Hands-On Exploratory Data Analysis with Python

Random sampling without replacement

To compute random sampling without replacement, follow these steps:

1. To perform random sampling without replacement, we first create a permutation array.
2. Next, we slice off the first n elements of the array where n is the desired size of the subset you want to sample.
3. Then we use the df.take() method to obtain actual samples:

df.take(np.random.permutation(len(df))[:3])

The output of the preceding code is as follows:

Note that in the preceding code, we only specified a sample of size 3. Hence, we only get three rows in the random sample.