Python speed testing - Time Difference - milliseconds

Question

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

User · Answer

Here is a custom function that mimic s Matlab s Octave s tic toc functions    Example of use    time var   time me      get a variable with the current timestamp      run operation      time me time var     print the time difference  e g   5 seconds 821 12314 ms     Function      def time me  arg       if len arg     0           elapsedTime   time time   - arg 0            print elapsedTime           hours   math floor elapsedTime    60 60           elapsedTime   elapsedTime - hours    60 60           minutes   math floor elapsedTime   60          elapsedTime   elapsedTime - minutes    60           seconds   math floor elapsedTime           elapsedTime   elapsedTime - seconds          ms   elapsedTime   1000          if hours    0               print    d hours  d minutes  d seconds     hours  minutes  seconds            elif minutes    0               print    d minutes  d seconds     minutes  seconds           else               print    d seconds  f ms     seconds  ms       else           print   does not exist  here you go             return time time

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start   datetime now      code for which response time need to be measured   end   datetime now   dif   end - start dif micro   dif microseconds   time in microseconds dif millis   dif microseconds   1000   time in millisseconds

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time time     datetime is good for quick use  but is not always 100  precise   For that reason  I like to use one of the std lib profilers  especially hotshot  to find out what s what

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You might want to use the timeit module instead

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You may want to look into the profile modules  You ll get a better read out of where your slowdowns are  and much of your work will be full-on automated

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You could simply print the difference   print tend - tstart

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Arrow  Better dates  amp  times for Python  import arrow start time   arrow utcnow   end time   arrow utcnow    end time - start time  total seconds      senconds  end time - start time  total seconds     1000    milliseconds

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datetime timedelta is just the difference between two datetimes     so it s like a period of time  in days   seconds   microseconds   gt  gt  gt  import datetime  gt  gt  gt  a   datetime datetime now    gt  gt  gt  b   datetime datetime now    gt  gt  gt  c   b - a   gt  gt  gt  c datetime timedelta 0  4  316543   gt  gt  gt  c days 0  gt  gt  gt  c seconds 4  gt  gt  gt  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    gt  gt  gt  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

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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    gt  gt  gt  start   time time    sum  each  8 3 for each in range 1 100000      print  time time   - start  3 4001404476250935e 45 0 0637760162354  gt  gt  gt  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     gt  gt  gt  start   time clock    time sleep 1    print  process time       time clock   - start  process time  0 0  gt  gt  gt  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

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I am not a Python programmer  but I do know how to use Google and here s what I found  you use the  -  operator  To complete your code   from datetime import datetime  tstart   datetime now      code to speed test  tend   datetime now   print tend - tstart   Additionally  it looks like you can use the strftime   function to format the timespan calculation in order to render the time however makes you happy

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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

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You could use timeit like this to test a script named module py    python -mtimeit -s  import module

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The following code should display the time detla     from datetime import datetime  tstart   datetime now      code to speed test  tend   datetime now   print tend - tstart

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Since Python 2 7 there s the timedelta total seconds   method  So  to get the elapsed milliseconds    gt  gt  gt  import datetime  gt  gt  gt  a   datetime datetime now    gt  gt  gt  b   datetime datetime now    gt  gt  gt  delta   b - a  gt  gt  gt  print delta 0 00 05 077263  gt  gt  gt  int delta total seconds     1000    milliseconds 5077

[python] Python speed testing - Time Difference - milliseconds

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