NAME

       Pyprof2calltree - visualize Python cProfile data in kcachegrind

DESCRIPTION

       Script  to  help  visualize profiling data collected with the cProfile Python module with the kcachegrind
       graphical calltree analyser.

       This is a rebranding of  the  venerable  http://www.gnome.org/~johan/lsprofcalltree.py  script  by  David
       Allouche  et  Al.  It aims at making it easier to distribute (e.g. through PyPI) and behave more like the
       scripts of the debian kcachegrind-converters package. The final goal is to make it part of  the  official
       upstream kdesdk package.

OPTIONS

       Upon installation you should have a pyprof2calltree script in your path:

          $ pyprof2calltree --help
          usage: pyprof2calltree [-h] [-o output_file_path] [-i input_file_path] [-k]
                                 [-r scriptfile [args ...]]

          optional arguments:
            -h, --help            show this help message and exit
            -o output_file_path, --outfile output_file_path
                                  Save calltree stats to <outfile>
            -i input_file_path, --infile input_file_path
                                  Read Python stats from <infile>
            -k, --kcachegrind     Run the kcachegrind tool on the converted data
            -r scriptfile [args ...], --run-script scriptfile [args ...]
                                  Name of the Python script to run to collect profiling
                                  data

PYTHON SHELL USAGE

       pyprof2calltree  is  also  best  used  from  an  interactive  Python shell such as the default shell. For
       instance let us profile XML parsing:

          >>> from xml.etree import ElementTree
          >>> from cProfile import Profile
          >>> xml_content = '<a>\n' + '\t<b/><c><d>text</d></c>\n' * 100 + '</a>'
          >>> profiler = Profile()
          >>> profiler.runctx(
          ...     "ElementTree.fromstring(xml_content)",
          ...     locals(), globals())

          >>> from pyprof2calltree import convert, visualize
          >>> visualize(profiler.getstats())                            # run kcachegrind
          >>> convert(profiler.getstats(), 'profiling_results.kgrind')  # save for later

       or with the ipython:

          In [1]: %doctest_mode
          Exception reporting mode: Plain
          Doctest mode is: ON

          >>> from xml.etree import ElementTree
          >>> xml_content = '<a>\n' + '\t<b/><c><d>text</d></c>\n' * 100 + '</a>'
          >>> %prun -D out.stats ElementTree.fromstring(xml_content)

          *** Profile stats marshalled to file 'out.stats'

          >>> from pyprof2calltree import convert, visualize
          >>> visualize('out.stats')
          >>> convert('out.stats', 'out.kgrind')

          >>> results = %prun -r ElementTree.fromstring(xml_content)
          >>> visualize(results)

                                                                                              PYPROF2CALLTREE(1)