text: import numpy as np
  import matplotlib.pyplot as plt
  from scipy.interpolate import interp1d
  
  # Original "data set" --- 21 random numbers between 0 and 1.
  x0 = np.linspace(-1,1,21)
  y0 = np.random.random(21)
  
  plt.plot(x0, y0, 'o', label='Data')
  
  # Array with points in between those of the data set for interpolation.
  x = np.linspace(-1,1,101)
  
  # Available options for interp1d
  options = ('linear', 'nearest', 'zero', 'slinear', 'quadratic', 'cubic', 10)
  
  
  for o in options:
      f = interp1d(x0, y0, kind=o)    # interpolation function
      plt.plot(x, f(x), label=o)      # plot of interpolated data
  
  plt.legend(loc='best')
  plt.show()
  