Numpy

Numpy array basics

1 Alex's Awry Array Ailment

In this exercise you'll need to use list slicing and some previously unintroduced numpy functions to achieve a specific goal

Your aim is to create a function which creates a numpy array of dimension (NxM) [These are the parameters of the function] consisting of alternating 1s and 0s

You are not allowed to do this using lists or for-loops, instead use:

• np.ones(n,m) - creates a n x m matrix of 1s

• np.zeros(n,m) - creates a n x m matrix of 0s

2 Loading data with numpy

Use np.genfromtext() to load the data we've provided for you. For this exercise you'll want to use the "Deaths"data.

In order to get the desired behaviour, you'll need to specify some arguments in np.genfromtxt(), as we did in the example (What's the delimiter?, Is there a column names row?, Are there multiple types of data in each row?).

See https://docs.scipy.org/doc/numpy/user/basics.io.genfromtxt.html

1. Once you've imported these two data sets successfully, double check that you can access and print items from the numpy arrays in the same was we did with lists (i.e. using a for loop and [] index notation)

2. Add a column to the array which contains the fraction of deaths attributed to males