mirror of https://github.com/vacp2p/10ksim.git
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
import pandas as pd
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import seaborn as sns
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import matplotlib.pyplot as plt
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sns.set_theme()
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r_data_w = ["csv/Rx-50.csv", "csv/Rx-100.csv", "csv/Rx-150.csv", "csv/Rx-300.csv", "csv/Rx-600.csv", "csv/Rx-1000.csv"]
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r_data_d = ["../gossipsubdata/csv/Rx-50.csv", "../gossipsubdata/csv/Rx-100.csv", "../gossipsubdata/csv/Rx-150.csv",
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"../gossipsubdata/csv/Rx-300.csv", "../gossipsubdata/csv/Rx-600.csv", "../gossipsubdata/csv/Rx-1000.csv"]
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t_data = ["csv/Tx-50.csv", "csv/Tx-100.csv", "csv/Tx-150.csv", "csv/Tx-300.csv", "csv/Tx-600.csv", "csv/Tx-1000.csv"]
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final_df = pd.DataFrame()
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for data in r_data_w:
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column_name = data.split("-")[1].split(".")[0]
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df = pd.read_csv(data, parse_dates=['Time'], index_col='Time')
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df_avg = df.mean()
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df_avg_mean = df_avg.median()
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vertical_offset = df_avg.median() * 0.05 # offset from median for display
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final_df = pd.concat([final_df, df_avg.rename(column_name)], axis=1)
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box_plot = sns.boxplot(data=final_df).set_title('nWaku Rx')
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# # Plot the median value number in the boxplot
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# plt.text(0, df_avg_mean + vertical_offset, df_avg_mean, horizontalalignment='center',
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# size='medium', weight='semibold')
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# Set Left label
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plt.ylabel('Bytes/s')
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plt.xlabel('Nº nodes')
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plt.tight_layout()
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plt.show()
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box_plot.figure.savefig("Rx-nwaku.png")
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