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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()
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