Some academics use it to track lightning strikes during high intensity storms. Some others contributors have used it to make figures for a wind power plant control optimization study. It is also used by some contributors for teaching purpose. Data from local pollution measures and meteorologic information from various sources like Meteo-France were used to generate a pollution source wind rose. The initial use case of this library was for a technical report concerning pollution exposure and wind distributions analyzes. Windrose is a Python library to manage wind data, draw windroses (also known as polar rose plots), and fit Weibull probability density functions. Data can be passed to the package using Numpy arrays or a Pandas DataFrame. The wind rose tool uses Matplotlib as a backend. It can also be used to describe air quality pollution sources. A wind rose is a graphic tool used by meteorologists to give a succinct view of how wind speed and direction are typically distributed at a particular location.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |