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Use pandas. to_datetime() to Convert Integer to Date & Time Format. Let's suppose that your integers contain both the date and time. In that case, the format should be specify is '%Y%m%d%H%M%S' .
To convert number INT in minutes to TIME in MySQL, you can use SEC_TO_TIME() function. Insert some records in the table using insert command. Display all records from the table using select statement.
The constructor of the Date class receives a long value as an argument. Since the constructor of the Date class requires a long value, we need to convert the Timestamp object into a long value using the getTime() method of the TimeStamp class(present in SQL package).
datetime.datetime.fromtimestamp() is correct, except you are probably having timestamp in miliseconds (like in JavaScript), but fromtimestamp() expects Unix timestamp, in seconds.
Do it like that:
>>> import datetime
>>> your_timestamp = 1331856000000
>>> date = datetime.datetime.fromtimestamp(your_timestamp / 1e3)
and the result is:
>>> date
datetime.datetime(2012, 3, 16, 1, 0)
Does it answer your question?
EDIT: J.F. Sebastian correctly suggested to use true division by 1e3 (float 1000). The difference is significant, if you would like to get precise results, thus I changed my answer. The difference results from the default behaviour of Python 2.x, which always returns int when dividing (using / operator) int by int (this is called floor division). By replacing the divisor 1000 (being an int) with the 1e3 divisor (being representation of 1000 as float) or with float(1000) (or 1000. etc.), the division becomes true division. Python 2.x returns float when dividing int by float, float by int, float by float etc. And when there is some fractional part in the timestamp passed to fromtimestamp() method, this method's result also contains information about that fractional part (as the number of microseconds).
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