comparison COBRAxy/ras_to_bounds.py @ 61:455e8945d02a draft

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60:547942aa1a93

            ras.set_index("Reactions", drop=True, inplace=True)
            ras = ras.T
            ras = ras.astype(float)
            ras_list.append(ras)
            for patient_id in ras.index:
                class_assignments = pd.concat([class_assignments, pd.DataFrame({"Patient_ID": patient_id, "Class": ras_class_name})])
        
        
        # Concatenate all ras DataFrames into a single DataFrame
        ras_combined = pd.concat(ras_list, axis=1)
        # Normalize the RAS values by max RAS

61:455e8945d02a

            ras.set_index("Reactions", drop=True, inplace=True)
            ras = ras.T
            ras = ras.astype(float)
            ras_list.append(ras)
            for patient_id in ras.index:
                class_assignments.loc[class_assignments.shape[0]] = [patient_id, ras_class_name]
        
        
        # Concatenate all ras DataFrames into a single DataFrame
        ras_combined = pd.concat(ras_list, axis=1)
        # Normalize the RAS values by max RAS