code: def heatmap(color, **kwargs):
      """Draw a heatmap in the current context figure.
  
      Parameters
      ----------
      color: numpy.ndarray, 2d
          Matrix of color of the data points
      options: dict (default: {})
          Options for the scales to be created. If a scale labeled 'x' is
          required for that mark, options['x'] contains optional keyword
          arguments for the constructor of the corresponding scale type.
      axes_options: dict (default: {})
          Options for the axes to be created. If an axis labeled 'x' is required
          for that mark, axes_options['x'] contains optional keyword arguments
          for the constructor of the corresponding axis type.
      """
      kwargs["color"] = color
      return _draw_mark(HeatMap, **kwargs)
  
imports: import sys
  from collections import OrderedDict
  from IPython.display import display
  from ipywidgets import Image
  from numpy import arange, issubdtype, array, column_stack, shape
  from .figure import Figure
  from bqscales import Scale, LinearScale, Mercator
  from .axes import Axis
  from .marks import Lines, Scatter, Hist, Bars, OHLC, Pie, Map, Image, Label, HeatMap, GridHeatMap, topo_load, Boxplot, Bins
  from .interacts import BrushIntervalSelector, FastIntervalSelector, BrushSelector, IndexSelector, MultiSelector, LassoSelector
  from traitlets.utils.sentinel import Sentinel
  import functools
label_desc: Use image node_id 35 for calling a global function with example usage: heatmap(color) and returns: _draw_mark