aW1wb3J0IG1hdHBsb3RsaWIucHlwbG90IGFzIHBsdCAKbmFtZT1bJ2FtaXQnLCdtb2hhbicsJ3N1ZGhhJ10KbWF0aHM9WzEwMCw5NSw4NV0Kc2NpZW5jZT1bMTAwLjAsMTAwLjAsMTAwLjBdCnNzdD1bNjAuMCw1Ny40OCw1My41OF0KcGx0LnBsb3QobmFtZSxtYXRocykKcGx0LnBsb3QobmFtZSxzY2llbmNlKQpwbHQucGxvdChuYW1lLHNzdCkKcGx0LmxlZ2VuZChuYW1lKQpwbHQudGl0bGUoJ3Jlc3VsdCBhbmFseXNpcycpCnBsdC54bGFiZWwoJ25hbWUnKQpwbHQueWxhYmVsKCdzY29yZScpCg==
import matplotlib.pyplot as plt
name=['amit','mohan','sudha']
maths=[100,95,85]
science=[100.0,100.0,100.0]
sst=[60.0,57.48,53.58]
plt.plot(name,maths)
plt.plot(name,science)
plt.plot(name,sst)
plt.legend(name)
plt.title('result analysis')
plt.xlabel('name')
plt.ylabel('score')