import numpy as np
import matplotlib.pyplot as mp
x = np.linspace(0.1, 5, 100)
y = np.log(x)
ax = mp.gca()
ax.spines['bottom'].set_position(('data', 0))
mp.semilogy(y)
mp.show()

03a341e7a59dde468a81051e58758b6cfc820860
<mask token>

<mask token>
ax.spines['bottom'].set_position(('data', 0))
mp.semilogy(y)
mp.show()

<mask token>
x = np.linspace(0.1, 5, 100)
y = np.log(x)
ax = mp.gca()
ax.spines['bottom'].set_position(('data', 0))
mp.semilogy(y)
mp.show()

import numpy as np
import matplotlib.pyplot as mp
x = np.linspace(0.1, 5, 100)
y = np.log(x)
ax = mp.gca()
ax.spines['bottom'].set_position(('data', 0))
mp.semilogy(y)
mp.show()
