[{'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:# Open\nfig, (axis1) = plt.subplots(1,1,figsize=(15,4))\nsns.countplot(x=\'Open\',hue=\'DayOfWeek\', data=rossmann_df,palette="husl", ax=axis1)\n\n# fill NaN values in test_df with Open=1 if DayOfWeek != 7\ntest_df["Open"][test_df["Open"] != test_df["Open"]] = (test_df["DayOfWeek"] != 7).astype(int)\n\n# Drop Open column\n# rossmann_df.drop("Open", axis=1, inplace=True)\n# test_df.drop("Open", axis=1, inplace=True)\''}, {'role': 'assistant', 'content': "['data_preprocessing']"}]