import numpy as np
import matplotlib.pyplot as plt

freq = 800
freq2 = 820
dt = 0.00001

x = np.arange(0.0,1.0,dt)
eod = np.sin(x * 2 *np.pi *freq) + np.sin(x * 2* np.pi *freq * 2)* 0.5
eod2 = np.sin(x * 2 *np.pi *freq2) + np.sin(x * 2* np.pi *freq2 * 2)* 0.5

fig = plt.figure(figsize = (5., 7.5))

ax = fig.add_subplot(311)
ax.plot(x, eod, color = 'darkgreen', linewidth = 1.0)
ax.set_xlabel('time[s]')
ax.set_ylabel('voltage [mV]')

ax = fig.add_subplot(312)
ax.plot(x, eod2, color = 'crimson', linewidth = 1.0)
ax.set_xlabel('time[s]')
ax.set_ylabel('voltage [mV]')

ax = fig.add_subplot(313)
ax.plot(x, eod+ eod2 *0.05, color = 'lightblue', linewidth = 1.0)
ax.set_xlabel('time[s]')
ax.set_ylabel('voltage [mV]')

plt.tight_layout()
plt.show()
plt.savefig('eodsTest.pdf')