# Week 7 ## 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?). {% hint style="info" %} See {% endhint %} 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 --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://python.afspies.com/exercises/week-7-1.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.