code: def sample_data(shape=(20, 30)):
      """
      Return ``(x, y, u, v, crs)`` of some vector data
      computed mathematically. The returned CRS will be a North Polar
      Stereographic projection, meaning that the vectors will be unevenly
      spaced in a PlateCarree projection.
  
      """
      crs = ccrs.NorthPolarStereo()
      scale = 1e7
      x = np.linspace(-scale, scale, shape[1])
      y = np.linspace(-scale, scale, shape[0])
  
      x2d, y2d = np.meshgrid(x, y)
      u = 10 * np.cos(2 * x2d / scale + 3 * y2d / scale)
      v = 20 * np.cos(6 * x2d / scale)
  
      return x, y, u, v, crs
  
imports: import matplotlib.pyplot
  import numpy
  import cartopy.crs
label_desc: Use image node_id 1 for calling a global function with example usage: sample_data(shape) and returns: x,  y,  u,  v,  crs