Note
Click here to download the full example code
Wind Quiver Plot¶
What it's for: A Wind Quiver plot uses arrows (vectors) to represent the wind flow field.
When to use: Use this for an intuitive, visual representation of wind direction and speed. It is particularly effective for visualizing circulation patterns, such as vortices or the flow around geographic obstacles.
How to read: * The Arrow: Points in the direction the wind is blowing. * Arrow Length/Color: Typically represents the magnitude of the wind speed. * Interpretation: The density and orientation of the arrows provide a snapshot of the overall wind velocity field.
import matplotlib.pyplot as plt
import numpy as np
from monet_plots.plots.wind_quiver import WindQuiverPlot
# 1. Prepare sample data
class GridObj:
def __init__(self, lat, lon):
self.variables = {
"LAT": lat[np.newaxis, np.newaxis, :, :],
"LON": lon[np.newaxis, np.newaxis, :, :],
}
lats = np.linspace(30, 50, 20)
lons = np.linspace(-125, -70, 20)
lon_grid, lat_grid = np.meshgrid(lons, lats)
gridobj = GridObj(lat_grid, lon_grid)
ws = np.random.uniform(5, 20, (20, 20))
wdir = np.random.uniform(0, 360, (20, 20))
# 2. Initialize and plot
plot = WindQuiverPlot(ws, wdir, gridobj, figsize=(10, 8))
plot.plot()
plt.title("Wind Quiver Example")
plt.show()
Total running time of the script: ( 0 minutes 0.156 seconds)
Download Python source code: plot_wind_quiver.py