in Python using Numpy

Randomly flipping some of the examples from positive to negative, and from negative to positive.

assume you have the following dataset ( assume data is 100 elements ) where the first column is x and second column is y and the third column is (0 or 1), 1 means the point is positive and 0 means the point is negative

the question is:

Write a function that randomly flips some of the examples from positive to negative, and from negative to positive with following noise (flipping) rates: 10%, 20%, 30%, 40%, and 50%

I wrote this but I want to flip random points based on the percentage

import numpy as np

def flipping(data,percentage):

data = np.genfromtxt('my_data1.csv', delimiter=',') c1 = data[:,0] c2= data[:,1] c3= data[:,2]

3 C 2 3 1 1 1 1 1 1 1 5 6 3 1 1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 1 1 A 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.2 0.2 0.2 0.2 0.2 0.2 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.16 0.2 1 1 B 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 0.96 1 1 1 1 1 1 20 1 21 1 1 1 22 23 24 25 1 0.2 1 1 1 26 27 28 29 0.2 0.2 0.2 0.24 1 0.96 1