import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0, 10, 0.1)
y1 = 0.05 * x**2
y2 = -1 *y1
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()
ax1.plot(x, y1, 'g-')
ax2.plot(x, y2, 'b-')
ax1.set_xlabel('X data')
ax1.set_ylabel('Y1 data', color='g')
ax2.set_ylabel('Y2 data', color='b')
plt.show()
#We create a secondary y-axis for the definded column
df.plot(secondary_y='name_of_column')
plt.show()
fig,ax = plt.subplots()
ax.plot(y1)
ax2=ax.twinx()
ax2.plot(y2)
plt.show()