https://matplotlib.org/stable/plot_types/index.html

Plot types
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 
, tabular 
, and functional 
 data.


plot(x, y)

scatter(x, y)

bar(x, height)

stem(x, y)

fill_between(x, y1, y2)

stackplot(x, y)

stairs(values)
Statistical distributions
Plots of the distribution of at least one variable in a dataset. Some of these methods also compute 
the distributions.


hist(x)

boxplot(X)

errorbar(x, y, yerr, xerr)

violinplot(D)

eventplot(D)

hist2d(x, y)

hexbin(x, y, C)

pie(x)

ecdf(x)
Gridded data
Plots of arrays and images 
 and fields 
 on regular grids and corresponding coordinate grids 
.


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
Plots of data 
 on unstructured grids , unstructured coordinate grids 
, and 2D functions 
.


tricontour(x, y, z)

tricontourf(x, y, z)

tripcolor(x, y, z)

triplot(x, y)
3D and volumetric data
Plots of three-dimensional 
, surface 
, and volumetric 
 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)

stem(x, y, z)

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

 On this page
Pairwise data
Statistical distributions
Gridded data
Irregularly gridded data
3D and volumetric data