code: def get_value_array(
      data,
      dimension,
      expanded,
      keep_index,
      geom_col,
      is_points,
      geom_length=geom_length,
  ):
      """Returns an array of values from a GeoDataFrame.
  
      Args:
          data: GeoDataFrame
          dimension: The dimension to get the values from
          expanded: Whether to expand the value array
          keep_index: Whether to return a Series
          geom_col: The column in the data that contains the geometries
          is_points: Whether the geometries are points
          geom_length: The function used to compute the length of each geometry
  
      Returns:
          An array containing the values along a dimension
      """
      column = data[dimension.name]
      if keep_index:
          return column
      all_scalar = True
      arrays, scalars = [], []
      for i, geom in enumerate(data[geom_col]):
          length = 1 if is_points else geom_length(geom)
          val = column.iloc[i]
          scalar = isscalar(val)
          if scalar:
              val = np.array([val])
          if not scalar and len(unique_array(val)) == 1:
              val = val[:1]
              scalar = True
          all_scalar &= scalar
          scalars.append(scalar)
          if not expanded or not scalar:
              arrays.append(val)
          elif scalar:
              arrays.append(np.full(length, val))
          if (
              expanded
              and not is_points
              and not i == (len(data[geom_col]) - 1)
          ):
              arrays.append(np.array([np.nan]))
  
      if not len(data):
          return np.array([])
      if expanded:
          return (
              np.concatenate(arrays) if len(arrays) > 1 else arrays[0]
          )
      elif all_scalar and arrays:
          return np.array([a[0] for a in arrays])
      else:
          array = np.empty(len(arrays), dtype=object)
          array[:] = [a[0] if s else a for s, a in zip(scalars, arrays)]
          return array
  
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 5 for calling a global function with example usage: get_value_array(data, dimension, expanded, keep_index, geom_col, is_points, geom_length) and returns: column, np, unknown, np, array