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import os |
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import matplotlib.pyplot as plt |
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import dsbuild |
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stats_path: list[str] = ['../stats/full/test/', '../stats/full/train'] |
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def __plot_mean_word_counts(path: list[str], show: bool = False, save: bool = False): |
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for p in path: |
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p: str = os.path.normpath(p) |
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split_name: str = p.split(os.sep)[-1] |
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config_name: str = p.split(os.sep)[-2] |
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stats: dict = dsbuild.load_stats(p) |
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conversations: list[float] = [conversation['wordsMean'] for _, conversation in stats['conversations'].items()] |
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dsbuild.build_mean_word_plot(conversations, f'Mean Words ({config_name}-{split_name})', |
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text=f'{len(conversations)} total') |
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if save: |
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plt.savefig(f'../assets/{config_name}-{split_name}.png') |
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if show: |
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plt.show() |
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def main(): |
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__plot_mean_word_counts(stats_path, show=True, save=True) |
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if __name__ == '__main__': |
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main() |
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