Converting unix timestamp string to readable date

Question

I have a string representing a unix timestamp (i.e. \"1284101485\") in Python, and I\'d like to convert it to a readable date. When I use time.strftime, I get a

Answer 1

You can use easy_date to make it easy:

import date_converter
my_date_string = date_converter.timestamp_to_string(1284101485, "%B %d, %Y")

Answer 2

>>> from datetime import datetime
>>> datetime.fromtimestamp(1172969203.1)
datetime.datetime(2007, 3, 4, 0, 46, 43, 100000)

Taken from http://seehuhn.de/pages/pdate

Answer 3

In Python 3.6+:

import datetime

timestamp = 1579117901
value = datetime.datetime.fromtimestamp(timestamp)
print(f"{value:%Y-%m-%d %H:%M:%S}")

Output

2020-01-15 19:51:41

Explanation

• Line #1: Import datetime library.
• Line #2: Unix time which is seconds since 1970-01-01.
• Line #3: Converts this to a unix time object, check with: type(value)
• Line #4: Prints in the same format as strp.

Bonus

To save the date to a string then print it, use this:

my_date = f"{value:%Y-%m-%d %H:%M:%S}"
print(my_date)

Answer 4

i just successfully used:

>>> type(tstamp)
pandas.tslib.Timestamp
>>> newDt = tstamp.date()
>>> type(newDt)
datetime.date

Answer 5

Other than using time/datetime package, pandas can also be used to solve the same problem.Here is how we can use pandas to convert timestamp to readable date:

Timestamps can be in two formats:

1. 13 digits(milliseconds) - To convert milliseconds to date, use:

   import pandas
   result_ms=pandas.to_datetime('1493530261000',unit='ms')
   str(result_ms)
   
   Output: '2017-04-30 05:31:01'
   

2. 10 digits(seconds) - To convert seconds to date, use:

   import pandas
   result_s=pandas.to_datetime('1493530261',unit='s')
   str(result_s)
   
   Output: '2017-04-30 05:31:01'
   

Answer 6

Another way that this can be done using gmtime and format function;

from time import gmtime
print('{}-{}-{} {}:{}:{}'.format(*gmtime(1538654264.703337)))

Output: 2018-10-4 11:57:44