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import matplotlib.pyplot as plt |
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import seaborn as sns |
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import numpy as np |
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def plot_scores(scores, outpath): |
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plt.figure(figsize=(12,3)) |
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plt.plot(scores, linewidth=1) |
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plt.title('Anomaly scores over time') |
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plt.xlabel('Window index') |
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plt.ylabel('Score') |
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plt.tight_layout() |
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plt.savefig(outpath) |
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plt.close() |
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def plot_heatmap(saliency, outpath): |
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plt.figure(figsize=(8,4)) |
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sns.heatmap(saliency.T, cmap='viridis') |
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plt.xlabel('Time step') |
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plt.ylabel('Channel') |
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plt.tight_layout() |
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plt.savefig(outpath) |
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plt.close() |
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