code: def get_bins(sdf, bins):
      # 'data' is a Spark DataFrame that selects all columns.
      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])
      boundaries = sdf.select(min_col, max_col).first()
  
      # divides the boundaries into bins
      if boundaries[0] == boundaries[1]:
          boundaries = (boundaries[0] - 0.5, boundaries[1] + 0.5)
  
      return np.linspace(boundaries[0], boundaries[1], bins + 1)
  
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 HistogramPlotBase obj's underlying member method code with example usage: obj.get_bins(sdf, bins) and returns: np