gistfile1.py

import matplotlib.pyplot as plt

def getFancyFig():
    fig_width_pt = 240.0  # Get this from LaTeX using \showthe\columnwidth
    inches_per_pt = 1.0/72.27               # Convert pt to inch
    golden_mean = (sqrt(5)-1.0)/2.0         # Aesthetic ratio
    fig_width = fig_width_pt*inches_per_pt  # width in inches
    fig_height = fig_width*golden_mean      # height in inches
    fig_size =  [fig_width,fig_height]
    params = {'backend': 'pdf',
              'axes.labelsize': 8,#10,
              'text.fontsize': 8,#10,
              'legend.fontsize': 8,#10,
              'xtick.labelsize': 8,
              'ytick.labelsize': 8,
              'font.family':'serif',
              'font.serif':'Times',
              'text.usetex': True,
              'figure.figsize': fig_size}
    plt.rcParams.update(params)
    fig = plt.figure(figsize=fig_size)
    #plt.axes([0.125,0.2,0.95-0.125,0.95-0.2])
    return fig

def setFancyLegend(leg):
    # the matplotlib.patches.Rectangle instance surrounding the legend
    frame  = leg.get_frame()  
    frame.set_facecolor('0.95')    # set the frame face color to light gray
    frame.set_edgecolor('0.40')
    frame.set_linewidth(0.4)
    # matplotlib.lines.Line2D instances
    for l in leg.get_lines():
        l.set_linewidth(1.5)  # the legend line width

def plot2(d1,d2,labels,legends,fancy=False,outfilename=''):
    if fancy:
        fig = getFancyFig()
        lw = 0.3
    else:
        fig = plt.figure()
        lw = 1
    ax = fig.add_subplot(111)
    l1 = ax.plot(d1)
    plt.setp(l1, color='k', linewidth=lw,aa=True)
    ax.set_ylabel(labels[0])
    ax2 = ax.twinx()
    ax2.set_ylabel(labels[1])
    l2 = ax2.plot(d2)
    plt.setp(l2, color='#3E9435', linewidth=lw,aa=True)
    leg = plt.legend([l1,l2],legends,'upper left', shadow=False)
    if fancy and outfilename:
        setFancyLegend(leg)
        plt.savefig(outfilename,bbox_inches='tight')
    else:
        plt.show()

def plot3(d1,d2,d3,labels,legends,fancy,outfilename):
    if fancy:
        fig = getFancyFig()
        lw = 0.3
    else:
        fig = plt.figure()
        lw = 1
    ax = fig.add_subplot(111)
    l1 = ax.plot(d1)
    plt.setp(l1, color='k', linewidth=lw,aa=True)
    ax.set_ylabel(labels[0])
    ax2 = ax.twinx()
    ax2.set_ylabel(labels[1])
    l2 = ax2.plot(d2) 
    plt.setp(l2, color='#3E9435', linewidth=lw,aa=True)
    l3 = ax2.plot(d3)
    plt.setp(l3, color='#B13F45', linewidth=lw,aa=True) 
    leg = plt.legend([l1,l2,l3],legends,'upper left', shadow=False)
    if fancy and outfilename:
        setFancyLegend(leg)
        plt.savefig(outfilename,bbox_inches='tight')
    else:
        plt.show()



d1,d2,d3 = ...
labels = ('Execution time','Indirect branch misses executed')
legends = ('Execution time','L1-I misses','Indirect branch misses')
plot3(d1,d2,d3,labels,legends,fancy,'output.pdf')