Note
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Animating a gridded surface¶
This example demonstrates how to animate
gridded data using pcolormesh()
.
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy as np
import cartopy.crs as ccrs
fig = plt.figure(figsize=(10, 5))
ax = plt.axes(projection=ccrs.Robinson())
ax.set_global()
ax.coastlines()
x = np.linspace(-80, 80)
xs, ys = np.meshgrid(2 * x + 180, x)
zs = xs + ys
vmin, vmax = np.min(zs), np.max(zs)
mesh = ax.pcolormesh(xs, ys, np.zeros_like(zs), transform=ccrs.PlateCarree(),
shading='auto', vmin=vmin, vmax=vmax)
n = 10
def update_mesh(t):
mesh.set_array(zs.ravel() * t)
ts = [i / n for i in range(n)]
# Go back to the start to make it a smooth repeat
ts += ts[::-1]
ani = FuncAnimation(fig, update_mesh, frames=ts,
interval=100)
plt.show()
Total running time of the script: ( 0 minutes 5.364 seconds)