44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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def plot(table, title='', log=False):
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plt.figure(figsize=(6.3, 6))
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plt.suptitle(title)
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plt.subplot(211)
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if log:
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plt.xscale('log')
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plt.title('EMD' + ' '*10, loc='right')
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plt.plot(table[0], table[1], color='#92182b')
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plt.tick_params(axis='y', labelcolor='#92182b')
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plt.ylabel('average', color='#92182b')
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plt.ticklabel_format(style='sci', axis='y',
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scilimits=(0, 0), useMathText=True)
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twin = plt.twinx()
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twin.plot(table[0], table[2], color='gray')
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twin.tick_params(axis='y', labelcolor='gray')
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twin.set_ylabel('standard deviation', color='gray')
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twin.ticklabel_format(style='sci', axis='y',
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scilimits=(0, 0), useMathText=True)
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plt.subplot(212)
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if log:
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plt.xscale('log')
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plt.title('skewness', loc='right')
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plt.xlabel('RL rounds')
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plt.plot(table[0], table[3], color='xkcd:gray')
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plt.tight_layout()
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table = np.loadtxt('ex-6/plots/emd-round.txt')
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plot(table[:27].T, title='noiseless', log=True)
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plot(table[27:47].T, title=r'noise at $\sigma=0.005$')
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plot(table[47:67].T, title=r'noise at $\sigma=0.01$')
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plot(table[67:].T, title=r'noise at $\sigma=0.05$')
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plt.show()
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