Plot types

Overview of many common plotting commands in Matplotlib.

Note that we have stripped all labels, but they are present by default. See the gallery for many more examples and the tutorials page for longer examples.

Basic

Basic plot types, usually y versus x.

plot(x, y)

plot(x, y)

scatter(x, y)

scatter(x, y)

bar(x, height)

bar(x, height)

stem(x, y)

stem(x, y)

step(x, y)

step(x, y)

fill_between(x, y1, y2)

fill_between(x, y1, y2)

stackplot(x, y)

stackplot(x, y)

Plots of arrays and fields

Plotting for arrays of data Z(x, y) and fields U(x, y), V(x, y).

imshow(Z)

imshow(Z)

pcolormesh(X, Y, Z)

pcolormesh(X, Y, Z)

contour(X, Y, Z)

contour(X, Y, Z)

contourf(X, Y, Z)

contourf(X, Y, Z)

barbs(X, Y, U, V)

barbs(X, Y, U, V)

quiver(X, Y, U, V)

quiver(X, Y, U, V)

streamplot(X, Y, U, V)

streamplot(X, Y, U, V)

Statistics plots

Plots for statistical analysis.

hist(x)

hist(x)

boxplot(X)

boxplot(X)

errorbar(x, y, yerr, xerr)

errorbar(x, y, yerr, xerr)

violinplot(D)

violinplot(D)

eventplot(D)

eventplot(D)

hist2d(x, y)

hist2d(x, y)

hexbin(x, y, C)

hexbin(x, y, C)

pie(x)

pie(x)

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)

tricontourf(x, y, z)

tricontourf(x, y, z)

tripcolor(x, y, z)

tripcolor(x, y, z)

triplot(x, y)

triplot(x, y)