[{'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:from mpl_toolkits.axes_grid.axislines import SubplotZero\nfig = plt.figure()\nax = SubplotZero(fig, 111)\nlin = np.linspace(-2, 2, 100)\nfig.add_subplot(ax)\nfor direction in ["xzero", "yzero"]:\nax.axis[direction].set_axisline_style("-|>")\nax.axis[direction].set_visible(True)\nfor direction in ["left", "right", "bottom", "top"]:\nax.axis[direction].set_visible(False)\nax.plot(lin, soft_threshold(lin, .5))\nax.set_title("Soft thresholding at 0.5")'}, {'role': 'assistant', 'content': "['result_visualization']"}]