Hands-On Exploratory Data Analysis with Python

Permutation and random sampling

Well, now we have some more mathematical terms to learn: permutation and random sampling. Let's examine how we can perform permutation and random sampling using the pandas library:

1. With NumPy's numpy.random.permutation() function, we can randomly select or permute a series of rows in a dataframe. Let's understand this with an example:

dat = np.arange(80).reshape(10,8)df = pd.DataFrame(dat)df

And the output of the preceding code is as follows:

2. Next, we call the np.random.permutation() method. This method takes an argument – the length of the axis we require to be permuted – and gives an array of integers indicating ...