30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
import pandas as pd
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df = pd.read_csv(r'./data/Ex2aggFlows_team13.csv')
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dataLength = len(df)
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mean_packet_count = df['packetTotalCount'].mean()
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mean_unique_source = df['distinct(sourceIPAddress)'].mean()
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mean_num_bytes = df['ipTotalLength'].mean()
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print("Mean `packetTotalCount`: {}".format(round(mean_packet_count, 3)))
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print("Mean `distinct(sourceIPAddress)`: {}".format(round(mean_unique_source, 3)))
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print("Mean `ipTotalLength`: {}".format(round(mean_num_bytes, 3)))
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median_packet_count = df['packetTotalCount'].median()
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median_unique_source = df['distinct(sourceIPAddress)'].median()
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median_num_bytes = df['ipTotalLength'].median()
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print("Median `packetTotalCount`: {}".format(round(median_packet_count, 3)))
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print("Median `distinct(sourceIPAddress)`: {}".format(round(median_unique_source, 3)))
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print("Median `ipTotalLength`: {}".format(round(median_num_bytes, 3)))
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std_packet_count = df['packetTotalCount'].std()
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std_unique_source = df['distinct(sourceIPAddress)'].std()
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std_num_bytes = df['ipTotalLength'].std()
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print("Std `packetTotalCount`: {}".format(round(std_packet_count, 3)))
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print("Std `distinct(sourceIPAddress)`: {}".format(round(std_unique_source, 3)))
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print("Std `ipTotalLength`: {}".format(round(std_num_bytes, 3)))
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