[{'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:fig, axes = plt.subplots(ncols = 2, figsize = (15,5), sharey = True)\nsns.pointplot(x = 'Hour', y = 'count', data = data, estimator = np.average, hue = 'workingday', ax = axes[0], palette = 'muted')\nsns.pointplot(x = 'Hour', y = 'count', data = data, estimator = np.average, hue = 'holiday', ax = axes[1], palette = 'muted')\nax = [0,1]\nfor i in ax:\n    axes[i].set(ylabel='Average Count')"}, {'role': 'assistant', 'content': "['result_visualization']"}]