memprof is a memory profiler for Python.
It logs and plots the memory usage of all the variables during the execution of the decorated methods.
sudo pip install --upgrade memprof
or
sudo easy_install --upgrade memprof
or (Debian testing/unstable)
sudo apt-get install python-memprof
git clone git://github.com/jmdana/memprof.git cd memprof sudo python setup.py install
or
sudo pip install git+https://github.com/jmdana/memprof
Using memprof is as easy as adding a decorator to the methods that
you want to profile:
@memprof def foo():
And importing the module just by including the line below at the beginning of your Python file:
from memprof import memprof
Now you can run as usual and logfiles with the names of your methods
will be created (e.g. foo.log).
The logfiles are not very interesting so you might prefer to use the
-p/--plot flag:
python -m memprof --plot <python_file> python -m memprof -p <python_file>
Which, in addition to the logfile, will generate a plot (foo.png):
The grey bar indicates that the foo method wasn't running at that
point.
The flag may also be passed as an argument to the decorator:
@memprof(plot = True)
Please keep in mind that the former takes precedence over the latter.
You may also want to specify a threshold. The value will be the
minimum size for a variable to appear in the plot (but it will always
appear in the logfile!). The default value is 1048576 (1 MB) but you can
specify a different threshold (in bytes) with the
-t/--threshold flag:
python -m memprof --threshold 1024 <python_file> python -m memprof -t 1024 <python_file>
The threshold may also be passed as an argument to the decorator:
@memprof(threshold = 1024)
Please keep in mind that the former takes precedence over the latter.
If, after running memprof, you want to change the threshold and
generate a new plot (or you forgot to use the -p/--plot flag
with memprof), you don't have to re-run! Just call the command:
mp_plot [-h] [-t THRESHOLD] logfiles [logfiles ...]
and generate the plots again doing something like:
mp_plot -t 128 logfile1.log logfile2.log
or:
mp_plot -t 1024 *.log
etc.
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Copyright 2013-2019, Jose M. Dana