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import numpy as np
import matplotlib.pyplot as plt
# get data
xi, yi = np.genfromtxt('ohm.txt').T
# prepare figure
plt.figure()
ax = plt.gca()
# raw
ax.plot(xi, yi)
ax.grid()
ax.set_xlim(0, 500)
ax.set_ylim(0, 5 * 1.1)
ax.set_xlabel('set point')
ax.set_ylabel('measured', color='C0')
ax.set_xscale('symlog')
# diff
ax = ax.twinx()
error = yi - (xi*0.01)
error /= xi
error *= 100 # to percent
error = np.abs(error) # absolute value
print(error)
ax.plot(xi, error, c="C1")
ax.set_ylabel('percent error', color='C1')
ax.grid()
ax.set_ylim(0, 0.3 * 1.1)
ax.set_yticks(np.linspace(0, 0.3, 6))
plt.savefig('ohm_symlog.png')
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