This matrix result confuse me by strange float display: "0. "

enter image description here

import numpy as np
import numpy.linalg as LA
import pandas as pd
import matplotlib.pyplot as plt

path = "./A.csv";
A = pd.read_csv(path).values;

tposeA = np.transpose(A);
normA = LA.norm(A);

X0 = tposeA / ((normA)**2)

print(X0)

I have been working on this piece and it returns strange result in the matrix, do anyone know what this means and how am I suppose to do with this?
Many thanks!!

[First col and 4th row]

[0.0089  0.0035  0.0017  0.0053]
 
[0.0035  0.0089  0.0035  0.0089]
 
[0.0035  0.0178  0.0106  0.0124]
 
[0.(blank)      0.0017  0.0124  0.0267]

>Solution :

Since you are looking at floating point numbers, 0. means that the number equals exactly zero. It is the way NumPy displays float.