Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples. Pairwise data # Plots of pairwise \((x, y)\) , tabular \((var\_0, \cdots, var\_n)\) , and functional \(f(x)=y\) data. fill_between(x, y1, y2) stackplot(x, y) Statistical distributions # Plots of the distribution of at least one variable in a dataset. Some of these methods also compute the distributions. errorbar(x, y, yerr, xerr) hexbin(x, y, C) Plots of arrays and images \(Z_{i, j}\) and fields \(U_{i, j}, V_{i, j}\) on regular grids and corresponding coordinate grids \(X_{i,j}, Y_{i,j}\) . 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 #

Plots of data \(Z_{x, y}\) on unstructured grids , unstructured coordinate grids \((x, y)\) , and 2D functions \(f(x, y) = z\) . tricontour(x, y, z) tricontourf(x, y, z) tripcolor(x, y, z) 3D and volumetric data # Plots of three-dimensional \((x,y,z)\) , surface \(f(x,y)=z\) , and volumetric \(V_{x, y, z}\) data using the mpl_toolkits.mplot3d library. bar3d(x, y, z, dx, dy, dz) fill_between(x1, y1, z1, x2, y2, z2) plot(xs, ys, zs) quiver(X, Y, Z, U, V, W) scatter(xs, ys, zs) plot_surface(X, Y, Z) plot_trisurf(x, y, z) voxels([x, y, z], filled) plot_wireframe(X, Y, Z) Download all examples in Python source code: plot_types_python.zip Download all examples in Jupyter notebooks: plot_types_jupyter.zip Gallery generated by Sphinx-Gallery