[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:L_array = np.linspace(8, 9, 5)  # values of L for which the system is relaxed.\nvortex_energies = []\nflower_energies = []\nfor L in L_array:\nvortex = minimise_system_energy(L, m_init_vortex)\nflower = minimise_system_energy(L, m_init_flower)\nvortex_energies.append(vortex.total_energy())\nflower_energies.append(flower.total_energy())\nimport matplotlib.pyplot as plt\nplt.plot(L_array, vortex_energies, 'o-', label='vortex')\nplt.plot(L_array, flower_energies, 'o-', label='flower')\nplt.xlabel('L (lex)')\nplt.ylabel('E')\nplt.xlim([8.0, 9.0])\nplt.grid()\nplt.legend()"}, {'role': 'assistant', 'content': 'result_visualization'}]