38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
# 06_infos-items.py
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#
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# content: (1) Load data and create event log
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# (2) Infos for items
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#
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# input: ../results/eventlogs_pre-corona_cleaned.csv
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# output: ../results/pn_infos_items.csv
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#
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# last mod: 2024-04-17
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import pm4py
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import pandas as pd
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import numpy as np
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from python_helpers import eval_pm, pn_infos
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#--------------- (1) Load data and create event logs ---------------
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dat = pd.read_csv("../results/eventlogs_pre-corona_cleaned", sep = ";")
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log_path = pm4py.format_dataframe(dat, case_id = "path", activity_key = "event",
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timestamp_key = "date.start")
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#--------------- (2) Infos for items ---------------
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eval = pd.DataFrame(columns = ["fitness", "precision", "generalizability",
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"simplicity", "sound", "narcs", "ntrans",
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"nplaces", "nvariants", "mostfreq"])
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for item in log_path.item.unique().tolist():
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eval = pd.concat([eval, pn_infos(log_path, "item", item)])
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eval = eval.sort_index()
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# Export
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eval.to_csv("../results/pn_infos_items.csv", sep = ";")
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