plot_weather_station_data

Steps to create probability density functions for TU Delft weather stations of wind speed

1. run downloader.py to download data. Note that you need KNMI API key for 10 minute dara. Place in root directory with file called api_key.
2. Create a folder named images.
3. run avspeedplot.py to create histograms.
4. run avgdirplots.py to create windroses.
5. run avgvsstdplots.py to create a plot of average speed vs standard deviation.

Note: log-normal fitting only makes sense for speed. It does not really fit for the wind directions. Code should be modified for wind direction plots.

Python requirements

1. pandas
2. scipy
3. numpy
4. matplotlib