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plot.py
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plot.py
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import numpy as np
import matplotlib.pyplot as plt
def displayScores():
for i in [25,50,75,100,125]:
loss = np.load(f"results/episode_{i}score.npy")
epochs = np.linspace(0, len(loss), num=len(loss))
plt.figure()
plt.title('Scores Over Time')
plt.xlabel("Epochs")
plt.ylabel('Score')
plt.plot(epochs, loss)
# plt.show()
plt.savefig(f"result_figs/episode_{i}score.png")
cumsum = np.cumsum(loss)
avg = np.divide(cumsum, epochs+1)
plt.figure()
plt.title('Average Scores Over Time')
plt.xlabel("Epochs")
plt.ylabel('Average Score')
plt.plot(epochs, avg)
# plt.show()
plt.savefig(f"result_figs/episode_{i}average_score.png")
displayScores()