Filled Contours#

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import numpy as np
import geoviews as gv
import geoviews.feature as gf

from cartopy import crs
from geoviews import opts


Define data#

def sample_data(shape=(73, 145)):
    """Returns ``lons``, ``lats`` and ``data`` of some fake data."""
    nlats, nlons = shape
    ys = np.linspace(-np.pi / 2, np.pi / 2, nlats)
    xs = np.linspace(0, 2*np.pi, nlons)
    lons, lats = np.meshgrid(xs, ys)
    wave = 0.75 * (np.sin(2 * lats) ** 8) * np.cos(4 * lons)
    mean = 0.5 * np.cos(2 * lats) * ((np.sin(2 * lats)) ** 2 + 2)

    lats = np.rad2deg(ys)
    lons = np.rad2deg(xs)
    data = wave + mean

    return lons, lats, data

lons, lats, data = sample_data()

# Make sure we declare the central longitude
contours = gv.FilledContours((lons, lats, data), crs=crs.PlateCarree(central_longitude=180))


(contours * gf.coastline).opts(
    opts.FilledContours(levels=8, color_levels=10, cmap='nipy_spectral',
                        colorbar=True, width=600, height=300, projection=crs.Mollweide()))
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