code: def get_fliers(colname, outliers, min_val):
      # Filters only the outliers, should "showfliers" be True
      fliers_df = outliers.filter("`__{}_outlier`".format(colname))
  
      # If it shows fliers, take the top 1k with highest absolute values
      # Here we normalize the values by subtracting the minimum value from
      # each, and use absolute values.
      order_col = F.abs(F.col("`{}`".format(colname)) - min_val.item())
      fliers = (
          fliers_df.select(F.col("`{}`".format(colname)))
          .orderBy(order_col)
          .limit(1001)
          .toPandas()[colname]
          .values
      )
  
      return fliers
  
imports: import importlib
  import pandas
  import numpy
  from pandas.core.base import PandasObject
  from pandas.core.dtypes.inference import is_integer
  from pyspark.ml.feature import Bucketizer
  from pyspark.mllib.stat import KernelDensity
  from pyspark.sql import functions
  from pyspark.pandas.missing import unsupported_function
  from pyspark.pandas.config import get_option
  from pyspark.pandas.utils import name_like_string
label_desc: Use image node_id 7 for calling the BoxPlotBase obj's underlying member method code with example usage: obj.get_fliers(colname, outliers, min_val) and returns: fliers