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  • Plot types
  • Examples
  • Tutorials
  • Reference
  • User guide
  • Develop
  • Release notes
  • Plot types
  • Examples
  • Tutorials
  • Reference
  • User guide
  • Develop
  • Release notes

Section Navigation

  • Basic
    • plot(x, y)
    • scatter(x, y)
    • bar(x, height)
    • stem(x, y)
    • step(x, y)
    • fill_between(x, y1, y2)
    • stackplot(x, y)
  • Plots of arrays and fields
    • 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)
  • Statistics plots
    • hist(x)
    • boxplot(X)
    • errorbar(x, y, yerr, xerr)
    • violinplot(D)
    • eventplot(D)
    • hist2d(x, y)
    • hexbin(x, y, C)
    • pie(x)
  • Unstructured coordinates
    • tricontour(x, y, z)
    • tricontourf(x, y, z)
    • tripcolor(x, y, z)
    • triplot(x, y)

Unstructured coordinates#

Sometimes we collect data z at coordinates (x,y) and want to visualize as a contour. Instead of gridding the data and then using contour, we can use a triangulation algorithm and fill the triangles.

tricontour(x, y, z)

tricontour(x, y, z)

tricontour(x, y, z)
tricontourf(x, y, z)

tricontourf(x, y, z)

tricontourf(x, y, z)
tripcolor(x, y, z)

tripcolor(x, y, z)

tripcolor(x, y, z)
triplot(x, y)

triplot(x, y)

triplot(x, y)
You are reading an old version of the documentation (v3.6.1). For the latest version see https://matplotlib.org/stable/plot_types/unstructured/index.html

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