class_docstr: Orthonormal (for weight=1) Fourier Polynomial on [0,1]
  
  orthonormal polynomial but density needs corfactor that I do not see what
  it is analytically
  
  parameterization on [0,1] from
  
  Sam Efromovich: Orthogonal series density estimation,
  2010 John Wiley & Sons, Inc. WIREs Comp Stat 2010 2 467-476
class_docstr_tok: ["Orthonormal","(","for","weight=1",")","Fourier","Polynomial","on","[","0,1","]","orthonormal","polynomial","but","density","needs","corfactor","that","I","do","not","see","what","it","is","analytically","parameterization","on","[","0,1","]","from","Sam","Efromovich",":","Orthogonal","series","density","estimation",",","2010","John","Wiley","&","Sons",",","Inc.","WIREs","Comp","Stat","2010","2","467-476"]
code: def __init__(self, order):
      self.order = order
      self.domain = (0, 1)
      self.intdomain = self.domain
  
imports: from scipy import stats, integrate, special
  import numpy
label_desc: Use image node_id 1 to create a new FPoly object  with example: obj = FPoly(order)