class_docstr: Vertical line annotation at the given position.
class_docstr_tok: ["Vertical","line","annotation","at","the","given","position","."]
docstr: Return the values along the requested dimension.
  
  Args:
      dimension: The dimension to return values for
      expanded (bool, optional): Whether to expand values
      flat (bool, optional): Whether to flatten array
  
  Returns:
      NumPy array of values along the requested dimension
code: def dimension_values(self, dimension, expanded=True, flat=True):
      """Return the values along the requested dimension.
  
      Args:
          dimension: The dimension to return values for
          expanded (bool, optional): Whether to expand values
          flat (bool, optional): Whether to flatten array
  
      Returns:
          NumPy array of values along the requested dimension
      """
      index = self.get_dimension_index(dimension)
      if index == 0:
          return np.array([self.data])
      elif index == 1:
          return np.array([np.nan])
      else:
          return super().dimension_values(dimension)
  
imports: from numbers import Number
  import numpy
  import param
  from ..core import Dimension, Element, Element2D
  from ..core.data import Dataset
  from ..core.util import datetime_types
label_desc: Use image node_id 2 for calling the VLine obj's underlying member method code with example usage: obj.dimension_values(dimension, expanded, flat) and returns: np, np, super