Exercise 7
==========

.. note::

    Exercise 7 is due by **17:00 on Friday, October 29, 2021**.

.. admonition:: Start your assignment

    **You can start working on your copy of Exercise 7 by** accepting the `GitHub Classroom assignment <https://classroom.github.com/a/9-N458M6>`__

You can also take a look at the template repository for `Exercise 7 on GitHub <https://github.com/Geo-Python-2021/Exercise-7>`__ (does not require logging in).
Note that you should not try to make changes to this copy of the exercise, but rather only to the copy available via GitHub Classroom.

.. admonition:: Pair programming (optional!)

    Students attending the course in Helsinki, **if you wish, you can continue working in pairs**.
    See more information in Slack, and in week 2: `Why are we working in pairs? <https://geo-python-site.readthedocs.io/en/latest/lessons/L2/why-pairs.html>`_.
    Those students who want to submit their own solutions, please contact the course assistant that is grading your assignments (see list in Slack).

Cloud computing environments
-----------------------------

.. image:: https://img.shields.io/badge/launch-binder-red.svg
   :target: https://mybinder.org/v2/gh/Geo-Python-2021/Binder/main?urlpath=lab
   
.. image:: https://img.shields.io/badge/launch-CSC%20notebook-blue.svg
   :target: https://notebooks.csc.fi/#/blueprint/1b4c5cbce4ab4acb8976e93a1f4de3dc

Hints for Exercise 7
--------------------

Generating random numbers
~~~~~~~~~~~~~~~~~~~~~~~~~

We can generate random numbers using using a method ``random.rand()`` from the `NumPy package <https://numpy.org/>`__. This example generates 10 random values:

.. code-block:: python

    import numpy as np
    random_numbers = np.random.rand(10)

This produces an array object ``random_numbers`` that could look, for example, like this (each time you run the code you get a different set of random numbers!):

.. code-block:: python

    array([0.30888937, 0.02648327, 0.62740074, 0.75795089, 0.41083545,
           0.91937694, 0.90100588, 0.33312242, 0.39950947, 0.8181788 ]

You can insert this array into a column in a pandas DataFrame as follows, assuming that the array length and DataFrame length match:

.. code-block:: python

    ...

    data["new_column"] = random_numbers

Formatting your plots
~~~~~~~~~~~~~~~~~~~~~

- You can control the marker size using the parameter ``markersize`` when plotting. The example plot in Problem 2 uses ``markersize=3``.
- You can add grid lines to your plot using ``plt.grid()``