[{'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:def remove_outliers_for_variable_by_quantiles(data, col, q1=.25, q2=.75):\n  df = data.copy()\n  median = df[col].median()\n  q25, q75 = df[col].quantile([q1,q2])\n  iqr = q75-q25\n  upper_wh = q75 +1.5*iqr\n  lower_wh = q25 - 1.5*iqr\n  whiskers = int(np.floor(lower_wh)), int(np.ceil(upper_wh))\n  df.drop(df[~df[col].between(whiskers[0], whiskers[1]) & (~np.isnan(df[col]))].index, inplace=True)\n  return df'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]