Hands-On Exploratory Data Analysis with Python

Random sampling with replacement

To generate random sampling with replacement, follow the given steps:

1. We can generate a random sample with replacement using the numpy.random.randint() method and drawing random integers:

sack = np.array([4, 8, -2, 7, 5])sampler = np.random.randint(0, len(sack), size = 10)sampler

We created the sampler using the np.random.randint() method. The output of the preceding code is as follows:

array([3, 3, 0, 4, 0, 0, 1, 2, 1, 4])

2. And now, we can draw the required samples:

draw = sack.take(sampler)draw

The output of the preceding code is as follows:

array([ 7,  7,  4,  5,  4,  4,  8, -2,  8,  5])

Compare the index of the sampler and then compare it with the original dataframe. The results are pretty obvious in this case. ...