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  • Plot types
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Section Navigation

  • Pairwise data
  • Statistical distributions
  • Gridded data:
    • imshow(Z)
    • pcolormesh(X, Y, Z)
    • contour(X, Y, Z)
    • contourf(X, Y, Z)
    • barbs(X, Y, U, V)
    • quiver(X, Y, U, V)
    • streamplot(X, Y, U, V)
  • Irregularly gridded data
  • 3D and volumetric data
  • Plot types
  • Gridded data:
  • imshow(Z)

Note

Go to the end to download the full example code

imshow(Z)#

See imshow.

imshow
import matplotlib.pyplot as plt
import numpy as np

plt.style.use('_mpl-gallery-nogrid')

# make data
X, Y = np.meshgrid(np.linspace(-3, 3, 16), np.linspace(-3, 3, 16))
Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)

# plot
fig, ax = plt.subplots()

ax.imshow(Z)

plt.show()

Download Jupyter notebook: imshow.ipynb

Download Python source code: imshow.py

Download zipped: imshow.zip

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