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@@ -193,20 +193,20 @@ if __name__ == "__main__": |
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# Get the frequency, PDF and CDF for each value in the series |
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# Frequency |
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stats_df = transmission_df \ |
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transmission_df \ |
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.groupby("goodput")["goodput"] \ |
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.agg("count") \ |
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.pipe(pd.DataFrame) \ |
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.rename(columns={"goodput": 'frequency'}, inplace=True) |
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# PDF |
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stats_df['pdf'] = stats_df['frequency'] / sum(stats_df['frequency']) |
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transmission_df['pdf'] = transmission_df['frequency'] / sum(transmission_df['frequency']) |
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# CDF |
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stats_df['cdf'] = stats_df['pdf'].cumsum() |
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stats_df = stats_df.reset_index() |
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transmission_df['cdf'] = transmission_df['pdf'].cumsum() |
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transmission_df.reset_index(inplace=True) |
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stats_df.plot(x="goodput", y=["cdf"], grid=True) |
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transmission_df.plot(x="goodput", y=["cdf"], grid=True) |
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if args.save: |
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plt.savefig("{}cdf_plot.pdf".format(args.save)) |