Created
September 28, 2020 19:13
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| import matplotlib.pyplot as plt | |
| cos_analytical_value = np.sin(2) | |
| plt.plot([cos_analytical_value]*50) | |
| plt.plot(mcos_estimates, '.') | |
| plt.plot(cos_analytical_value + np.array(mcos_std)*3, 'r') | |
| plt.plot(cos_analytical_value - np.array(mcos_std)*3, 'r') | |
| plt.xlabel('Sample size') | |
| plt.ylabel('Monte Carlo estimate') | |
| plt.xticks(plt.xticks()[0],plt.xticks()[0].astype(int)*1000 + 1000) | |
| plt.show() |
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