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# Get the frequency, PDF and CDF for each value in the series |
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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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# Frequency |
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transmission_df.groupby("goodput")["goodput"].agg("count").pipe(pd.DataFrame) |
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transmission_df.rename(columns={"goodput": 'frequency'}, inplace=True) |
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transmission_df["gp_frequency"] = transmission_df["goodput"] |
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transmission_df.groupby("gp_frequency")["gp_frequency"].agg("count").pipe(pd.DataFrame) |
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# PDF |
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# PDF |
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transmission_df['pdf'] = transmission_df['frequency'] / sum(transmission_df['frequency']) |
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transmission_df["pdf"] = transmission_df["gp_frequency"] / sum(transmission_df["gp_frequency"]) |
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# CDF |
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# CDF |
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transmission_df['cdf'] = transmission_df['pdf'].cumsum() |
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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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transmission_df.reset_index(inplace=True) |
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transmission_df.plot(x="goodput", y=["cdf"], grid=True) |
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transmission_df.plot(x="goodput", y=["cdf"], grid=True) |