scipy.integrate.ode.get_return_code¶

ode.get_return_code()[source]¶

Extracts the return code for the integration to enable better control if the integration fails.

In general, a return code > 0 implies success, while a return code < 0 implies failure.

Notes

This section describes possible return codes and their meaning, for available integrators that can be selected by set_integrator method.

“vode”

Return Code	Message
2	Integration successful.
-1	Excess work done on this call. (Perhaps wrong MF.)
-2	Excess accuracy requested. (Tolerances too small.)
-3	Illegal input detected. (See printed message.)
-4	Repeated error test failures. (Check all input.)
-5	Repeated convergence failures. (Perhaps bad Jacobian supplied or wrong choice of MF or tolerances.)
-6	Error weight became zero during problem. (Solution component i vanished, and ATOL or ATOL(i) = 0.)

“zvode”

Return Code	Message
2	Integration successful.
-1	Excess work done on this call. (Perhaps wrong MF.)
-2	Excess accuracy requested. (Tolerances too small.)
-3	Illegal input detected. (See printed message.)
-4	Repeated error test failures. (Check all input.)
-5	Repeated convergence failures. (Perhaps bad Jacobian supplied or wrong choice of MF or tolerances.)
-6	Error weight became zero during problem. (Solution component i vanished, and ATOL or ATOL(i) = 0.)

“dopri5”

Return Code	Message
1	Integration successful.
2	Integration successful (interrupted by solout).
-1	Input is not consistent.
-2	Larger nsteps is needed.
-3	Step size becomes too small.
-4	Problem is probably stiff (interrupted).

“dop853”

Return Code	Message
1	Integration successful.
2	Integration successful (interrupted by solout).
-1	Input is not consistent.
-2	Larger nsteps is needed.
-3	Step size becomes too small.
-4	Problem is probably stiff (interrupted).

“lsoda”

Return Code	Message
2	Integration successful.
-1	Excess work done on this call (perhaps wrong Dfun type).
-2	Excess accuracy requested (tolerances too small).
-3	Illegal input detected (internal error).
-4	Repeated error test failures (internal error).
-5	Repeated convergence failures (perhaps bad Jacobian or tolerances).
-6	Error weight became zero during problem.
-7	Internal workspace insufficient to finish (internal error).