`accumulate`#

class ansys.dpf.core.operators.math.accumulate.accumulate(fieldA=None, ponderation=None, time_scoping=None, config=None, server=None)#

Bases: ansys.dpf.core.dpf_operator.Operator

Sums all the elementary data of a field to produce one elementary data point.

Parameters:

fieldA (Field or FieldsContainer) – Field or fields container with only one field is expected
ponderation (Field, optional) – Field containing weights, one weight per entity
time_scoping (Scoping, optional) – Time_scoping

Returns:

field – Field containing the (weighted) sum for each component in an elementary data

Return type:

Field

Examples

>>> from ansys.dpf import core as dpf

>>> # Instantiate operator
>>> op = dpf.operators.math.accumulate()

>>> # Make input connections
>>> my_fieldA = dpf.Field()
>>> op.inputs.fieldA.connect(my_fieldA)
>>> my_ponderation = dpf.Field()
>>> op.inputs.ponderation.connect(my_ponderation)
>>> my_time_scoping = dpf.Scoping()
>>> op.inputs.time_scoping.connect(my_time_scoping)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.math.accumulate(
...     fieldA=my_fieldA,
...     ponderation=my_ponderation,
...     time_scoping=my_time_scoping,
... )

>>> # Get output data
>>> result_field = op.outputs.field()

Overview#

Properties

`inputs`	Enables to connect inputs to the operator
`outputs`	Enables to get outputs of the operator by evaluating it

Static methods

default_config

Returns the default config of the operator.

Import detail#

from ansys.dpf.core.operators.math.accumulate import accumulate

Property detail#

property accumulate.inputs#

Enables to connect inputs to the operator

Returns:: inputs
Return type:: InputsAccumulate

property accumulate.outputs#

Enables to get outputs of the operator by evaluating it

Returns:: outputs
Return type:: OutputsAccumulate

Method detail#

static accumulate.default_config(server=None)#