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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()
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