memprof 0.3.6

Stable

sudo pip install --upgrade memprof

or

sudo easy_install --upgrade memprof

or (Debian testing/unstable)

sudo apt-get install python-memprof

Development

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

Generating plots

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.

Adjusting the threshold

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.

mp_plot

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.