Quadmesh Plot#

This example visualizes gridded air temperature data using a quadmesh. It works well with xarray datasets to display continuous variables over a regular 2D grid.

import hvplot.xarray  # noqa
import numpy as np
import xarray as xr

np.random.seed(42)
# Irregular grid
x = np.sort(np.random.uniform(0, 10, size=40))
y = np.sort(np.random.uniform(0, 5, size=30))
X, Y = np.meshgrid(x, y)
data = np.sin(X) * np.cos(Y) * 3
ds = xr.Dataset({"value": (["y", "x"], data)}, coords={"y": y, "x": x})

ds.hvplot.quadmesh(
    x='x',
    y='y',
    cmap='viridis',
    title='Quadmesh Plot (Bokeh)',
)

import hvplot.xarray  # noqa
import numpy as np
import xarray as xr
hvplot.extension('matplotlib')

np.random.seed(42)
# Irregular grid
x = np.sort(np.random.uniform(0, 10, size=40))
y = np.sort(np.random.uniform(0, 5, size=30))
X, Y = np.meshgrid(x, y)
data = np.sin(X) * np.cos(Y) * 3
ds = xr.Dataset({'value': (['y', 'x'], data)}, coords={'y': y, 'x': x})

ds.hvplot.quadmesh(
    x='x',
    y='y',
    cmap='viridis',
    title='Quadmesh Plot (Matplotlib)',
)