code: def values(
      cls,
      dataset,
      dimension,
      expanded=True,
      flat=True,
      compute=True,
      keep_index=False,
  ):
      dimension = dataset.get_dimension(dimension)
      geom_dims = dataset.interface.geom_dims(dataset)
      data = dataset.data
      isgeom = dimension in geom_dims
      geom_col = cls.geo_column(dataset.data)
      is_points = cls.geom_type(dataset) == "Point"
      if isgeom and keep_index:
          return data[geom_col]
      elif not isgeom:
          if is_points:
              return data[dimension.name].values
          return get_value_array(
              data, dimension, expanded, keep_index, geom_col, is_points
          )
      elif not len(data):
          return np.array([])
  
      geom_type = cls.geom_type(dataset)
      index = geom_dims.index(dimension)
      geom_series = data[geom_col]
      if compute and hasattr(geom_series, "compute"):
          geom_series = geom_series.compute()
      return geom_array_to_array(
          geom_series.values, index, expanded, geom_type
      )
  
imports: import sys
  from collections import defaultdict
  import numpy
  import pandas
  from ..dimension import dimension_name
  from ..util import isscalar, unique_array, unique_iterator
  from .interface import DataError, Interface
  from .multipath import MultiInterface, ensure_ring
  from .pandas import PandasInterface
label_desc: Use image node_id 30 for calling the SpatialPandasInterface obj's underlying member method code with example usage: obj.values(cls, dataset, dimension, expanded, flat, compute, keep_index) and returns: geom_array_to_array, data, get_value_array, data, np