sarkas.tools.transport.ThermalConductivity.plot
sarkas.tools.transport.ThermalConductivity.plot#
- ThermalConductivity.plot(observable, display_plot=False)[source]#
Make a dual plot comparing the ACF and the Transport Coefficient by using the
plot_tc()method.- Parameters
observable (
sarkas.tools.observables.HeatFlux) – Observable object containing the ACF whose time integral leads to the self diffusion coefficient.display_plot (bool, optional) – Flag for displaying the plot if using the IPython. Default = False.
- Returns
fig (
matplotlib.pyplot.Figure) – Matplotlib figure handle(ax1, ax2, ax3, ax4) (tuple,
matplotlib.axes.Axes) – Tuple containing the axes handles for fig. ‘ax1` and ax2 are the handles for the left and right plots respectively. ax3 and ax4 are the handles for the “Index” axes, created from ax1.twiny() and ax2.twiny() respectively.