Metadata-Version: 2.1
Name: memprof
Version: 0.3.6
Summary: A memory profiler for Python. As easy as adding a decorator.
Home-page: http://jmdana.github.io/memprof/
Author: Jose M. Dana
License: GNU General Public License v3 (GPLv3)
Keywords: memory usage profiler decorator variables charts plots graphical
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Utilities
Classifier: Topic :: Software Development
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Requires: argparse
Requires: matplotlib
Requires: cython
Provides: memprof
License-File: LICENSE

memprof
=======

``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.

Installation
------------

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

Usage
-----

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``).

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``):

.. figure:: examples/foo.png
   :alt: Example plot

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.

Contact
-------

Mailing list
~~~~~~~~~~~~

-  Subscribe by sending a message to memprof+subscribe@googlegroups.com
-  Once subscribed, you can send emails to memprof@googlegroups.com
-  List archives at http://groups.google.com/group/memprof

--------------

Copyright 2013-2019, Jose M. Dana
