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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _get_csv_from_section(sections, crumbs, csvs):
 """ Get table name, variable name, and column values from paleo metadata :param dict sections: Metadata :param str crumbs: Crumbs :param dict csvs: Csv :return dict sections: Metadata :return dict csvs: Csv """

    logger_csvs.info("enter get_csv_from_section: {}".format(crumbs))
    _idx = 0
    try:
        # Process the tables in section
        for _name, _section in sections.items():

            # Process each entry sub-table below if they exist
            if "measurementTable" in _section:
                sections[_name]["measurementTable"], csvs = _get_csv_from_table(_section["measurementTable"],"{}{}{}".format(crumbs, _idx, "measurement") , csvs)
            if "model" in _section:
                sections[_name]["model"], csvs = _get_csv_from_model(_section["model"], "{}{}{}".format(crumbs, _idx, "model") , csvs)
            _idx += 1

    except Exception as e:
        logger_csvs.error("get_csv_from_section: {}, {}".format(crumbs, e))
        print("Error: get_csv_from_section: {}, {}".format(crumbs, e))

    logger_csvs.info("exit get_csv_from_section: {}".format(crumbs))
    return sections, csvs