32 lines
705 B
Python
32 lines
705 B
Python
|
#!/usr/bin/env python
|
|||
|
|
|||
|
import matplotlib.pyplot as plt
|
|||
|
import numpy as np
|
|||
|
import sys
|
|||
|
|
|||
|
|
|||
|
table = np.loadtxt(sys.stdin, unpack=True, skiprows=2, delimiter='|')
|
|||
|
calls, I_MC, σ_MC, I_MI, σ_MI, I_VE, σ_VE, chi = table
|
|||
|
exact = 1.7182818285
|
|||
|
|
|||
|
plt.figure()
|
|||
|
# plt.figure(figsize=(5, 3))
|
|||
|
# plt.rcParams['font.size'] = 8
|
|||
|
|
|||
|
plt.title('Integral uncertainty', loc='right')
|
|||
|
plt.ylabel('$\sigma_I$')
|
|||
|
plt.xlabel('calls')
|
|||
|
plt.xscale('log')
|
|||
|
plt.yscale('log')
|
|||
|
|
|||
|
plt.plot(calls, σ_MC, linestyle='', marker='o',
|
|||
|
color='#92182b', label='$\sigma_I$')
|
|||
|
x = np.logspace(1, 8, 5)
|
|||
|
a = 0.48734
|
|||
|
b = -0.49938
|
|||
|
plt.plot(x, a*(x**b), color='gray')
|
|||
|
|
|||
|
plt.tight_layout()
|
|||
|
# plt.savefig('notes/images/5-fit.pdf')
|
|||
|
plt.show()
|