','%Y-%m-%d %H:%M:%S')
t = t.replace(tzinfo=GMT)
print t
print t.astimezone(EST)
Output
01/22/2011 21:52:09
01/22/2011 21:52:09 GMT
01/22/2011 16:52:09 EST
2011-01-21 02:37:21+00:00
2011-01-20 21:37:21-05:00a
If you want to get the correct result even for the time that corresponds to an ambiguous local time (e.g., during a DST transition) and/or the local utc offset is different at different times in your local time zone then use pytz timezones:
#!/usr/bin/env python
from datetime import datetime
import pytz # $ pip install pytz
import tzlocal # $ pip install tzlocal
local_timezone = tzlocal.get_localzone() # get pytz tzinfo
utc_time = datetime.strptime("2011-01-21 02:37:21", "%Y-%m-%d %H:%M:%S")
local_time = utc_time.replace(tzinfo=pytz.utc).astimezone(local_timezone)
This answer should be helpful if you don't want to use any other modules besides datetime.
datetime.utcfromtimestamp(timestamp) returns a naive datetime object (not an aware one). Aware ones are timezone aware, and naive are not. You want an aware one if you want to convert between timezones (e.g. between UTC and local time).
If you aren't the one instantiating the date to start with, but you can still create a naive datetime object in UTC time, you might want to try this Python 3.x code to convert it:
import datetime
d=datetime.datetime.strptime("2011-01-21 02:37:21", "%Y-%m-%d %H:%M:%S") #Get your naive datetime object
d=d.replace(tzinfo=datetime.timezone.utc) #Convert it to an aware datetime object in UTC time.
d=d.astimezone() #Convert it to your local timezone (still aware)
print(d.strftime("%d %b %Y (%I:%M:%S:%f %p) %Z")) #Print it with a directive of choice
Be careful not to mistakenly assume that if your timezone is currently MDT that daylight savings doesn't work with the above code since it prints MST. You'll note that if you change the month to August, it'll print MDT.
Another easy way to get an aware datetime object (also in Python 3.x) is to create it with a timezone specified to start with. Here's an example, using UTC:
import datetime, sys
aware_utc_dt_obj=datetime.datetime.now(datetime.timezone.utc) #create an aware datetime object
dt_obj_local=aware_utc_dt_obj.astimezone() #convert it to local time
#The following section is just code for a directive I made that I liked.
if sys.platform=="win32":
directive="%#d %b %Y (%#I:%M:%S:%f %p) %Z"
else:
directive="%-d %b %Y (%-I:%M:%S:%f %p) %Z"
print(dt_obj_local.strftime(directive))
If you use Python 2.x, you'll probably have to subclass datetime.tzinfo and use that to help you create an aware datetime object, since datetime.timezone doesn't exist in Python 2.x.
If using Django, you can use the timezone.localtime method:
from django.utils import timezone
date
# datetime.datetime(2014, 8, 1, 20, 15, 0, 513000, tzinfo=<UTC>)
timezone.localtime(date)
# datetime.datetime(2014, 8, 1, 16, 15, 0, 513000, tzinfo=<DstTzInfo 'America/New_York' EDT-1 day, 20:00:00 DST>)
The following worked for me in a Cloud environment for US west:
import datetime
import pytz
#set the timezone
tzInfo = pytz.timezone('America/Los_Angeles')
dt = datetime.datetime.now(tz=tzInfo)
print(dt)
Consolidating the answer from franksands into a convenient method.
import calendar
import datetime
def to_local_datetime(utc_dt):
"""
convert from utc datetime to a locally aware datetime according to the host timezone
:param utc_dt: utc datetime
:return: local timezone datetime
"""
return datetime.datetime.fromtimestamp(calendar.timegm(utc_dt.timetuple()))
You can use arrow
from datetime import datetime
import arrow
now = datetime.utcnow()
print(arrow.get(now).to('local').format())
# '2018-04-04 15:59:24+02:00'
you can feed arrow.get() with anything. timestamp, iso string etc
You can use calendar.timegm to convert your time to seconds since Unix epoch and time.localtime to convert back:
import calendar
import time
time_tuple = time.strptime("2011-01-21 02:37:21", "%Y-%m-%d %H:%M:%S")
t = calendar.timegm(time_tuple)
print time.ctime(t)
Gives Fri Jan 21 05:37:21 2011 (because I'm in UTC+03:00 timezone).
import datetime
def utc_str_to_local_str(utc_str: str, utc_format: str, local_format: str):
"""
:param utc_str: UTC time string
:param utc_format: format of UTC time string
:param local_format: format of local time string
:return: local time string
"""
temp1 = datetime.datetime.strptime(utc_str, utc_format)
temp2 = temp1.replace(tzinfo=datetime.timezone.utc)
local_time = temp2.astimezone()
return local_time.strftime(local_format)
utc_tz_example_str = '2018-10-17T00:00:00.111Z'
utc_fmt = '%Y-%m-%dT%H:%M:%S.%fZ'
local_fmt = '%Y-%m-%dT%H:%M:%S+08:00'
# call my function here
local_tz_str = utc_str_to_local_str(utc_tz_example_str, utc_fmt, local_fmt)
print(local_tz_str) # 2018-10-17T08:00:00+08:00
When I input utc_tz_example_str = 2018-10-17T00:00:00.111Z, （UTC +00:00）
then I will get local_tz_str = 2018-10-17T08:00:00+08:00 （My target timezone +08:00）
parameter utc_format is a format determined by your specific utc_tz_example_str.
parameter local_fmt is the final desired format.
In my case, my desired format is %Y-%m-%dT%H:%M:%S+08:00 ( +08:00 timezone). You should construct the format you want.
This worked for me:
from django.utils import timezone
from datetime import timedelta,datetime
ist_time = timezone.now() + timedelta(hours=5,minutes=30)
#second method
ist_time = datetime.now() + timedelta(hours=5,minutes=30)
I traditionally defer this to the frontend -- send times from the backend as timestamps or some other datetime format in UTC, then let the client figure out the timezone offset and render this data in the proper timezone.
For a webapp, this is pretty easy to do in javascript -- you can figure out the browser's timezone offset pretty easily using builtin methods and then render the data from the backend properly.
From the answer here, you can use the time module to convert from utc to the local time set in your computer:
utc_time = time.strptime("2018-12-13T10:32:00.000", "%Y-%m-%dT%H:%M:%S.%f")
utc_seconds = calendar.timegm(utc_time)
local_time = time.localtime(utc_seconds)
Here is a quick and dirty version that uses the local systems settings to work out the time difference. NOTE: This will not work if you need to convert to a timezone that your current system is not running in. I have tested this with UK settings under BST timezone
from datetime import datetime
def ConvertP4DateTimeToLocal(timestampValue):
assert isinstance(timestampValue, int)
# get the UTC time from the timestamp integer value.
d = datetime.utcfromtimestamp( timestampValue )
# calculate time difference from utcnow and the local system time reported by OS
offset = datetime.now() - datetime.utcnow()
# Add offset to UTC time and return it
return d + offset
Short and simple:
from datetime import datetime
t = "2011-01-21 02:37:21"
datetime.fromisoformat(t) + (datetime.now() - datetime.utcnow())