Note
Click here to download the full example code
Wind Rose¶
What it's for: A Wind Rose is a graphical tool used by meteorologists to give a succinct view of how wind speed and direction are typically distributed at a particular location.
When to use: Use this to characterize the wind climatology of a site. It is critical for siting wind turbines, designing airport runways, and understanding the dispersion of pollutants from a local source.
How to read: * Direction (Circular/Compass): The "petals" point toward the direction from which the wind is blowing. * Length of Petals: Indicates the frequency (percentage of time) the wind blows from that direction. * Color within Petals: Represents different wind speed categories (e.g., 0-2 m/s, 2-5 m/s, etc.). * Interpretation: A long petal pointing North indicates that the wind frequently blows from the North. The distribution of colors within that petal shows the distribution of wind speeds for that specific direction.
import matplotlib.pyplot as plt
import numpy as np
from monet_plots.plots.windrose import Windrose
# 1. Prepare sample data
np.random.seed(42)
n_samples = 1000
ws = np.random.gamma(2, 2, n_samples) # Wind speed
wd = np.random.uniform(0, 360, n_samples) # Wind direction
# 2. Initialize and create the plot
plot = Windrose(wd=wd, ws=ws, figsize=(8, 8))
plot.plot()
plt.title("Sample Windrose")
plt.show()
Total running time of the script: ( 0 minutes 0.541 seconds)
Download Python source code: plot_windrose.py