Exemplo n.º 1
0
def plot_results(input_file, series_key, x_axis, y_axis, plot='loglog', dpi=72, title=None, format=None):
    """Plot performance data stored in an XML file

    if format is None then the figure is shown, otherwise it is 
    written to a file with the specified extension

    Example
    -------
    input_file = 'reduce.xml'
    series_key = 'InputType'
    x_axis = 'InputSize'
    y_axis = 'Throughput'
    format = 'pdf'
    """

    try:
        fid = open(input_file)
    except IOError:
        print "unable to open file '%s'" % input_file
        return

    TS = parse_testsuite_xml(fid)
    
    series_titles = set([test.variables[series_key] for (testname,test) in TS.tests.items()])
    series = dict( zip(series_titles, [list() for s_title in series_titles]) )
    
    for testname,test in TS.tests.items():
        if x_axis in test.variables and y_axis in test.results:
            series[test.variables[series_key]].append( (test.variables[x_axis], test.results[y_axis]) )
    

    if title is None:
        title = TS.name

    import pylab
    
    pylab.figure()
    pylab.title(title)
    pylab.xlabel(full_label(x_axis))
    pylab.ylabel(full_label(y_axis))

    plotter = getattr(pylab, plot) 
    for series_title,series_data in series.items():
        series_data.sort()
        x_values = [val[0] for val in series_data]
        y_values = [val[1] for val in series_data]
   
        plotter(x_values, y_values, label=series_title)

    if len(series) >= 2:
        pylab.legend(loc=0)
   
    if format is None:
        pylab.show()    
    else:
        import os
        fname = os.path.splitext(input_file)[0] + '.' + format
        pylab.savefig(fname, dpi=dpi)
Exemplo n.º 2
0
def plot_results(input_file, series_key, x_axis, y_axis, plot='loglog', dpi=72, title=None, format=None):
    """Plot performance data stored in an XML file

    if format is None then the figure is shown, otherwise it is 
    written to a file with the specified extension

    Example
    -------
    input_file = 'reduce.xml'
    series_key = 'InputType'
    x_axis = 'InputSize'
    y_axis = 'Throughput'
    format = 'pdf'
    """

    try:
        fid = open(input_file)
    except IOError:
        print "unable to open file '%s'" % input_file
        return

    TS = parse_testsuite_xml(fid)
    
    series_titles = set([test.variables[series_key] for (testname,test) in TS.tests.items()])
    series = dict( zip(series_titles, [list() for s_title in series_titles]) )
    
    for testname,test in TS.tests.items():
        if x_axis in test.variables and y_axis in test.results:
            series[test.variables[series_key]].append( (test.variables[x_axis], test.results[y_axis]) )
    

    if title is None:
        title = TS.name

    import pylab
    
    pylab.figure()
    pylab.title(title)
    pylab.xlabel(full_label(x_axis))
    pylab.ylabel(full_label(y_axis))

    plotter = getattr(pylab, plot) 
    for series_title,series_data in series.items():
        series_data.sort()
        x_values = [val[0] for val in series_data]
        y_values = [val[1] for val in series_data]
   
        plotter(x_values, y_values, label=series_title)

    if len(series) >= 2:
        pylab.legend(loc=0)
   
    if format is None:
        pylab.show()    
    else:
        import os
        fname = os.path.splitext(input_file)[0] + '.' + format
        pylab.savefig(fname, dpi=dpi)
Exemplo n.º 3
0
def print_results(input_file, series_key, x_axis, y_axis, title=None, format=None, **kwargs):
    """Plot performance data stored in an XML file

    if format is None then the figure is shown, otherwise it is 
    written to a file with the specified extension

    Example
    -------
    input_file = 'reduce.xml'
    series_key = 'InputType'
    x_axis = 'InputSize'
    y_axis = 'Throughput'
    format = 'pdf'
    """

    try:
        fid = open(input_file)
    except IOError:
        print "unable to open file '%s'" % input_file
        return

    TS = parse_testsuite_xml(fid)
    
    series_titles = set([test.variables[series_key] for (testname,test) in TS.tests.items()])
    series = dict( zip(series_titles, [list() for s_title in series_titles]) )
    
    for testname,test in TS.tests.items():
        if x_axis in test.variables and y_axis in test.results:
            series[test.variables[series_key]].append( (test.variables[x_axis], test.results[y_axis]) )
    
    
    print 'title,' + str(title)
    print 'x_axis_label,' + full_label(x_axis)
    print 'y_axis_label,' + full_label(y_axis)
    
    x_axis = set()
    for series_title,series_data in series.items():
        x_axis.update([t[0] for t in series_data])
    x_axis = sorted(x_axis)
        
    print ','.join( ['x_axis'] + [str(v) for v in x_axis])

    for series_title,series_data in series.items():
        series_data = dict(series_data)

        y_values = []
        for x_value in x_axis:
            if x_value in series_data:
                y_values.append(str(series_data[x_value]))
            else:
                y_values.append('')

        print ','.join( [series_title] + [str(v) for v in y_values])