import numpy as np
import matplotlib.pyplot as plt

def plot_indices(a,b,c):
    N=3
    ind= np.arange(N)
    y_axis = (a,b,c )
    width=0.35
    f=plt.figure()
    ax=f.gca()
    ax.set_autoscale_on(True)
    my_bars=ax.bar(ind,y_axis,width, color='b')
    ax.set_ylabel('Index Score*')
    ax.set_xlabel('Suite')
    ax.set_title(' QTIP benchmark scores')
    ax.axis('on')
    my_bars=ax.bar(ind,y_axis,width)
    ax.set_xticks(ind+width/2)
    ax.set_xticklabels(['Compute','Storage','Network'])
    ax.axis([0,3,0,1.25])
    f.text(0.7,0.01,'* With Comparison to Refernece POD', fontsize=9) 
    
    for rect in my_bars:
        height = rect.get_height()
        ax.text(rect.get_x() + rect.get_width()/2., 1.05*height, height , ha='center', va='bottom')

    f.savefig('qtip_graph.jpeg')

         
def main():
    plot_indices(0.83,0.7,1.0)

if __name__ == "__main__":
    main()