Aug 28, 2012 · Subtracting two datetime.datetime objects gives you a timedelta object, which has a .total_seconds () method (added in Python 2.7). Divide this by 60 and cast to int () to get minutes since your reference date: import datetime january1st = datetime.datetime (2012, 01, 01) timesince = datetime.datetime.now () - january1st minutessince = int ...
The timestamp method was added in Python 3.3. So if you're using Python 2.0, or even 2.7, you don't have it. There are backports of current datetime to older Python versions on PyPI, but none of them seems to be official, or up-to-date; you might want to try searching for yourself.. There are also a number of third-party replacement libraries that add functionality that isn't in (2.x) …
28.08.2012 · Subtracting two datetime.datetime objects gives you a timedelta object, which has a .total_seconds () method (added in Python 2.7). Divide this by 60 and cast to int () to get minutes since your reference date: import datetime january1st = datetime.datetime (2012, 01, 01) timesince = datetime.datetime.now () - january1st minutessince = int ...
61. your column 'time' is of dtype timedelta as the error tells you; you could use the total_seconds () method to convert to seconds and divide by 60 to get the minutes. If you want a full-featured datetime column, combine 'date' and 'time'. Then you can use .dt.minute.
datetime — Basic date and time types, timedelta Objects¶. A timedelta object represents a duration, the difference between two dates or times. class datetime.
timestamp = ((dt - datetime(1970, 1, 1)).total_seconds() / float(timedelta(seconds=1).total_seconds())) But in this particular case, it should be pretty obvious that the divisor is just going to be 1.0, and dividing by 1.0 is the same as doing nothing, so: timestamp = (dt - datetime(1970, 1, 1)).total_seconds()
Nov 24, 2021 · In that case (if you haven’t found a backport), you have to do division manually as well, by calling total_seconds on each one, making sure at least one of them is a float, and dividing the numbers: timestamp = ( (dt - datetime (1970, 1, 1)).total_seconds () / float (timedelta (seconds=1).total_seconds ())) Python.
09.03.2017 · When I run a Python client to insert data into InfluxDb with a specific timestamp it returns this error: 'datetime.timedelta' object has no attribute 'total_seconds'. I …
A datetime object (of the datetime module) has integers stored in the attributes year, month, day, hour, minute, and second. • A timedelta object (of the ...
Nov 26, 2019 · to_datetime will return a datetime64 value that doesn't have the same methods/attributes of a regular python datetime. You'll need to use the .dt accessor, so something like df['timestamp'] = df['recorded_time'].dt. but then total_seconds() is a datetime.timedelta method from python, so I don't really follow what you expect that to be doing, even if we translated it to pandas.
Example 1: type object 'datetime.datetime' has no attribute 'timedelta' # Use either import datetime datetime.datetime.timedelta() # or from datetime import ...
Apr 30, 2013 · AttributeError: 'datetime.timedelta' object has no attribute 'total_seconds' The text was updated successfully, but these errors were encountered: Copy link
24.11.2021 · And then, instead of calling start_date.timestamp(), you just call to_seconds(start_date). Solution 2. The timestamp method was added in Python 3.3.So if you’re using Python 2.0, or even 2.7, you don’t have it. There are backports of current datetime to older Python versions on PyPI, but none of them seems to be official, or up-to-date; you might want …