[{'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:b"fig, (ax1, ax2, ax3) = plt.subplots(ncols = 3, figsize=(12,5))\\n\\ntemp_scatter_plot = pd.concat([df_train[\'count\'],df_train[\'temp\']],axis = 1)\\nsns.regplot(x=\'temp\',y = \'count\',data = temp_scatter_plot,scatter= True, fit_reg=True, ax=ax1)\\nwindspeed_scatter_plot = pd.concat([df_train[\'count\'],df_train[\'windspeed\']],axis = 1)\\nsns.regplot(x=\'windspeed\',y = \'count\',data = windspeed_scatter_plot,scatter= True, fit_reg=True, ax=ax2)\\nhumidity_scatter_plot = pd.concat([df_train[\'count\'],df_train[\'humidity\']],axis = 1)\\nsns.regplot(x=\'humidity\',y = \'count\',data = humidity_scatter_plot,scatter= True, fit_reg=True, ax=ax3)\\n\\n#      Scatterplot .\\n# windspeed  0   . \\n#   0    Null 0     . "'}, {'role': 'assistant', 'content': "['result_visualization']"}]