## Python speed testing - Time Difference - milliseconds

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What is the proper way to compare 2 times in Python in order to speed test a section of code? I tried reading the API docs. I'm not sure I understand the timedelta thing.

So far I have this code:

```from datetime import datetime

tstart = datetime.now()
print t1

# code to speed test

tend = datetime.now()
print t2
# what am I missing?
# I'd like to print the time diff here
```

`datetime.timedelta` is just the difference between two datetimes ... so it's like a period of time, in days / seconds / microseconds

```>>> import datetime
>>> a = datetime.datetime.now()
>>> b = datetime.datetime.now()
>>> c = b - a

>>> c
datetime.timedelta(0, 4, 316543)
>>> c.days
0
>>> c.seconds
4
>>> c.microseconds
316543
```

Be aware that `c.microseconds` only returns the microseconds portion of the timedelta! For timing purposes always use `c.total_seconds()`.

You can do all sorts of maths with datetime.timedelta, eg:

```>>> c / 10
datetime.timedelta(0, 0, 431654)
```

It might be more useful to look at CPU time instead of wallclock time though ... that's operating system dependant though ... under Unix-like systems, check out the 'time' command.

Python speed testing - Time Difference - milliseconds, What is the proper way to compare 2 times in Python in order to speed test a section of code? I tried reading the API docs. I'm not sure I understand the timedelta� Since Python 2.7 there's the timedelta.total_seconds () method. So, to get the elapsed milliseconds: >>> import datetime >>> a = datetime.datetime.now() >>> b = datetime.datetime.now() >>> delta = b - a >>> print delta 0:00:05.077263 >>> int(delta.total_seconds() * 1000) # milliseconds 5077. share. Share a link to this answer.

Since Python 2.7 there's the timedelta.total_seconds() method. So, to get the elapsed milliseconds:

```>>> import datetime
>>> a = datetime.datetime.now()
>>> b = datetime.datetime.now()
>>> delta = b - a
>>> print delta
0:00:05.077263
>>> int(delta.total_seconds() * 1000) # milliseconds
5077
```

Python speed testing - Time Difference - milliseconds, What is the proper way to compare 2 times in Python in order to speed test a section of code? I tried reading the API docs. I'm not sure I understand the timedelta� Since Python 2.7 there's the timedelta.total_seconds() method. So, to get the elapsed milliseconds:

You might want to use the timeit module instead.

Python speed testing - Time Difference, What is the proper way to compare 2 times in Python in order to speed test a section of code? I tried reading the API docs. I'm not sure I understand the timedelta� Python speed testing-Time Difference-milliseconds (8) datetime.timedelta is just the difference between two datetimes so it's like a period of time, in days / seconds / microseconds. >> > a = datetime.datetime.now () >> > b = datetime.datetime.now () >> > c = b - a >> > c datetime.timedelta ( 0, 4, 316543 ) >> > c.days 0 >> > c.seconds 4 >> > c.microseconds 316543.

You could also use:

```import time

start = time.clock()
do_something()
end = time.clock()
print "%.2gs" % (end-start)
```

Or you could use the python profilers.

Python speed testing - Time Difference, Python speed testing - Time Difference - milliseconds | Q&A ProDevsBlog. from datetime import datetime tstart = datetime.now() print t1 # code to speed test� Python speed testing - Time Difference - milliseconds; Converting string into datetime; subtract two times in python; Format timedelta to string

I know this is late, but I actually really like using:

```import time
start = time.time()

##### your timed code here ... #####

print "Process time: " + (time.time() - start)
```

`time.time()` gives you seconds since the epoch. Because this is a standardized time in seconds, you can simply subtract the start time from the end time to get the process time (in seconds). `time.clock()` is good for benchmarking, but I have found it kind of useless if you want to know how long your process took. For example, it's much more intuitive to say "my process takes 10 seconds" than it is to say "my process takes 10 processor clock units"

```>>> start = time.time(); sum([each**8.3 for each in range(1,100000)]) ; print (time.time() - start)
3.4001404476250935e+45
0.0637760162354
>>> start = time.clock(); sum([each**8.3 for each in range(1,100000)]) ; print (time.clock() - start)
3.4001404476250935e+45
0.05
```

In the first example above, you are shown a time of 0.05 for time.clock() vs 0.06377 for time.time()

```>>> start = time.clock(); time.sleep(1) ; print "process time: " + (time.clock() - start)
process time: 0.0
>>> start = time.time(); time.sleep(1) ; print "process time: " + (time.time() - start)
process time: 1.00111794472
```

In the second example, somehow the processor time shows "0" even though the process slept for a second. `time.time()` correctly shows a little more than 1 second.

Python speed testing - Time Difference - milliseconds, What is the proper way to compare 2 times in Python in order to speed test a section of code? I tried reading the API docs. I'm not sure I understand the timedelta� To measure time elapsed during program's execution, either use time.clock() or time.time() functions. The python docs state that this function should be used for benchmarking purposes.

from datetime import datetime from datetime import timedelta start_time = datetime.now() # returns the elapsed milliseconds since the start of the program def millis(): dt = datetime.now() - start_time ms = (dt.days * 24 * 60 * 60 + dt.seconds) * 1000 + dt.microseconds / 1000.0 return ms. share.

If you just want to measure the elapsed wall-clock time between two points, you could use time.time (): import time start = time.time() print("hello") end = time.time() print(end - start) This gives the execution time in seconds. Another option since 3.3 might be to use perf_counter or process_time, depending on your requirements.

Ardit Post author September 26, 2019 at 9:56 am. That’s another way to measure the execution time, but it’s less accurate. The way that works is you record the timestamp (in start_time variable) just before the test code starts to execute and you record the timestamp (in the end_time variable) just after the test code finishes executing.

• Anyone interested in getting total minutes can use `int(c.total_seconds() / 60)` in this case
• When using `start = time.clock()` it prints `DeprecationWarning: time.clock has been deprecated in Python 3.3 and will be removed from Python 3.8: use time.perf_counter or time.process_time instead`.
• You need the `import time` statement