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randomly change numpy array values

Tags:

python

numpy

I have an array data.

import numpy as np

data = np.array([[1,0,4,1,1,2,0],
                 [1,0,0,4,0,1,0],
                 [4,0,4,3,2,1,0],
                 [4,0,1,1,2,1,1]])

print(data)

If some non_zero elements (1,2,3,4) have more than 5 counts, I want to randomly extract and keep 5 positions and replace all other positions into 0s.

uniques, counts = np.unique(data, return_counts=True)
for unique, count in zip(uniques, counts):
    print (unique, count)

    if count > 5:       
       
       ids = np.random.choice(range(count), 5, replace=False)

How can I do it?

like image 586
Roman Avatar asked Jan 21 '26 21:01

Roman


1 Answers

uniques, counts = np.unique(data, return_counts=True)
for unique, count in zip(uniques, counts):
    print (unique, count)
    if unique != 0 and count > 5:
       ids = np.random.choice(count, count-5, replace=False)
       data[tuple(i[ids] for i in np.where(data == unique))] = 0
like image 57
yao99 Avatar answered Jan 23 '26 10:01

yao99



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