Python computes Newton iterative polynomial example analysis

In this paper, we describe the method of Python to compute Newton iterative polynomial. Share to everyone for your reference. The implementation method is as follows:

"P = Evalpoly (a,xdata,x).  Evaluates Newton ' s polynomial p at x. The coefficient  vector ' a ' can is computed by the function ' coeffts '.  A = Coeffts (xdata,ydata).  Computes the coefficients of Newton ' s polynomial.  " def evalpoly (a,xdata,x):  n = Len (xData)-1 # Degree of polynomial  p = a[n] for  K in range (1,n+1):    p = a[n -K] + (X-xdata[n-k]) *p  return pdef coeffts (xdata,ydata):  m = Len (xData) # Number of data points  A = YDATA.C Opy () for  K in range (1,m):    a[k:m] = (a[k:m]-a[k-1])/(Xdata[k:m]-xdata[k-1])  return a

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