Plot types — Matplotlib 3.11.2 documentation

Overview of many common plotting commands provided by Matplotlib.
See the gallery for more examples and the tutorials page for longer examples.
Plots of pairwise \((x, y)\), tabular \((var\_0, \cdots, var\_n)\), and functional \(f(x)=y\) data.
fill_between(x, y1, y2)
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)
Plots of arrays and images \(Z_{i, j}\) and fields \(U_{i, j}, V_{i, j}\) on regular grids and corresponding coordinate grids \(X_{i,j}, Y_{i,j}\).
streamplot(X, Y, U, V)
Plots of data \(Z_{x, y}\) on unstructured grids , unstructured coordinate grids \((x, y)\), and 2D functions \(f(x, y) = z\).
tricontourf(x, y, z)
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)
quiver(X, Y, Z, U, V, W)
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
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