CPU usage of python script











up vote
0
down vote

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1












Is it possible to check CPU usage of simple script ?



For example: How to get the CPU usage in % of printing 100 times "hello world!" ?



Currently I'm getting the execution time in the console, by:



time -p python script.py









share|improve this question
























  • so? what do you want that "time" don't let you?
    – Tamar
    Jun 19 '17 at 18:51










  • Is stackoverflow.com/questions/15176619/… what you are looking for?
    – Artyer
    Jun 19 '17 at 18:51










  • You can look at the top unix command.
    – coldspeed
    Jun 19 '17 at 19:02















up vote
0
down vote

favorite
1












Is it possible to check CPU usage of simple script ?



For example: How to get the CPU usage in % of printing 100 times "hello world!" ?



Currently I'm getting the execution time in the console, by:



time -p python script.py









share|improve this question
























  • so? what do you want that "time" don't let you?
    – Tamar
    Jun 19 '17 at 18:51










  • Is stackoverflow.com/questions/15176619/… what you are looking for?
    – Artyer
    Jun 19 '17 at 18:51










  • You can look at the top unix command.
    – coldspeed
    Jun 19 '17 at 19:02













up vote
0
down vote

favorite
1









up vote
0
down vote

favorite
1






1





Is it possible to check CPU usage of simple script ?



For example: How to get the CPU usage in % of printing 100 times "hello world!" ?



Currently I'm getting the execution time in the console, by:



time -p python script.py









share|improve this question















Is it possible to check CPU usage of simple script ?



For example: How to get the CPU usage in % of printing 100 times "hello world!" ?



Currently I'm getting the execution time in the console, by:



time -p python script.py






python linux console






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Jun 19 '17 at 20:14









Benny

4331515




4331515










asked Jun 19 '17 at 18:49









user7375796

155




155












  • so? what do you want that "time" don't let you?
    – Tamar
    Jun 19 '17 at 18:51










  • Is stackoverflow.com/questions/15176619/… what you are looking for?
    – Artyer
    Jun 19 '17 at 18:51










  • You can look at the top unix command.
    – coldspeed
    Jun 19 '17 at 19:02


















  • so? what do you want that "time" don't let you?
    – Tamar
    Jun 19 '17 at 18:51










  • Is stackoverflow.com/questions/15176619/… what you are looking for?
    – Artyer
    Jun 19 '17 at 18:51










  • You can look at the top unix command.
    – coldspeed
    Jun 19 '17 at 19:02
















so? what do you want that "time" don't let you?
– Tamar
Jun 19 '17 at 18:51




so? what do you want that "time" don't let you?
– Tamar
Jun 19 '17 at 18:51












Is stackoverflow.com/questions/15176619/… what you are looking for?
– Artyer
Jun 19 '17 at 18:51




Is stackoverflow.com/questions/15176619/… what you are looking for?
– Artyer
Jun 19 '17 at 18:51












You can look at the top unix command.
– coldspeed
Jun 19 '17 at 19:02




You can look at the top unix command.
– coldspeed
Jun 19 '17 at 19:02












3 Answers
3






active

oldest

votes

















up vote
0
down vote



accepted










You'll need the psutil module.



import psutil
print(psutil.cpu_percent())





share|improve this answer





















  • Thank you !!! :)
    – user7375796
    Jun 19 '17 at 19:05






  • 2




    psutil.cpu_percent is for the whole system, not an individual process. For just the current script, use current_process = psutil.Process(); print(current_process.cpu_percent()).
    – eryksun
    Jun 19 '17 at 19:47




















up vote
2
down vote













If you are on a unix machine, you could always open top in a new terminal and then observe the % usage while you run your python program. Alternatively, there are some 3rd party libraries you can use.



Here's one: Benchmark



Examples (taken from the py package index).



Program:



from benchmarker import Benchmarker

## specify number of loop
with Benchmarker(1000*1000, width=20) as bench:
s1, s2, s3, s4, s5 = "Haruhi", "Mikuru", "Yuki", "Itsuki", "Kyon"

@bench(None) ## empty loop
def _(bm):
for i in bm:
pass

@bench("join")
def _(bm):
for i in bm:
sos = ''.join((s1, s2, s3, s4, s5))

@bench("concat")
def _(bm):
for i in bm:
sos = s1 + s2 + s3 + s4 + s5

@bench("format")
def _(bm):
for i in bm:
sos = '%s%s%s%s%s' % (s1, s2, s3, s4, s5)


Results:



$ python example.py -h              # show help
$ python example.py -o result.json
## benchmarker: release 4.0.0 (for python)
## python version: 3.4.2
## python compiler: GCC 4.8.2
## python platform: Linux-3.13.0-36-generic-x86_64-with-debian-jessie-sid
## python executable: /opt/vs/python/3.4.2/bin/python
## cpu model: Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz # 2494.050 MHz
## parameters: loop=1000000, cycle=1, extra=0

## real (total = user + sys)
(Empty) 0.0236 0.0200 0.0200 0.0000
join 0.2779 0.2800 0.2800 0.0000
concat 0.3792 0.3800 0.3800 0.0000
format 0.4233 0.4300 0.4300 0.0000

## Ranking real
join 0.2779 (100.0) ********************
concat 0.3792 ( 73.3) ***************
format 0.4233 ( 65.6) *************

## Matrix real [01] [02] [03]
[01] join 0.2779 100.0 136.5 152.3
[02] concat 0.3792 73.3 100.0 111.6
[03] format 0.4233 65.6 89.6 100.0





share|improve this answer






























    up vote
    0
    down vote













    One thing you can do is use timeit and find the difference in the time of the execution and finish of the program. For example:



    import timeit
    start_time = timeit.default_timer()
    print("Hello World")
    print("Hello World")
    print("Hello World")
    end_time = timeit.default_timer()
    print (end_time - start_time)





    share|improve this answer





















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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes








      up vote
      0
      down vote



      accepted










      You'll need the psutil module.



      import psutil
      print(psutil.cpu_percent())





      share|improve this answer





















      • Thank you !!! :)
        – user7375796
        Jun 19 '17 at 19:05






      • 2




        psutil.cpu_percent is for the whole system, not an individual process. For just the current script, use current_process = psutil.Process(); print(current_process.cpu_percent()).
        – eryksun
        Jun 19 '17 at 19:47

















      up vote
      0
      down vote



      accepted










      You'll need the psutil module.



      import psutil
      print(psutil.cpu_percent())





      share|improve this answer





















      • Thank you !!! :)
        – user7375796
        Jun 19 '17 at 19:05






      • 2




        psutil.cpu_percent is for the whole system, not an individual process. For just the current script, use current_process = psutil.Process(); print(current_process.cpu_percent()).
        – eryksun
        Jun 19 '17 at 19:47















      up vote
      0
      down vote



      accepted







      up vote
      0
      down vote



      accepted






      You'll need the psutil module.



      import psutil
      print(psutil.cpu_percent())





      share|improve this answer












      You'll need the psutil module.



      import psutil
      print(psutil.cpu_percent())






      share|improve this answer












      share|improve this answer



      share|improve this answer










      answered Jun 19 '17 at 18:58









      Krohnus Melavea

      977




      977












      • Thank you !!! :)
        – user7375796
        Jun 19 '17 at 19:05






      • 2




        psutil.cpu_percent is for the whole system, not an individual process. For just the current script, use current_process = psutil.Process(); print(current_process.cpu_percent()).
        – eryksun
        Jun 19 '17 at 19:47




















      • Thank you !!! :)
        – user7375796
        Jun 19 '17 at 19:05






      • 2




        psutil.cpu_percent is for the whole system, not an individual process. For just the current script, use current_process = psutil.Process(); print(current_process.cpu_percent()).
        – eryksun
        Jun 19 '17 at 19:47


















      Thank you !!! :)
      – user7375796
      Jun 19 '17 at 19:05




      Thank you !!! :)
      – user7375796
      Jun 19 '17 at 19:05




      2




      2




      psutil.cpu_percent is for the whole system, not an individual process. For just the current script, use current_process = psutil.Process(); print(current_process.cpu_percent()).
      – eryksun
      Jun 19 '17 at 19:47






      psutil.cpu_percent is for the whole system, not an individual process. For just the current script, use current_process = psutil.Process(); print(current_process.cpu_percent()).
      – eryksun
      Jun 19 '17 at 19:47














      up vote
      2
      down vote













      If you are on a unix machine, you could always open top in a new terminal and then observe the % usage while you run your python program. Alternatively, there are some 3rd party libraries you can use.



      Here's one: Benchmark



      Examples (taken from the py package index).



      Program:



      from benchmarker import Benchmarker

      ## specify number of loop
      with Benchmarker(1000*1000, width=20) as bench:
      s1, s2, s3, s4, s5 = "Haruhi", "Mikuru", "Yuki", "Itsuki", "Kyon"

      @bench(None) ## empty loop
      def _(bm):
      for i in bm:
      pass

      @bench("join")
      def _(bm):
      for i in bm:
      sos = ''.join((s1, s2, s3, s4, s5))

      @bench("concat")
      def _(bm):
      for i in bm:
      sos = s1 + s2 + s3 + s4 + s5

      @bench("format")
      def _(bm):
      for i in bm:
      sos = '%s%s%s%s%s' % (s1, s2, s3, s4, s5)


      Results:



      $ python example.py -h              # show help
      $ python example.py -o result.json
      ## benchmarker: release 4.0.0 (for python)
      ## python version: 3.4.2
      ## python compiler: GCC 4.8.2
      ## python platform: Linux-3.13.0-36-generic-x86_64-with-debian-jessie-sid
      ## python executable: /opt/vs/python/3.4.2/bin/python
      ## cpu model: Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz # 2494.050 MHz
      ## parameters: loop=1000000, cycle=1, extra=0

      ## real (total = user + sys)
      (Empty) 0.0236 0.0200 0.0200 0.0000
      join 0.2779 0.2800 0.2800 0.0000
      concat 0.3792 0.3800 0.3800 0.0000
      format 0.4233 0.4300 0.4300 0.0000

      ## Ranking real
      join 0.2779 (100.0) ********************
      concat 0.3792 ( 73.3) ***************
      format 0.4233 ( 65.6) *************

      ## Matrix real [01] [02] [03]
      [01] join 0.2779 100.0 136.5 152.3
      [02] concat 0.3792 73.3 100.0 111.6
      [03] format 0.4233 65.6 89.6 100.0





      share|improve this answer



























        up vote
        2
        down vote













        If you are on a unix machine, you could always open top in a new terminal and then observe the % usage while you run your python program. Alternatively, there are some 3rd party libraries you can use.



        Here's one: Benchmark



        Examples (taken from the py package index).



        Program:



        from benchmarker import Benchmarker

        ## specify number of loop
        with Benchmarker(1000*1000, width=20) as bench:
        s1, s2, s3, s4, s5 = "Haruhi", "Mikuru", "Yuki", "Itsuki", "Kyon"

        @bench(None) ## empty loop
        def _(bm):
        for i in bm:
        pass

        @bench("join")
        def _(bm):
        for i in bm:
        sos = ''.join((s1, s2, s3, s4, s5))

        @bench("concat")
        def _(bm):
        for i in bm:
        sos = s1 + s2 + s3 + s4 + s5

        @bench("format")
        def _(bm):
        for i in bm:
        sos = '%s%s%s%s%s' % (s1, s2, s3, s4, s5)


        Results:



        $ python example.py -h              # show help
        $ python example.py -o result.json
        ## benchmarker: release 4.0.0 (for python)
        ## python version: 3.4.2
        ## python compiler: GCC 4.8.2
        ## python platform: Linux-3.13.0-36-generic-x86_64-with-debian-jessie-sid
        ## python executable: /opt/vs/python/3.4.2/bin/python
        ## cpu model: Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz # 2494.050 MHz
        ## parameters: loop=1000000, cycle=1, extra=0

        ## real (total = user + sys)
        (Empty) 0.0236 0.0200 0.0200 0.0000
        join 0.2779 0.2800 0.2800 0.0000
        concat 0.3792 0.3800 0.3800 0.0000
        format 0.4233 0.4300 0.4300 0.0000

        ## Ranking real
        join 0.2779 (100.0) ********************
        concat 0.3792 ( 73.3) ***************
        format 0.4233 ( 65.6) *************

        ## Matrix real [01] [02] [03]
        [01] join 0.2779 100.0 136.5 152.3
        [02] concat 0.3792 73.3 100.0 111.6
        [03] format 0.4233 65.6 89.6 100.0





        share|improve this answer

























          up vote
          2
          down vote










          up vote
          2
          down vote









          If you are on a unix machine, you could always open top in a new terminal and then observe the % usage while you run your python program. Alternatively, there are some 3rd party libraries you can use.



          Here's one: Benchmark



          Examples (taken from the py package index).



          Program:



          from benchmarker import Benchmarker

          ## specify number of loop
          with Benchmarker(1000*1000, width=20) as bench:
          s1, s2, s3, s4, s5 = "Haruhi", "Mikuru", "Yuki", "Itsuki", "Kyon"

          @bench(None) ## empty loop
          def _(bm):
          for i in bm:
          pass

          @bench("join")
          def _(bm):
          for i in bm:
          sos = ''.join((s1, s2, s3, s4, s5))

          @bench("concat")
          def _(bm):
          for i in bm:
          sos = s1 + s2 + s3 + s4 + s5

          @bench("format")
          def _(bm):
          for i in bm:
          sos = '%s%s%s%s%s' % (s1, s2, s3, s4, s5)


          Results:



          $ python example.py -h              # show help
          $ python example.py -o result.json
          ## benchmarker: release 4.0.0 (for python)
          ## python version: 3.4.2
          ## python compiler: GCC 4.8.2
          ## python platform: Linux-3.13.0-36-generic-x86_64-with-debian-jessie-sid
          ## python executable: /opt/vs/python/3.4.2/bin/python
          ## cpu model: Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz # 2494.050 MHz
          ## parameters: loop=1000000, cycle=1, extra=0

          ## real (total = user + sys)
          (Empty) 0.0236 0.0200 0.0200 0.0000
          join 0.2779 0.2800 0.2800 0.0000
          concat 0.3792 0.3800 0.3800 0.0000
          format 0.4233 0.4300 0.4300 0.0000

          ## Ranking real
          join 0.2779 (100.0) ********************
          concat 0.3792 ( 73.3) ***************
          format 0.4233 ( 65.6) *************

          ## Matrix real [01] [02] [03]
          [01] join 0.2779 100.0 136.5 152.3
          [02] concat 0.3792 73.3 100.0 111.6
          [03] format 0.4233 65.6 89.6 100.0





          share|improve this answer














          If you are on a unix machine, you could always open top in a new terminal and then observe the % usage while you run your python program. Alternatively, there are some 3rd party libraries you can use.



          Here's one: Benchmark



          Examples (taken from the py package index).



          Program:



          from benchmarker import Benchmarker

          ## specify number of loop
          with Benchmarker(1000*1000, width=20) as bench:
          s1, s2, s3, s4, s5 = "Haruhi", "Mikuru", "Yuki", "Itsuki", "Kyon"

          @bench(None) ## empty loop
          def _(bm):
          for i in bm:
          pass

          @bench("join")
          def _(bm):
          for i in bm:
          sos = ''.join((s1, s2, s3, s4, s5))

          @bench("concat")
          def _(bm):
          for i in bm:
          sos = s1 + s2 + s3 + s4 + s5

          @bench("format")
          def _(bm):
          for i in bm:
          sos = '%s%s%s%s%s' % (s1, s2, s3, s4, s5)


          Results:



          $ python example.py -h              # show help
          $ python example.py -o result.json
          ## benchmarker: release 4.0.0 (for python)
          ## python version: 3.4.2
          ## python compiler: GCC 4.8.2
          ## python platform: Linux-3.13.0-36-generic-x86_64-with-debian-jessie-sid
          ## python executable: /opt/vs/python/3.4.2/bin/python
          ## cpu model: Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz # 2494.050 MHz
          ## parameters: loop=1000000, cycle=1, extra=0

          ## real (total = user + sys)
          (Empty) 0.0236 0.0200 0.0200 0.0000
          join 0.2779 0.2800 0.2800 0.0000
          concat 0.3792 0.3800 0.3800 0.0000
          format 0.4233 0.4300 0.4300 0.0000

          ## Ranking real
          join 0.2779 (100.0) ********************
          concat 0.3792 ( 73.3) ***************
          format 0.4233 ( 65.6) *************

          ## Matrix real [01] [02] [03]
          [01] join 0.2779 100.0 136.5 152.3
          [02] concat 0.3792 73.3 100.0 111.6
          [03] format 0.4233 65.6 89.6 100.0






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 9 at 22:01









          Manuco Bianco

          1116




          1116










          answered Jun 19 '17 at 19:07









          coldspeed

          111k17101170




          111k17101170






















              up vote
              0
              down vote













              One thing you can do is use timeit and find the difference in the time of the execution and finish of the program. For example:



              import timeit
              start_time = timeit.default_timer()
              print("Hello World")
              print("Hello World")
              print("Hello World")
              end_time = timeit.default_timer()
              print (end_time - start_time)





              share|improve this answer

























                up vote
                0
                down vote













                One thing you can do is use timeit and find the difference in the time of the execution and finish of the program. For example:



                import timeit
                start_time = timeit.default_timer()
                print("Hello World")
                print("Hello World")
                print("Hello World")
                end_time = timeit.default_timer()
                print (end_time - start_time)





                share|improve this answer























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  One thing you can do is use timeit and find the difference in the time of the execution and finish of the program. For example:



                  import timeit
                  start_time = timeit.default_timer()
                  print("Hello World")
                  print("Hello World")
                  print("Hello World")
                  end_time = timeit.default_timer()
                  print (end_time - start_time)





                  share|improve this answer












                  One thing you can do is use timeit and find the difference in the time of the execution and finish of the program. For example:



                  import timeit
                  start_time = timeit.default_timer()
                  print("Hello World")
                  print("Hello World")
                  print("Hello World")
                  end_time = timeit.default_timer()
                  print (end_time - start_time)






                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered Jun 19 '17 at 19:11









                  dsomel21

                  1381112




                  1381112






























                       

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                      Why https connections are so slow when debugging (stepping over) in Java?