影像非均勻

這說明了 NonUniformImage 類別。它無法透過軸方法取得，但可以輕鬆地如這裡所示新增至軸執行個體。

import matplotlib.pyplot as plt
import numpy as np

from matplotlib import cm
from matplotlib.image import NonUniformImage

interp = 'nearest'

# Linear x array for cell centers:
x = np.linspace(-4, 4, 9)

# Highly nonlinear x array:
x2 = x**3

y = np.linspace(-4, 4, 9)

z = np.sqrt(x[np.newaxis, :]**2 + y[:, np.newaxis]**2)

fig, axs = plt.subplots(nrows=2, ncols=2, layout='constrained')
fig.suptitle('NonUniformImage class', fontsize='large')
ax = axs[0, 0]
im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
                     cmap=cm.Purples)
im.set_data(x, y, z)
ax.add_image(im)
ax.set_xlim(-4, 4)
ax.set_ylim(-4, 4)
ax.set_title(interp)

ax = axs[0, 1]
im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
                     cmap=cm.Purples)
im.set_data(x2, y, z)
ax.add_image(im)
ax.set_xlim(-64, 64)
ax.set_ylim(-4, 4)
ax.set_title(interp)

interp = 'bilinear'

ax = axs[1, 0]
im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
                     cmap=cm.Purples)
im.set_data(x, y, z)
ax.add_image(im)
ax.set_xlim(-4, 4)
ax.set_ylim(-4, 4)
ax.set_title(interp)

ax = axs[1, 1]
im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
                     cmap=cm.Purples)
im.set_data(x2, y, z)
ax.add_image(im)
ax.set_xlim(-64, 64)
ax.set_ylim(-4, 4)
ax.set_title(interp)

plt.show()