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| import pm4py | |
| def execute_script(): | |
| log = pm4py.read_xes("../tests/input_data/receipt.xes") | |
| fea_df = pm4py.extract_features_dataframe(log, include_case_id=True) | |
| # sets the case ID as index for the dataframe, so a row for a specific case | |
| # can be retrieved | |
| fea_df = fea_df.set_index("case:concept:name") | |
| # identifies the features for the case with identifier "case-10017" | |
| features_per_case = fea_df.loc["case-10017"].to_dict() | |
| print(features_per_case) | |
| if __name__ == "__main__": | |
| execute_script() | |