class_docstr: Create the arrays sphere_x, sphere_y, sphere_z to plot a sphere.
  
  Create the arrays sphere_x, sphere_y, sphere_z of values
  to plot the wireframe of a sphere.
  Their shape is (n_meridians, n_circles_latitude).
class_docstr_tok: ["Create","the","arrays","sphere_x",",","sphere_y",",","sphere_z","to","plot","a","sphere",".","Create","the","arrays","sphere_x",",","sphere_y",",","sphere_z","of","values","to","plot","the","wireframe","of","a","sphere",".","Their","shape","is","(","n_meridians",",","n_circles_latitude",")","."]
docstr: Get spherical Fibonacci point sets.
  
  Point sets are yield nearly uniform point distributions on the unit
  sphere.
docstr_tok: ["Get","spherical","Fibonacci","point","sets",".","Point","sets","are","yield","nearly","uniform","point","distributions","on","the","unit","sphere","."]
code: def get_fibonnaci_points(self, n_points=16000):
      """Get spherical Fibonacci point sets.
  
      Point sets are yield nearly uniform point distributions on the unit
      sphere.
      """
      x_vals = []
      y_vals = []
      z_vals = []
  
      offset = 2.0 / n_points
      increment = gs.pi * (3.0 - gs.sqrt(5.0))
  
      for i in range(n_points):
          y = ((i * offset) - 1) + (offset / 2)
          r = gs.sqrt(1 - pow(y, 2))
  
          phi = ((i + 1) % n_points) * increment
  
          x = gs.cos(phi) * r
          z = gs.sin(phi) * r
  
          x_vals.append(x)
          y_vals.append(y)
          z_vals.append(z)
  
      x_vals = [(self.radius * i) for i in x_vals]
      y_vals = [(self.radius * i) for i in y_vals]
      z_vals = [(self.radius * i) for i in z_vals]
  
      return gs.array([x_vals, y_vals, z_vals])
  
file_path: geomstats/geomstats/visualization/hypersphere.py
imports: import matplotlib.pyplot
  from mpl_toolkits.mplot3d import Axes3D
  import geomstats.backend
  from geomstats.geometry.hypersphere import Hypersphere
label_desc: Use image node_id 6 for calling the Sphere obj's underlying member method code with example usage: obj.get_fibonnaci_points(n_points) and returns: gs