code: def varsplits(self, use_pandas=False):
      """
      Retrieve per-variable split information for a given Isolation Forest model. Output will include:
  
      - count
          The number of times a variable was used to make a split.
      - aggregated_split_ratios
          The split ratio is defined as ``abs(#left_observations - #right_observations) / #before_split``.
          Even splits (``#left_observations`` approx the same as ``#right_observations``) contribute
          less to the total aggregated split ratio value for the given feature;
          highly imbalanced splits (eg. ``#left_observations >> #right_observations``) contribute more.
      - aggregated_split_depths
          The sum of all depths of a variable used to make a split.
          (If a variable is used on level N of a tree, then it contributes with N to the total aggregate.)
  
      :param use_pandas: If ``True``, then the variable splits will be returned as a Pandas data frame.
      :returns: A list or Pandas DataFrame.
  
      :examples:
  
      >>> from h2o.estimators import H2OIsolationForestEstimator
      >>> h2o_df = h2o.import_file("https://raw.github.com/h2oai/h2o/master/smalldata/logreg/prostate.csv")
      >>> train,test = h2o_df.split_frame(ratios=[0.75])
      >>> model = H2OIsolationForestEstimator(sample_rate = 0.1,
      ...                                     max_depth = 20,
      ...                                     ntrees = 50)
      >>> model.train(training_frame=train)
      >>> model.varsplits()
      """
      model = self._model_json["output"]
      if (
          "variable_splits" in list(model.keys())
          and model["variable_splits"]
      ):
          vals = model["variable_splits"].cell_values
          header = model["variable_splits"].col_header
  
          if use_pandas and can_use_pandas():
              import pandas
  
              return pandas.DataFrame(vals, columns=header)
          else:
              return vals
      else:
          print(
              "Warning: This model doesn't provide variable split information"
          )
  
imports: from h2o.model import ModelBase
  from h2o.utils.shared_utils import can_use_pandas
label_desc: Use image node_id 1 for calling the H2OAnomalyDetectionModel obj's underlying member method code with example usage: obj.varsplits(use_pandas) and returns: pandas, vals