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Session SciPy Problems

In session 4 we learnt about the following:

  1. Numpy
  2. SciPy
  3. Matplotlib

Visit the SciPy website for documents and examples on all three.

We are going to use the data we gathered in the reading and writing files session (session 4) and do some plotting.

A simple line graph

Plot a line graph for the functions sin() and cos() between 0 and 4\pi using both numpy and matplotlib. The Cheat Sheet will help you.

A histogram of debt

In the resources folder on this GitHub page you will find a csv file of project debts - debts.csv (it is not real data). This data set was introduced in session 4 where you were asked to find the sum of all debts.

Below is a sample of what the data file looks like:

Job Number Debt
243156 1235.63
236412 2356.21
315224 23.01

Your task is to write a python program that plots a histogram of the debts. There is an example in the Cheat Sheet. Is there a pattern of debts here?

The sample code given in session 4 is repeated below:

import csv
with open("debts.csv") as csvfile:
  csvData = csv.DictReader(csvfile)
  for row in csvData:
    job_number = row['Job Number']
    debt = row['Debt']
    print(job_number, debt)

Tails

Your dream job at the bureau of meteorology is going well. However, you decide that you would like to start investigating the weather files you have been given.

Using what you learned in session 4, write a python program that plots Wind speed in m/s vs Speed of maximum windgust in last 10 minutes in m/s using a scatter plot. (A scatter plot is just a line graph where you use dots 'b.' rather than a line 'b').

There seems to be a pattern here. What rule of thumb could you use to predict the wind gust from the wind speed?