text: """
  false_minimum
  ~~~~~~~~~~~~~
  
  Plots a function of two variables with many false minima."""
  
  #### Libraries
  # Third party libraries
  from matplotlib.ticker import LinearLocator
  # Note that axes3d is not explicitly used in the code, but is needed
  # to register the 3d plot type correctly
  from mpl_toolkits.mplot3d import axes3d 
  import matplotlib.pyplot as plt
  import numpy
  
  fig = plt.figure()
  ax = fig.gca(projection='3d')
  X = numpy.arange(-5, 5, 0.1)
  Y = numpy.arange(-5, 5, 0.1)
  X, Y = numpy.meshgrid(X, Y)
  Z = numpy.sin(X)*numpy.sin(Y)+0.2*X
  
  colortuple = ('w', 'b')
  colors = numpy.empty(X.shape, dtype=str)
  for x in range(len(X)):
      for y in range(len(Y)):
          colors[x, y] = colortuple[(x + y) % 2]
  
  surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, facecolors=colors,
          linewidth=0)
  
  ax.set_xlim3d(-5, 5)
  ax.set_ylim3d(-5, 5)
  ax.set_zlim3d(-2, 2)
  ax.w_xaxis.set_major_locator(LinearLocator(3))
  ax.w_yaxis.set_major_locator(LinearLocator(3))
  ax.w_zaxis.set_major_locator(LinearLocator(3))
  
  plt.show()
  
  