Source code for pm4py.algo.merging.case_relations.variants.pandas

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import pandas as pd
from pm4py.util import exec_utils, constants, xes_constants
from enum import Enum
from typing import Optional, Dict, Any

[docs]class Parameters(Enum): TIMESTAMP_KEY = constants.PARAMETER_CONSTANT_TIMESTAMP_KEY CASE_ID_KEY = constants.PARAMETER_CONSTANT_CASEID_KEY LEFT_SUFFIX = "left_suffix" RIGHT_SUFFIX = "right_suffix"
[docs]def apply(dataframe1: pd.DataFrame, dataframe2: pd.DataFrame, case_relations: pd.DataFrame, parameters: Optional[Dict[Any, Any]] = None) -> pd.DataFrame: """ Merges the two dataframes (dataframe1 and dataframe2), inserting the events of the second dataframe inside the cases of the first dataframe. This is done using a background knowledge provided in the case_relations dataframe, where the cases of the two dataframes are put in relations. E.g., if in dataframe1 and dataframe2 there are two case ID columns (case:concept:name), they are put in relations by case_relations having two columns case:concept:name_LEFT and case:concept:name_RIGHT Parameters ----------------- dataframe1 Reference dataframe (in which the events of the other dataframe are inserted) dataframe2 Second dataframe (to insert in the cases of the first) case_relations Case relations dataframe parameters Parameters of the algorithm, including: - Parameters.TIMESTAMP_KEY => the timestamp key to use (default: time:timestamp) - Parameters.CASE_ID_KEY => the case identifier to use (default: case:concept:name) - Parameters.LEFT_SUFFIX => the suffix to the case identifier column of the first dataframe - Parameters.RIGHT_SUFFIX => the suffix to the case identifier column of the second dataframe Returns ---------------- merged_dataframe Merged dataframe """ if parameters is None: parameters = {} timestamp_key = exec_utils.get_param_value(Parameters.TIMESTAMP_KEY, parameters, xes_constants.DEFAULT_TIMESTAMP_KEY) left_suffix = exec_utils.get_param_value(Parameters.LEFT_SUFFIX, parameters, "_LEFT") right_suffix = exec_utils.get_param_value(Parameters.RIGHT_SUFFIX, parameters, "_RIGHT") case_id_key = exec_utils.get_param_value(Parameters.CASE_ID_KEY, parameters, constants.CASE_CONCEPT_NAME) dataframe2 = dataframe2.merge(case_relations, left_on=case_id_key, right_on=case_id_key + right_suffix) dataframe2[case_id_key] = dataframe2[case_id_key + left_suffix] dataframe1 = pd.concat([dataframe1, dataframe2]) dataframe1 = dataframe1.sort_values([case_id_key, timestamp_key]) return dataframe1