Vectorfield Example

Download this notebook from GitHub (right-click to download).

---

import numpy as np
import geoviews as gv
import cartopy.crs as ccrs

gv.extension('matplotlib')

gv.output(fig='svg', size=200)

Define data

def sample_data(shape=(20, 30)):
    """
    Return ``(x, y, u, v, crs)`` of some vector data
    computed mathematically. The returned crs will be a rotated
    pole CRS, meaning that the vectors will be unevenly spaced in
    regular PlateCarree space.

    """
    crs = ccrs.RotatedPole(pole_longitude=177.5, pole_latitude=37.5)

    x = np.linspace(311.9, 391.1, shape[1])
    y = np.linspace(-23.6, 24.8, shape[0])

    x2d, y2d = np.meshgrid(x, y)
    u = 10 * (2 * np.cos(2 * np.deg2rad(x2d) + 3 * np.deg2rad(y2d + 30)) ** 2)
    v = 20 * np.cos(6 * np.deg2rad(x2d))

    return x, y, u, v, crs

xs, ys, U, V, crs = sample_data()
mag = np.sqrt(U**2 + V**2)
angle = np.pi / 2 - np.arctan2(-V, -U)
tiles = gv.tile_sources.OSM
vectorfield = gv.VectorField((xs, ys, angle, mag), crs=crs)

Plot

tiles.opts(zoom=4) * vectorfield.opts(magnitude='Magnitude', padding=0.1)

This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.

---

Download this notebook from GitHub (right-click to download).