code: def _interval_max_min_ratio(data):
      """Compute the ratio between the largest and smallest inter-point distances.
  
      A value larger than 5 typically indicates that the parameter range would
      better be displayed with a log scale while a linear scale would be more
      suitable otherwise.
      """
      diff = np.diff(np.sort(data))
      return diff.max() / diff.min()
  
file_path: catboost/contrib/python/scikit-learn/py3/sklearn/utils/_plotting.py
imports: import numpy
  from .None import check_consistent_length, check_matplotlib_support
  from ._response import _get_response_values_binary
  from .multiclass import type_of_target
  from .validation import _check_pos_label_consistency
label_desc: Use image node_id 2 for calling a global function with example usage: _interval_max_min_ratio(data) and returns: unknown