code: def get_rgb():
      Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
      Z[Z < 0] = 0.0
      Z = Z / Z.max()
  
      R = Z[:13, :13]
      G = Z[2:, 2:]
      B = Z[:13, 2:]
  
      return R, G, B
  
file_path: matplotlib/galleries/examples/axes_grid1/demo_axes_rgb.py
imports: import matplotlib.pyplot
  import numpy
  from matplotlib import cbook
  from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes, make_rgb_axes
label_desc: Use image node_id 1 for calling a global function with example usage: get_rgb() and returns: R,  G,  B