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Changes to inplace operations for large dataframes.

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langspielplatte
2023-01-11 09:44:57 +01:00
parent a72552d373
commit 53d89bad05
1 changed files with 5 additions and 5 deletions
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10
plot_transmission_timeline.py
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@@ -193,20 +193,20 @@ if __name__ == "__main__":
# Get the frequency, PDF and CDF for each value in the series # Get the frequency, PDF and CDF for each value in the series
# Frequency # Frequency
stats_df = transmission_df \ transmission_df \
.groupby("goodput")["goodput"] \ .groupby("goodput")["goodput"] \
.agg("count") \ .agg("count") \
.pipe(pd.DataFrame) \ .pipe(pd.DataFrame) \
.rename(columns={"goodput": 'frequency'}, inplace=True) .rename(columns={"goodput": 'frequency'}, inplace=True)
# PDF # PDF
stats_df['pdf'] = stats_df['frequency'] / sum(stats_df['frequency']) transmission_df['pdf'] = transmission_df['frequency'] / sum(transmission_df['frequency'])
# CDF # CDF
stats_df['cdf'] = stats_df['pdf'].cumsum() transmission_df['cdf'] = transmission_df['pdf'].cumsum()
stats_df = stats_df.reset_index() transmission_df.reset_index(inplace=True)
stats_df.plot(x="goodput", y=["cdf"], grid=True) transmission_df.plot(x="goodput", y=["cdf"], grid=True)
if args.save: if args.save:
plt.savefig("{}cdf_plot.pdf".format(args.save)) plt.savefig("{}cdf_plot.pdf".format(args.save))