Extend my __init__ method by an extra parameter Tol

[duyduy]

I want to extend my __init__ method by an extra parameter Tol (tolerance) which serves as a threshold for converting a given matrix to a sparse matrix. All elements of the original matrix which have an absolute value less than Tol should be considered as zeros. Give Tol a default value 0

this is my code

import numpy as np


class SparseMatrix:
 
    def __init__(self,matrix):
        self.matrix=np.asarray(matrix)
        self.intern_represent = 'CSR'
        self.intern_represent = 'CSC'
    
    @property   
    def values (self):
        return self.matrix [np.nonzero(self.matrix)]
         
      
    def __repr__(self):
        return (' A= '+ str(self.values) +
                '\nIA= ' + str(self.IA) +
                '\nJA= '+ str(self.JA))
 
    @property
    def IA (self):
        IA =[]
        IA.append (0)
        for i in range (1,np.shape(self.matrix)[0]+1):
            num=IA [i-1] + np.count_nonzero(self.matrix [i-1])
            IA.append(num)
        IA=np.asarray (IA)
        return IA
         
    @property
    def JA (self):
        index=np.nonzero(self.matrix)
        return index [1]
      
    @property   
    def number_of_nonzero(self):
        return len (self.values)
          
    def change (self,i,j,new):
        self.matrix [i][j]=new
        return new

    def ConvertCSC(self):
        return np.transpose(self.matrix)


    def CSReqaulCSC(self):
      if (self.matrix==np.transpose(self.matrix)).all():
          return True
      else:
          return False
      all