[{'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:import matplotlib\nfig = plt.figure()\nfig.set_size_inches((16,1))\nax = fig.add_subplot(111)\nwidth, height = 1000, 200\ninterval = int(float(width) / len(clusters))\nfor i, v in clusters.iterrows():\noffset = i * interval\nrect = matplotlib.patches.Rectangle((offset,0), interval, height, color=(v/float(255)))\nax.add_patch(rect)\nplt.xlim([0, width])\nplt.ylim([0, height])'}, {'role': 'assistant', 'content': 'result_visualization'}]