 
#Documentation at https://matplotlib.org/users/pyplot_tutorial.html
import numpy as np
import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.ylabel('some numbers')

plt.plot([1,2,3,4], [1,4,9,16], 'ro')
plt.axis([0, 6, 0, 20])

# evenly sampled time at 200ms intervals
t = np.arange(0., 5., 0.2)

# red dashes, blue squares and green triangles
plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
plt.show()
 
#Documentation at https://matplotlib.org/users/pyplot_tutorial.html
import numpy as np
import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.ylabel('some numbers')

plt.plot([1,2,3,4], [1,4,9,16], 'ro')
plt.axis([0, 6, 0, 20])

# evenly sampled time at 200ms intervals
t = np.arange(0., 5., 0.2)

# red dashes, blue squares and green triangles
plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
plt.show()
#Documentation at https://matplotlib.org/users/pyplot_tutorial.html # evenly sampled time at 200ms intervals # red dashes, blue squares and green triangles