[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:tableau20 = [(31, 119, 180), (174, 199, 232), (255, 127, 14)]\nfor i in range(len(tableau20)):\nr, g, b = tableau20[i]\ntableau20[i] = (r / 255., g / 255., b / 255.)\nplt.figure(figsize=(12, 8))\nax = plt.subplot(111)\nax.spines["top"].set_visible(False)\nax.spines["bottom"].set_visible(False)\nax.spines["right"].set_visible(False)\nax.spines["left"].set_visible(False)\nplt.yticks(range(0, 4000, 500), [str(x) + " million" for x in range(0, 4000, 500)], fontsize=12)\nplt.xticks(fontsize=14)\nplt.xlim(2005, 2016)\nfor y in range(0, 4000, 1000):\nplt.plot(range(2004, 2017), [y] * len(range(2004, 2017)), "--", lw=0.5, color="black", alpha=0.3)\nplt.tick_params(axis="both", which="both", bottom="off", top="off",\nlabelbottom="on", left="off", right="off", labelleft="on")\n"""\nplot(years,users_millions, years,users_developed_millions, years,users_developing_millions )\ntitle(\'Internet Users\')\nylabel(\'Number Of Users\')\nxlabel(\'Year\')\nlegend((\'total users\', \'users in devloped world\', \'users in devloping world\'))\n"""\nplt.plot(years, users_millions, lw=2.5, color=tableau20[0])\ny_pos = users_millions[-1] - 0.5\nplt.text(years[-1], y_pos, "  Total Internet Users\\n" + str(users_millions[-1]) + " million", fontsize=15, color=tableau20[0])\nplt.plot(years, users_developed_millions, lw=4, color=tableau20[1])\ny_pos = users_developed_millions[-1] - 0.5\nplt.text(years[-1], y_pos, "Users in Developed Countries", fontsize=12, color=tableau20[1])\nplt.plot(years, users_developing_millions, lw=2.5, color=tableau20[2])\ny_pos = users_developing_millions[-1] - 0.5\nplt.text(years[-1], y_pos, "Users in Developing Countries", fontsize=12, color=tableau20[2])'}, {'role': 'assistant', 'content': "['helper_functions', 'data_exploration']"}]