Weather data
------------

One of the strengths of Pandas is in analysing time series of measurements. Just to show what is possible,
let's take an example from https://www.bergensveret.no/ by UiB's skolelab. These three data files
contain weather data collected over 3 years, every 10 minutes.

* :download:`Garnes-2016-01-01-2019-09-16.csv`
* :download:`Sandgotna-2016-01-01-2019-09-16.csv`
* :download:`Haukeland-2016-01-01-2019-09-16.csv`

Comparison
..........

This code compares the three stations during July 2018:

.. literalinclude:: 26-sammenligning.py

.. image:: 26.png


Grouping and averaging
......................

We can also take one station and look at the average temperature during the day,
for different months:

.. literalinclude:: 27-gruppering.py

.. image:: 27.png