Post-Process Variables¶

pybamm.post_process_variables(variables, t_sol, u_sol, mesh=None, interp_kind='linear')[source]¶

Post-process all variables in a model

Parameters:	variables (dict) – Dictionary of variables t_sol (array_like, size (m,)) – The time vector returned by the solver u_sol (array_like, size (m, k)) – The solution vector returned by the solver. Can include solution values that other than those that get read by base_variable.evaluate() (i.e. k>=n) mesh (`pybamm.Mesh`) – The mesh used to solve, used here to calculate the reference x values for interpolation interp_kind (str) – The method to use for interpolation
Returns:	Dictionary of processed variables
Return type:	dict

class pybamm.ProcessedVariable(base_variable, t_sol, u_sol, mesh=None, interp_kind='linear', known_evals=None)[source]¶

An object that can be evaluated at arbitrary (scalars or vectors) t and x, and returns the (interpolated) value of the base variable at that t and x.

Parameters:

base_variable (pybamm.Symbol) – A base variable with a method evaluate(t,y) that returns the value of that variable. Note that this can be any kind of node in the expression tree, not just a pybamm.Variable. When evaluated, returns an array of size (m,n)
t_sol (array_like, size (m,)) – The time vector returned by the solver
u_sol (array_like, size (m, k)) – The solution vector returned by the solver. Can include solution values that other than those that get read by base_variable.evaluate() (i.e. k>=n)
mesh (pybamm.Mesh) – The mesh used to solve, used here to calculate the reference x values for interpolation
interp_kind (str) – The method to use for interpolation

initialise_3D()[source]¶: Initialise a 3D object that depends on x and r. Needs to be generalised to deal with other domains