[{'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:import bokeh\nfrom bokeh.models import HoverTool\nfrom bokeh.palettes import Viridis6\nfrom bokeh.plotting import figure, show, output_file, ColumnDataSource\nfrom bokeh.sampledata.us_counties import data as counties\nfrom bokeh.sampledata.unemployment import data as unemployment\ncounties = {\ncode: county for code, county in counties.items() if county["state"] == "tx"\n}\ncounty_xs = [county["lons"] for county in counties.values()]\ncounty_ys = [county["lats"] for county in counties.values()]\ncounty_names = [county[\'name\'] for county in counties.values()]\ncounty_rates = [unemployment[county_id] for county_id in counties]\ncounty_colors = [Viridis6[int(rate/3)] for rate in county_rates]\nsource = ColumnDataSource(data=dict(\nx=county_xs,\ny=county_ys,\ncolor=county_colors,\nname=county_names,\nrate=county_rates,\n))\nTOOLS="pan,wheel_zoom,box_zoom,reset,hover,save"\np = figure(title="Texas Unemployment 2009", tools=TOOLS,\nx_axis_location=None, y_axis_location=None)\np.grid.grid_line_color = None\np.patches(\'x\', \'y\', source=source,\nfill_color=\'color\', fill_alpha=0.7,\nline_color="white", line_width=0.5)\nhover = p.select_one(HoverTool)\nhover.point_policy = "follow_mouse"\nhover.tooltips = [\n("Name", "@name"),\n("Unemployment rate)", "@rate%"),\n("(Long, Lat)", "($x, $y)"),\n]\noutput_file("texas.html", title="texas.py example")\nshow(p)\nfrom bokeh.io import output_notebook'}, {'role': 'assistant', 'content': "['helper_functions', 'data_exploration']"}]