examples/example_05_custom_parameter.py
def add_parameters(traj):
    """Adds all necessary parameters to the `traj` container"""

    traj.f_add_parameter('steps', 10000, comment='Number of time steps to simulate')
    traj.f_add_parameter('dt', 0.01, comment='Step size')

    # Here we want to add the initial conditions as an array parameter. We will simulate
    # a 3-D differential equation, the Lorenz attractor.
    traj.f_add_parameter(ArrayParameter,'initial_conditions', np.array([0.0,0.0,0.0]),
                         comment = 'Our initial conditions, as default we will start from'
                                   ' origin!')

    # We will group all parameters of the Lorenz differential equation into the group 'func_params'
    traj.f_add_parameter('func_params.sigma', 10.0)
    traj.f_add_parameter('func_params.beta', 8.0/3.0)
    traj.f_add_parameter('func_params.rho', 28.0)

    #For the fun of it we will annotate the  group
    traj.func_params.v_annotations.info='This group contains as default the original values chosen ' \
                                   'by Edward Lorenz in 1963. Check it out on wikipedia ' \
                                   '(https://en.wikipedia.org/wiki/Lorenz_attractor)!'
def add_parameters(traj):
    traj.f_add_parameter('steps', 10000, comment='Number of time steps to simulate')
    traj.f_add_parameter('dt', 0.01, comment='Step size')

    # Here we want to add the initial conditions as an array parameter. We will simulate
    # a 3-D differential equation, the Lorenz attractor.
    traj.f_add_parameter(ArrayParameter,'initial_conditions', np.array([0.0,0.0,0.0]),
                         comment = 'Our initial conditions, as default we will start from'
                                   ' origin!')

    # We will group all parameters of the Lorenz differential equation into the group 'func_params'
    traj.f_add_parameter('func_params.sigma', 10.0)
    traj.f_add_parameter('func_params.beta', 8.0/3.0)
    traj.f_add_parameter('func_params.rho', 28.0)

    #For the fun of it we will annotate the  group
    traj.func_params.v_annotations.info='This group contains as default the original values chosen ' \
                                   'by Edward Lorenz in 1963. Check it out on wikipedia ' \
                                   '(https://en.wikipedia.org/wiki/Lorenz_attractor)!'
def add_parameters ( traj ) : traj . f_add_parameter ( 'steps' , 10000 , comment = 'Number of time steps to simulate' ) traj . f_add_parameter ( 'dt' , 0.01 , comment = 'Step size' ) # Here we want to add the initial conditions as an array parameter. We will simulate # a 3-D differential equation, the Lorenz attractor. traj . f_add_parameter ( ArrayParameter , 'initial_conditions' , np . array ( [ 0.0 , 0.0 , 0.0 ] ) , comment = 'Our initial conditions, as default we will start from' ' origin!' ) # We will group all parameters of the Lorenz differential equation into the group 'func_params' traj . f_add_parameter ( 'func_params.sigma' , 10.0 ) traj . f_add_parameter ( 'func_params.beta' , 8.0 / 3.0 ) traj . f_add_parameter ( 'func_params.rho' , 28.0 ) #For the fun of it we will annotate the  group traj . func_params . v_annotations . info = 'This group contains as default the original values chosen ' 'by Edward Lorenz in 1963. Check it out on wikipedia ' '(https://en.wikipedia.org/wiki/Lorenz_attractor)!'
Adds all necessary parameters to the `traj` container
Adds all necessary parameters to the traj container