amep.plot

Visualization

The AMEP module amep.plot contains methods to visualize and animate simulations, observables, and analysis results. It is based on the Matplotlib Python library. For a detailed customization of plots see also https://matplotlib.org/stable/tutorials/introductory/customizing.html.

Functions

add_colorbar(fig, axis, mappable[, ...])	Add a colorbar to an existing plot.
add_inset(axis, indicator_extent, inset_extent)	Add an inset plot to the existing plot (axis).
amep_plot_defaults()	Shortcut function to set amep plot defaults.
animate_trajectory(trajectory, outfile[, ...])	Create a video from a trajectory.
box(axis, box_boundary, **kwargs)	Adds the simulation box to the given axis.
colored_line(axis, x_vals, y_vals[, cols, ...])	Add a line to the given axis.
create_video(fig, update_frame_func, data, ...)	Create a video from frames generated by a make_frame function.
draw_box(fig, box_extent[, text, edgecolor, ...])	Draws a box.
field(ax, density, X, Y[, cmap, ...])	Visualize a scalar field on a matplotlib axes object.
format_axis(axis[, which, axiscolor, ...])	Format the given axis(axes) of the plot.
linear_mappable(cmap, vmin, vmax[, cscale])	Generate a scalar mappable colormap.
matplotlib_plot_defaults()	Shortcut function to revert to the matplotlib rcparams defaults.
new([figsize, facecolor, nrows, ncols, ...])	Create a new matplotlib.pyplot figure.
particles(ax, coords, box_boundary, radius)	Visualize particles as circles on a matplotlib axes object.
set_locators(axis[, which, major, minor])	Set the locations of major and minor ticks.
style([style_name, mpl_default])	Set the plot style.
to_latex(string)	Replace the mathematical operators with corresponding LaTeX commands.
voronoi(axs, vor, **kwargs)	Plots the Voronoi tessellations from a Voronoi object calculated with scipy function voronoi_plot_2d [1]_.