code: def get_ind(sdf, ind):
      def calc_min_max():
          if len(sdf.columns) > 1:
              min_col = F.least(*map(F.min, sdf))
              max_col = F.greatest(*map(F.max, sdf))
          else:
              min_col = F.min(sdf.columns[-1])
              max_col = F.max(sdf.columns[-1])
          return sdf.select(min_col, max_col).first()
  
      if ind is None:
          min_val, max_val = calc_min_max()
          sample_range = max_val - min_val
          ind = np.linspace(
              min_val - 0.5 * sample_range,
              max_val + 0.5 * sample_range,
              1000,
          )
      elif is_integer(ind):
          min_val, max_val = calc_min_max()
          sample_range = max_val - min_val
          ind = np.linspace(
              min_val - 0.5 * sample_range,
              max_val + 0.5 * sample_range,
              ind,
          )
      return ind
  
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 2 for calling the KdePlotBase obj's underlying member method code with example usage: obj.get_ind(sdf, ind) and returns: ind, sdf