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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 _load_single_patient_cufflinks(self, patient, filter_ok):
 """ Load Cufflinks gene quantification given a patient Parameters patient : Patient filter_ok : bool, optional If true, filter Cufflinks data to row with FPKM_status == "OK" Returns ------- data: Pandas dataframe Pandas dataframe of sample's Cufflinks data columns include patient_id, gene_id, gene_short_name, FPKM, FPKM_conf_lo, FPKM_conf_hi """

        data = pd.read_csv(patient.tumor_sample.cufflinks_path, sep="\t")
        data["patient_id"] = patient.id

        if filter_ok:
            # Filter to OK FPKM counts
            data = data[data["FPKM_status"] == "OK"]
        return data