Image NonuniformΒΆ

This illustrates the NonUniformImage class. It is not available via an Axes method but it is easily added to an Axes instance as shown here.

NonUniformImage class, nearest, nearest, bilinear, bilinear
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.image import NonUniformImage
from matplotlib import cm

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, constrained_layout=True)
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.images.append(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.images.append(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.images.append(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.images.append(im)
ax.set_xlim(-64, 64)
ax.set_ylim(-4, 4)
ax.set_title(interp)

plt.show()

Total running time of the script: ( 0 minutes 1.578 seconds)

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery