[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:%matplotlib inline\nimport matplotlib as mpl\nfrom matplotlib import pylab\nimport matplotlib.pyplot as plt\npylab.rcParams[\'figure.figsize\'] = (10.0, 7.0)\nmpl.style.use(\'ggplot\')\nfrom matplotlib.backends.backend_pgf import FigureCanvasPgf\nmpl.backend_bases.register_backend(\'pgf\', FigureCanvasPgf)\nmpl.rcParams.update({"font.family": "Bookman"})\nimport warnings\nimport sys, os\nfrom os.path import join\nsys.path.append("../tools/")\nfrom collections import defaultdict\nimport pandas as pd\nimport seaborn as sns\nimport scipy as sp\nimport udeval, udtree, lang_utils, dependency_classes\nfile_format = "conllu"\ntrain_type = "train"\nfine_grained_deprels = False\ngold_output_base = "/Users/jimmy/dev/edu/nlp-rod/udeval/resources/universaldependencies1-2/universal-dependencies-1.2/"\nfile_prefix = "deprel_classification"\ntreebanks = lang_utils.get_ud_paths(gold_output_base, type_=train_type, format_=file_format, coarse=fine_grained_deprels)\ndef sum_deprels(trees):\ndeprels = defaultdict(int)\nfor tree in trees:\nfor deprel in tree.deprels:\ndeprels[deprel.split(":")[0]] += 1\nreturn deprels\ndf_dict = {}\nfor language, treebank in treebanks.items():\ndeprels = sum_deprels(udtree.from_files(treebank))\ndf_dict[language] = deprels\ndeprel_per_lang = pd.DataFrame.from_dict(df_dict).transpose()'}, {'role': 'assistant', 'content': 'helper_functions'}]