[{'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:start_with = 0 # pick a number between 1 and 50\nhow_many = 3 # choose the number of communities you want to plot between 1 and 5. More takes a lot of space in your notebook\nsubgraphs = sorted(nx.connected_component_subgraphs(genus_fact_graph), key=len, reverse=True)[start_with:start_with+how_many]\nfor idx, sg in enumerate(subgraphs):\ndegreeCent = nx.algorithms.degree_centrality(sg)\nprint(max(degreeCent, key=degreeCent.get))\nsave_graph(sg, "orange", \'local-community-\'+str(idx + 1)) # choose a color, e.g. red, blue, green, ...'}, {'role': 'assistant', 'content': "['data_exploration', 'modelling']"}]