code: def _dtype_represents_categories(series):
      "Determines if the dtype of the series represents categorical values"
      return (
          is_bool_dtype(series)
          or is_object_dtype(series)
          or is_string_dtype(series)
          or is_categorical_dtype(series)
      )
  
imports: import numpy
  from sklearn import tree
  from sklearn import preprocessing
  from sklearn.model_selection import cross_val_score
  from sklearn.metrics import mean_absolute_error, f1_score
  import pandas
  from pandas.api.types import is_numeric_dtype, is_bool_dtype, is_object_dtype, is_categorical_dtype, is_string_dtype, is_datetime64_any_dtype, is_timedelta64_dtype
label_desc: Use image node_id 6 for calling a global function with example usage: _dtype_represents_categories(series) and returns: unknown