df_ipv6_updates = df_ipv6_updates.reset_index()
    df_ipv6_updates = df_ipv6_updates.drop(['index'], axis=1)

    df_ipv4_updates = df_ipv4_updates.reset_index()
    df_ipv4_updates = df_ipv4_updates.drop(['index'], axis=1)

    return df_ipv4_updates, df_ipv6_updates


if __name__ == '__main__':
    print("---------------")
    print("Stage 5: Split data for analysis")
    print("---------------")

    # VARIABLES (experiment)
    exp_name, collector = exp.load_arguments()

    experiments = getattr(exp, 'experiments')
    experiment = experiments[exp_name]

    from_date = experiment['initDay']
    to_date = experiment['endDay']
    result_directory = experiment['resultDirectory']
    file_ext = experiment['resultFormat']

    step_dir = '/5.split_data_for_analysis'
    exp.per_step_dir(exp_name, step_dir)

    step_dir = '/5.split_data_for_analysis/IPv4'
    exp.per_step_dir(exp_name, step_dir)
Ejemplo n.º 2
0
import pandas as pd
import experiment_manifest as exp
import file_manager as f

if __name__ == "__main__":
    print("---------------")
    print("Stage 7: Combine collector results")
    print("---------------")

    # VARIABLES (experiment)
    exp_name, coll = exp.load_arguments()
    experiments = getattr(exp, 'experiments')
    experiment = experiments[exp_name]

    from_date = experiment['initDay']
    to_date = experiment['endDay']
    result_directory = experiment['resultDirectory']
    file_ext = experiment['resultFormat']

    # Directories creation
    step_dir = '/7.combined_data'
    exp.per_step_dir(exp_name, step_dir)

    IP_versions = ['IPv4', 'IPv6']
    collectors = [
        'rrc00', 'rrc01', 'rrc04', 'rrc05', 'rrc07', 'rrc10', 'rrc11', 'rrc12',
        'rrc13'
    ]

    frames = []