Before we start, if you don`t know what is profiling read this Wikipedia article! In my opinion profiling should be a part of every development/build process! Whether the responsibility lies with QA or development. Python profiler are supported only in PyCharm Professional Edition. This article show you the possibilities for the community edition.
Preparation
- PyCharm installed
- Virtualenv or similar installed (optional)
- PyCharm BashSupport Plugin installed
The easiest Profiler
With Unix/Linux time command you have allready a simple profiler! Time writes a message to standard output. Here you will find some information on Stackoverflow.
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#!/usr/bin/env python # -*- coding: utf-8 -*-
def hello_world():
for i in range(1, 5): print '%d Hello world from python...' % i
if __name__ == '__main__': hello_world() |
With BashSupport Plugin we can setup the “Run/Debug Configuration” like:
Better informations
But now we need better information. For this we use cProfile, cprofilev and snakeviz.
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# cProfile is part of standard python library
# install snakeviz $ pip install snakeviz
# install cprofildev $ pip install cprofilev |
“Run/Debug Configuration” example
Now will store the results into a file
With snakeviz you can open the profile in browser:
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$ snakeviz output.prof |
The other option is to use cprofilev:
Even more information
If that was not enough,… we install some more libraries.
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# install line_profiler $ pip install line_profiler
# install memory_profiler and psutil $ pip install memory_profiler $ pip install psutil |
Now we need to change the example code. We add the decorator…
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#!/usr/bin/env python # -*- coding: utf-8 -*-
@profile def hello_world():
for i in range(1, 5): print '%d Hello world from python...' % i
if __name__ == '__main__': hello_world() |
the line_profiler configuration
the memory_profiler
All configurations could now startet via the “Run” button. There are even more Profiler that you can use with similar PyCharm.