plot_demo*.py

plot_demo.define_labels()

Var:

Defines labels for x and y axis, and for the scale bars.

Vartype:

List of lists

Hint

First list defines what will be writen on the axis

x_label = ["0", "100", "200"]

Second line defines what will be the corresponding numerical value

x_label_val = [0, 100e3, 200e3]

Third line defines what will be the label of the axis.

x_label_text = "x (km)"

plot_demo.define_streamlines()

Var:

Defines the coordinates of the points from which the streamlines will be calculated.

Vartype:

List of lists

plot_demo.i_start

Var:

From which step to plot? (So that the script does not need to replot already plotted data.)

Vartype:

Integer

Attention

This parameter needs to be entered as an argument in the command line. E.g., to start plotting from step 10, run with

python plot_demo.py 10

plot_demo.name

Var:

Name of the directory from which the results will be read.

Vartype:

string

plot_demo.plot_HDF5_data

Var:

Whether to plot the HDF5 data from the simulation - temperature, velocity, viscosity, etc. For example, if False, enables the tracers to be plotted alone.

Vartype:

string

plot_demo.plot_axes

Var:

Puts labels on the x- and y-axis.

Vartype:

boolean

plot_demo.plot_comp_tracers

Var:

Whether to plot streamlines based on the velocity field.

Vartype:

boolean

plot_demo.plot_melt_tracers

Var:

Whether to plot melt tracers.

Vartype:

boolean

Simulation of tidally-induced internal melting (see Demo 5) with melt content shown on tracers.

plot_demo.plot_scalebar

Var:

Plots a rectangular scale bar inside the domain.

Vartype:

boolean

plot_demo.plot_streamlines

Var:

Whether to plot streamlines based on the velocity field.

Vartype:

boolean

plot_demo.plot_trajectories

Var:

Whether to plot streamlines based on the velocity field.

Vartype:

boolean

Hint

For example, to plot the tracers with IDs from “a” to “e” (defined in the parameter file):

plot_trajectories = [["a", "white"], ["b", "aqua"], ["c", "violet"], ["d", "yellow"], ["e", "lawngreen"]]

plot_demo.run_code()

Runs the plotting loop.

plot_demo.show_time

Var:

Whether to show time in the simulation. Units and position in the figure can be adjusted on the following line

if (show_time == True):
    ax.text(0, 1.1*z_label_val[-1], r"$t$ = "+str("{:.1f}".format(ii[2]))+" Myr", fontsize = font_size)

Vartype:

boolean

plot_demo.skip_plotting

Var:

Whether to plot the data True or to skip plotting and directly make an animation from already existing figures False

Vartype:

boolean

Warning

If the animation memory requirements are too high for convert -delay, making of the gif can fail. In that case, some time steps can be skipped, the resolution can be lowered, or some external tools may be used to make the animation.

plot_demo.tail

Var:

What type of tail to use for plotting the trajectory of the tracers.

Vartype:

"full", "comet" or "none"

The option "full" shows the full trajectory, but the image soon becomes unclear.

The option "comet" creates a comet-like tail which increases the clarity of the figure, as the tail length is given by the tail_length parameter (here set to 500 steps).

plot_demo.tail_length

Var:

Length of the tail behind the tracer in terms of time steps.

Vartype:

integer