Abstract
Roubeyrie et al., (2018). Windrose: A Python Matplotlib, Numpy library to manage wind and pollution data, draw windrose. Journal of Open Source Software, 3(29), 268, https://doi.org/10.21105/joss.00268
Highlights
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
Several windroses can be plotted using subplots to provide a plot per year with for example subplots per month
The Weibull distribution is used in weather forecasting and the wind power industry to describe wind speed distributions, as the natural distribution of wind speeds often matches the Weibull shape
Summary
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. It can be used to describe air quality pollution sources. The wind rose tool uses Matplotlib as a backend. Data can be passed to the package using Numpy arrays or a Pandas DataFrame. Windrose is a Python library to manage wind data, draw windroses ( known as polar rose plots), and fit Weibull probability density functions.
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