Simple way to get the epoch of 12 AM for today in UTC in Python (3.x)? - python-3.x

I am trying to come up with the epoch of the start of the day (12AM midnight UTC) in Python. I found this snippet:
today = datetime.date.today()
time.mktime((today.year, today.month, today.day, 0, 0, 0, 0, 0, 0))
but the resulting epoch leads to today's date at 5AM. The reason I need this is because I have a script executing a SQL command that needs to filter using epoch time (for some reason, casting or extracting an epoch through native SQL results in my query finishing in 5 minutes, as compared to 12 seconds). I'm guessing that the code snippet I put above uses my local machine time.


You need to figure how what date it is currently in UTC, and then replace the time bits:
now = datetime.now(timezone.utc)
midnight = now.replace(hour = 0, minute = 0, second = 0, microsecond = 0)
In order to get the epoch, use midnight.timestamp(). This will ensure that the timezone information is applied when calculating the timestamp.

Related

Time Duration in python

Given two strings :
ex:
start_time="3:00 PM"
Duration="3:10"
Start time is in 12-hour clock format (ending in AM or PM), and duration time
that indicates the number of hours and minutes
Assume that the start times are valid times.The minutes in the duration time will
be a whole number less than 60, but the hour can be any whole number.
I need to add the duration time to the start time and return the result
(WITHOUT ANY USE OF LIBRARIES).
The result should be in 12-hour clock format (ending in AM or PM) indicates the
number of hours and minutes
ex:
start_time = "6:30 PM"
Duration = "205:12"
# Returns: 7:42 AM
I Tried and finally got the required answer but unable to produce correct AM or PM for
the result after addition.
what I Tried:
start_time = "6:30 PM"
Duration = "205:12"
#My answer =7:42
#expected :7:42 AM
Can someone help me with the logic to produce correct AM or PM after addition of start
time and Duration.
def add_time(a,b):
a=a.split()
b=b.split()
be=int(a[0][:a[0].find(':')])
af=int(a[0][a[0].find(':')+1:])
be1 = int(b[0][:b[0].find(':')])
af1 = int(b[0][b[0].find(':') + 1:])
return(((be+be1)//24)+1)
s=be+(be1)%12
p=af+af1
if ((s>12) and (p<60)) :
return(str(s-12)+":"+str(p))
elif ((s<12) and (p>60)) :
f = p-60
if len(str(f))<=1:
return(str(s+1)+":"+str('0'+str(f)))
else:
return (str(s + 1)+":"+(str(f)))
elif ((s<12) and (p<60)) :
return(str(s)+":"+str(p))
elif ((s>12) and (p>60)):
f=p-60
if len(str(f)) <= 1:
return (str((s -12)+1)+":"+('0' + str(f)))
else:
return (str((s -12)+1)+":"+(str(f)))
print(add_time("10:10 PM", "3:30"))
# Returns: 1:40 AM
print(add_time("11:43 PM", "24:20"))
# Returns: 12:03 AM

Your code does not seem to cover all edge cases, e.g. add_time("11:43 PM", "1:20") returns None because the case s==12 is not covered.
Therefore one should put <= instead of < in the respective if conditions. The case where the addition of the minutes leads to hours greater than 12 although the addition of the hours itself did not, is not covered either. So we should check the minutes first and the hours after that instead of simultaneously.
To make the code more readable, we use f-strings and can use str.split() with an argument, forgive me for changing the code quite a bit:
def add_time(a,b):
start = a.split()
start_h, start_m = [int(val) for val in start[0].split(':')]
start_app = start[1]
dur_h, dur_m = [int(val) for val in b.split(':')]
end_m = start_m+dur_m
end_h = end_m//60
end_m %= 60
end_h += start_h+dur_h
if (end_h//12)%2==0:
end_app = start_app
else:
end_app = 'AM' if start_app=='PM' else 'PM'
return f'{end_h:02}:{end_m:02} {end_app}'

Why is time conversion between epoch seconds and string changing time by 1 calendar year?

I am using the time module of python3 to convert time between seconds and formatted string. Python functions used to generate string are localtime and strftime. To generate the time in seconds, I use string splicing followed by mktime. As I call these repeatedly on each result, only the year changes, always incrementing the seconds by a full year.
Code used is as below:
import time
def time_string(t):
#t is second obtained by time.mktime((yr, mn, dy, hr, mn, sec, 0, 0, 0))
time_struct = time.localtime(t)
time_string = time.strftime("%Y-%m-%d %H:%M:%S", time_struct)
return time_string
def string_time(t_string):
#t_string has format '2020-01-31 08:23:35'
yr = int(t_string[:4])
mn = int(t_string[5:7])
dy = int(t_string[8:10])
hr = int(t_string[11:13])
mn = int(t_string[14:16])
se = int(t_string[17:])
t=int(time.mktime((yr, mn, dy, hr, mn, se, 0, 0, 0)))
return t
t = int(time.mktime((2020, 3, 19, 18, 15, 20, 0, 0, 0)))
print (t)
for x in range(5):
t_st = time_string(t)
print(t_st)
t = string_time(t_st)
print(t)
sys.exit("stopping..")
The results I get from above code execution is as follows:
1584621920
2020-03-19 18:15:20
1616157920
2021-03-19 18:15:20
1647693920
2022-03-19 18:15:20
1679229920
2023-03-19 18:15:20
1710852320
2024-03-19 18:15:20
1742388320
SystemExit: stopping..
What am I doing wrong? Why does this happen?
What is a better way of converting time-string to seconds?

I do not get the purpose of the question, so what you're actually trying to do, however if you have a string of a time, and you want to have the seconds of it, try using datetime.timestamp() instead of a time-string-splicing...
Your code is increasing in the year by one beacuse in your method string_time(t_string) you set the variable mn twice! One time at mn = int(t_string[5:7]) and once at mn = int(t_string[14:16]) which will result in a month of 15 which will adapt the year by 1 year and 3 month which will result in the one year for you

Found time.strptime to solve the problem of converting back from string using the right formatters. The following code eliminated the need to do string splicing
def string_time(t_string):
#t_string has format '2020-01-31 08:23:35'
t_struct = time.strptime(t_string,"%Y-%m-%d %H:%M:%S")
t = int(time.mktime(t_struct))
return t
Korbinian had already found the error in my code. Is there a reason why I should use the datetime module instead of the date module?

How can I Change the TimeZone in my Python enviornment

Im building a bots for some clients but want the bots to activate at the same time based on Eastern time only, since Im in New York, and thats the only time I do know by heart. I don't know what timezone any of my future clients will be in so I'd rather permanently set it contingent upon eastern time. I want them all to be timed to start at 11:00AM EST - US/Eastern
from pytz import timezone
import time, datetime
def Schedule():
tz = timezone('US/Eastern')
today = datetime.datetime.now(tz)
#today = datetime.datetime.now()
Activate = (datetime.datetime(today.year, today.month, today.day, 0, 50, 0) - today).seconds
#Uses Military Time 23, 25, 0 = 11:25:00PM
print('Waiting for ' + str(datetime.timedelta(seconds=Activate)))
time.sleep(Activate)
#Rest of the code will activate at the correct time that you set it
Schedule() #Uncomment this

how to choose certain elements of a matrix to create a new one with np.array?

I have a matrix called "times" of form (1,517) where are the times of a whole day 24 hours (in seconds Epoch time) and I want to create a new matrix with the times of each half hour, that is, starting from the first time then the one that corresponds to half hour later and so on until completing all the half hours that there are in a day, that is, 48
I created a delta of time with
dt = timedelta (hours = 0.5)
dts = timedelta.total_seconds (dt)
but I do not know how to do to indicate that my new matrix takes those elements
print(times.shape)
Out[4]: (1, 517)
print(times)
array([[1.55079361e+09, 1.55079377e+09, 1.55079394e+09, 1.55079410e+09,
1.55079430e+09, 1.55079446e+09, 1.55079462e+09, 1.55079479e+09,
1.55079495e+09, 1.55079512e+09, 1.55079528e+09, 1.55079544e+09,
1.55079561e+09, 1.55079577e+09, 1.55079594e+09, 1.55079614e+09,
1.55079630e+09, 1.55079646e+09, 1.55079663e+09, 1.55079679e+09,
1.55079695e+09, 1.55079712e+09, 1.55079728e+09, 1.55079744e+09,
1.55079761e+09, 1.55079781e+09, 1.55079797e+09, 1.55079814e+09,
1.55079830e+09, 1.55079846e+09, 1.55079863e+09, 1.55079879e+09,
1.55079895e+09, 1.55079912e+09, 1.55079928e+09, 1.55079945e+09,
1.55079964e+09, 1.55079981e+09, 1.55079997e+09, 1.55080014e+09,
1.55080030e+09, 1.55080046e+09, 1.55080063e+09, 1.55080079e+09,
1.55080096e+09, 1.55080112e+09, 1.55080128e+09, 1.55080148e+09,
1.55080164e+09, 1.55080181e+09, 1.55080197e+09, 1.55080214e+09,
1.55080230e+09, 1.55080246e+09, 1.55080263e+09, 1.55080279e+09,
1.55080296e+09, 1.55080312e+09, 1.55080332e+09, 1.55080348e+09,
1.55080364e+09, 1.55080381e+09, 1.55080397e+09, 1.55080414e+09,
1.55080430e+09, 1.55080446e+09, 1.55080463e+09, 1.55080479e+09,
1.55080496e+09, 1.55080516e+09, 1.55080532e+09, 1.55080548e+09,
1.55080565e+09, 1.55080581e+09, 1.55080597e+09, 1.55080614e+09,
1.55080630e+09, 1.55080646e+09, 1.55080663e+09, 1.55080683e+09,
1.55080699e+09, 1.55080716e+09, 1.55080732e+09, 1.55080748e+09,
1.55080765e+09, 1.55080781e+09, 1.55080797e+09, 1.55080814e+09,
1.55080830e+09, 1.55080847e+09, 1.55080866e+09, 1.55080883e+09,
1.55080899e+09, 1.55080916e+09, 1.55080932e+09, 1.55080948e+09,
1.55080965e+09, 1.55080981e+09, 1.55080998e+09, 1.55081014e+09,
1.55081030e+09, 1.55081050e+09, 1.55081066e+09, 1.55081083e+09,
1.55081099e+09, 1.55081116e+09, 1.55081132e+09, 1.55081148e+09,
1.55081165e+09, 1.55081181e+09, 1.55081198e+09, 1.55081214e+09,
1.55081234e+09, 1.55081250e+09, 1.55081266e+09, 1.55081283e+09,
1.55081299e+09, 1.55081316e+09, 1.55081332e+09, 1.55081348e+09,
1.55081365e+09, 1.55081381e+09, 1.55081398e+09, 1.55081418e+09,
1.55081434e+09, 1.55081450e+09, 1.55081467e+09, 1.55081483e+09,
1.55081499e+09, 1.55081516e+09, 1.55081532e+09, 1.55081548e+09,
1.55081565e+09, 1.55081585e+09, 1.55081601e+09, 1.55081618e+09,
1.55081634e+09, 1.55081650e+09, 1.55081667e+09, 1.55081683e+09,
1.55081699e+09, 1.55081716e+09, 1.55081732e+09, 1.55081749e+09,
1.55081768e+09, 1.55081785e+09, 1.55081801e+09, 1.55081818e+09,
1.55081834e+09, 1.55081850e+09, 1.55081867e+09, 1.55081883e+09,
1.55081900e+09, 1.55081916e+09, 1.55081932e+09, 1.55081952e+09,
1.55081968e+09, 1.55081985e+09, 1.55082001e+09, 1.55082018e+09,
1.55082034e+09, 1.55082050e+09, 1.55082067e+09, 1.55082083e+09,
1.55082100e+09, 1.55082116e+09, 1.55082136e+09, 1.55082152e+09,
1.55082168e+09, 1.55082185e+09, 1.55082201e+09, 1.55082218e+09,
1.55082234e+09, 1.55082250e+09, 1.55082267e+09, 1.55082283e+09,
1.55082300e+09, 1.55082320e+09, 1.55082336e+09, 1.55082352e+09,
1.55082369e+09, 1.55082385e+09, 1.55082401e+09, 1.55082418e+09,
1.55082434e+09, 1.55082450e+09, 1.55082467e+09, 1.55082487e+09,
1.55082503e+09, 1.55082520e+09, 1.55082536e+09, 1.55082552e+09,
1.55082569e+09, 1.55082585e+09, 1.55082601e+09, 1.55082618e+09,
1.55082634e+09, 1.55082651e+09, 1.55082670e+09, 1.55082687e+09,
1.55082703e+09, 1.55082720e+09, 1.55082736e+09, 1.55082752e+09,
1.55082769e+09, 1.55082785e+09, 1.55082802e+09, 1.55082818e+09,
1.55082834e+09, 1.55082854e+09, 1.55082870e+09, 1.55082887e+09,
1.55082903e+09, 1.55082920e+09, 1.55082936e+09, 1.55082952e+09,
1.55082969e+09, 1.55082985e+09, 1.55083002e+09, 1.55083018e+09,
1.55083038e+09, 1.55083054e+09, 1.55083070e+09, 1.55083087e+09,
1.55083103e+09, 1.55083120e+09, 1.55083136e+09, 1.55083152e+09,
1.55083169e+09, 1.55083185e+09, 1.55083202e+09, 1.55083222e+09,
1.55083238e+09, 1.55083254e+09, 1.55083271e+09, 1.55083287e+09,
1.55083303e+09, 1.55083320e+09, 1.55083336e+09, 1.55083352e+09,
1.55083369e+09, 1.55083389e+09, 1.55083405e+09, 1.55083422e+09,
1.55083438e+09, 1.55083454e+09, 1.55083471e+09, 1.55083487e+09,
1.55083503e+09, 1.55083520e+09, 1.55083536e+09, 1.55083553e+09,
1.55083572e+09, 1.55083589e+09, 1.55083605e+09, 1.55083622e+09,
1.55083638e+09, 1.55083654e+09, 1.55083671e+09, 1.55083687e+09,
1.55083704e+09, 1.55083720e+09, 1.55083736e+09, 1.55083756e+09,
1.55083772e+09, 1.55083789e+09, 1.55083805e+09, 1.55083822e+09,
1.55083838e+09, 1.55083854e+09, 1.55083871e+09, 1.55083887e+09,
1.55083904e+09, 1.55083920e+09, 1.55083940e+09, 1.55083956e+09,
1.55083972e+09, 1.55083989e+09, 1.55084005e+09, 1.55084022e+09,
1.55084038e+09, 1.55084054e+09, 1.55084071e+09, 1.55084087e+09,
1.55084104e+09, 1.55084124e+09, 1.55084140e+09, 1.55084156e+09,
1.55084173e+09, 1.55084189e+09, 1.55084205e+09, 1.55084222e+09,
1.55084238e+09, 1.55084254e+09, 1.55084271e+09, 1.55084291e+09,
1.55084307e+09, 1.55084324e+09, 1.55084340e+09, 1.55084356e+09,
1.55084373e+09, 1.55084389e+09, 1.55084405e+09, 1.55084422e+09,
1.55084438e+09, 1.55084455e+09, 1.55084474e+09, 1.55084491e+09,
1.55084507e+09, 1.55084524e+09, 1.55084540e+09, 1.55084556e+09,
1.55084573e+09, 1.55084589e+09, 1.55084606e+09, 1.55084622e+09,
1.55084638e+09, 1.55084658e+09, 1.55084674e+09, 1.55084691e+09,
1.55084707e+09, 1.55084724e+09, 1.55084740e+09, 1.55084756e+09,
1.55084773e+09, 1.55084789e+09, 1.55084806e+09, 1.55084822e+09,
1.55084842e+09, 1.55084858e+09, 1.55084874e+09, 1.55084891e+09,
1.55084907e+09, 1.55084924e+09, 1.55084940e+09, 1.55084956e+09,
1.55084973e+09, 1.55084989e+09, 1.55085006e+09, 1.55085026e+09,
1.55085042e+09, 1.55085058e+09, 1.55085075e+09, 1.55085091e+09,
1.55085107e+09, 1.55085124e+09, 1.55085140e+09, 1.55085156e+09,
1.55085173e+09, 1.55085193e+09, 1.55085209e+09, 1.55085226e+09,
1.55085242e+09, 1.55085258e+09, 1.55085275e+09, 1.55085291e+09,
1.55085307e+09, 1.55085324e+09, 1.55085340e+09, 1.55085357e+09,
1.55085376e+09, 1.55085393e+09, 1.55085409e+09, 1.55085426e+09,
1.55085442e+09, 1.55085458e+09, 1.55085475e+09, 1.55085491e+09,
1.55085508e+09, 1.55085524e+09, 1.55085540e+09, 1.55085560e+09,
1.55085576e+09, 1.55085593e+09, 1.55085609e+09, 1.55085626e+09,
1.55085642e+09, 1.55085658e+09, 1.55085675e+09, 1.55085691e+09,
1.55085708e+09, 1.55085724e+09, 1.55085744e+09, 1.55085760e+09,
1.55085776e+09, 1.55085793e+09, 1.55085809e+09, 1.55085826e+09,
1.55085842e+09, 1.55085858e+09, 1.55085875e+09, 1.55085891e+09,
1.55085908e+09, 1.55085928e+09, 1.55085944e+09, 1.55085960e+09,
1.55085977e+09, 1.55085993e+09, 1.55086009e+09, 1.55086026e+09,
1.55086042e+09, 1.55086058e+09, 1.55086075e+09, 1.55086095e+09,
1.55086111e+09, 1.55086128e+09, 1.55086144e+09, 1.55086160e+09,
1.55086177e+09, 1.55086193e+09, 1.55086209e+09, 1.55086226e+09,
1.55086242e+09, 1.55086259e+09, 1.55086278e+09, 1.55086295e+09,
1.55086311e+09, 1.55086328e+09, 1.55086344e+09, 1.55086360e+09,
1.55086377e+09, 1.55086393e+09, 1.55086410e+09, 1.55086426e+09,
1.55086442e+09, 1.55086462e+09, 1.55086478e+09, 1.55086495e+09,
1.55086511e+09, 1.55086528e+09, 1.55086544e+09, 1.55086560e+09,
1.55086577e+09, 1.55086593e+09, 1.55086610e+09, 1.55086626e+09,
1.55086646e+09, 1.55086662e+09, 1.55086678e+09, 1.55086695e+09,
1.55086711e+09, 1.55086728e+09, 1.55086744e+09, 1.55086760e+09,
1.55086777e+09, 1.55086793e+09, 1.55086810e+09, 1.55086830e+09,
1.55086846e+09, 1.55086862e+09, 1.55086879e+09, 1.55086895e+09,
1.55086911e+09, 1.55086928e+09, 1.55086944e+09, 1.55086960e+09,
1.55086977e+09, 1.55086997e+09, 1.55087013e+09, 1.55087030e+09,
1.55087046e+09, 1.55087062e+09, 1.55087079e+09, 1.55087095e+09,
1.55087111e+09, 1.55087128e+09, 1.55087144e+09, 1.55087161e+09,
1.55087180e+09, 1.55087197e+09, 1.55087213e+09, 1.55087230e+09,
1.55087246e+09, 1.55087262e+09, 1.55087279e+09, 1.55087295e+09,
1.55087312e+09, 1.55087328e+09, 1.55087344e+09, 1.55087364e+09,
1.55087380e+09, 1.55087397e+09, 1.55087413e+09, 1.55087430e+09,
1.55087446e+09, 1.55087462e+09, 1.55087479e+09, 1.55087495e+09,
1.55087512e+09, 1.55087528e+09, 1.55087548e+09, 1.55087564e+09,
1.55087580e+09, 1.55087597e+09, 1.55087613e+09, 1.55087630e+09,
1.55087646e+09, 1.55087662e+09, 1.55087679e+09, 1.55087695e+09,
1.55087712e+09, 1.55087732e+09, 1.55087748e+09, 1.55087764e+09,
1.55087781e+09, 1.55087797e+09, 1.55087813e+09, 1.55087830e+09,
1.55087846e+09, 1.55087862e+09, 1.55087879e+09, 1.55087899e+09,
1.55087915e+09, 1.55087932e+09, 1.55087948e+09, 1.55087964e+09,
1.55087981e+09]])

First we create an array with a date range between the first and last entry of times
t = np.arange(np.datetime64(datetime.datetime.fromtimestamp(times[0,0])), np.datetime64(datetime.datetime.fromtimestamp(times[0,-1])), np.timedelta64(30, 'm'))
Output for t
array(['2019-02-22T01:00:10.000000', '2019-02-22T01:30:10.000000',
'2019-02-22T02:00:10.000000', '2019-02-22T02:30:10.000000',
'2019-02-22T03:00:10.000000', '2019-02-22T03:30:10.000000',
'2019-02-22T04:00:10.000000', '2019-02-22T04:30:10.000000',
'2019-02-22T05:00:10.000000', '2019-02-22T05:30:10.000000',
'2019-02-22T06:00:10.000000', '2019-02-22T06:30:10.000000',
'2019-02-22T07:00:10.000000', '2019-02-22T07:30:10.000000',
'2019-02-22T08:00:10.000000', '2019-02-22T08:30:10.000000',
'2019-02-22T09:00:10.000000', '2019-02-22T09:30:10.000000',
'2019-02-22T10:00:10.000000', '2019-02-22T10:30:10.000000',
'2019-02-22T11:00:10.000000', '2019-02-22T11:30:10.000000',
'2019-02-22T12:00:10.000000', '2019-02-22T12:30:10.000000',
'2019-02-22T13:00:10.000000', '2019-02-22T13:30:10.000000',
'2019-02-22T14:00:10.000000', '2019-02-22T14:30:10.000000',
'2019-02-22T15:00:10.000000', '2019-02-22T15:30:10.000000',
'2019-02-22T16:00:10.000000', '2019-02-22T16:30:10.000000',
'2019-02-22T17:00:10.000000', '2019-02-22T17:30:10.000000',
'2019-02-22T18:00:10.000000', '2019-02-22T18:30:10.000000',
'2019-02-22T19:00:10.000000', '2019-02-22T19:30:10.000000',
'2019-02-22T20:00:10.000000', '2019-02-22T20:30:10.000000',
'2019-02-22T21:00:10.000000', '2019-02-22T21:30:10.000000',
'2019-02-22T22:00:10.000000', '2019-02-22T22:30:10.000000',
'2019-02-22T23:00:10.000000', '2019-02-22T23:30:10.000000',
'2019-02-23T00:00:10.000000', '2019-02-23T00:30:10.000000'],
dtype='datetime64[us]')
Now, we want to calculate this back to seconds. To do this, we create a lambda function which does this for a single element of the array and use np.apply_along_axis to perform this operation element-wise on the array.
f = lambda x: (x - np.datetime64('1970-01-01T00:00:00Z'))/np.timedelta64(1,'s')
np.apply_along_axis(f, 0, t)
output
array([1.55079721e+09, 1.55079901e+09, 1.55080081e+09, 1.55080261e+09,
1.55080441e+09, 1.55080621e+09, 1.55080801e+09, 1.55080981e+09,
1.55081161e+09, 1.55081341e+09, 1.55081521e+09, 1.55081701e+09,
1.55081881e+09, 1.55082061e+09, 1.55082241e+09, 1.55082421e+09,
1.55082601e+09, 1.55082781e+09, 1.55082961e+09, 1.55083141e+09,
1.55083321e+09, 1.55083501e+09, 1.55083681e+09, 1.55083861e+09,
1.55084041e+09, 1.55084221e+09, 1.55084401e+09, 1.55084581e+09,
1.55084761e+09, 1.55084941e+09, 1.55085121e+09, 1.55085301e+09,
1.55085481e+09, 1.55085661e+09, 1.55085841e+09, 1.55086021e+09,
1.55086201e+09, 1.55086381e+09, 1.55086561e+09, 1.55086741e+09,
1.55086921e+09, 1.55087101e+09, 1.55087281e+09, 1.55087461e+09,
1.55087641e+09, 1.55087821e+09, 1.55088001e+09, 1.55088181e+09])

NodeJs How to use moment-timezone to convert Epoch to Specific TImezone and format

I have a use-case in which I want to convert an Epoch integer value into a specific Timezone time and a specific format,
Also, I want to convert a human-readable date time into epoch.
I am trying to use moment-tz for the timezone conversion.
I using a specific Epoch timestamp 1555296000 which is -
Monday, April 15, 2019 10:40:00 AM in Kuala Lampur Malaysia,
I am able to convert 2019-04-15 10:40:00 of Asia/Kuala_Lumpur timezone into correct Unix.
But I am unable to convert 1555296000 into another timezone's unix,
i.e I wish to convert 1555296000 into equivalent YYYY-MM-DD hh:mm:ss of Asia/Calcutta timezone.
Following is the code I'm trying to work with -
var moment = require('moment-timezone');
console.log("Convert from Asia/Kuala_Lumpur to Unix -> ", moment.tz("2019-04-15 10:40:00","Asia/Kuala_Lumpur").unix());
// Outputs - 1555296000
console.log("Epoch to Specific TimeZone and Format -> ",moment(1555296000).tz("Asia/Calcutta").format('YYYY-MM-DD hh:mm:ss'));
// Outputs - 1970-01-19 05:31:36
// I want - 2019-04-15 08:10:00

Try this out
const moment = require("moment-timezone");
console.log(
moment
.unix(1555296000)
.tz("Asia/Calcutta")
.format("YYYY-MM-DD HH:mm:ss")
);
2019-04-15 08:10:00 - "Asia/Calcutta" is 2019-04-15 10:40:00 - "Asia/Kuala_Lumpur"

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