`exponential`#

class ansys.dpf.core.operators.math.exponential.exponential(field=None, config=None, server=None)#

Bases: ansys.dpf.core.dpf_operator.Operator

Computes element-wise exp(field[i]).

Parameters:: field (Field or FieldsContainer or float) – field or fields container with only one field is expected
Returns:: field
Return type:: Field

Examples

>>> from ansys.dpf import core as dpf

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

>>> # Make input connections
>>> my_field = dpf.Field()
>>> op.inputs.field.connect(my_field)

>>> # Instantiate operator and connect inputs in one line
>>> op = dpf.operators.math.exponential(
...     field=my_field,
... )

>>> # 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.exponential import exponential

Property detail#

property exponential.inputs: InputsExponential#

Enables to connect inputs to the operator

Returns:: An instance of InputsExponential.
Return type:: inputs

property exponential.outputs: OutputsExponential#

Enables to get outputs of the operator by evaluating it

Returns:: An instance of OutputsExponential.
Return type:: outputs

Method detail#

static exponential.default_config(server: ansys.dpf.core.server_types.AnyServerType = None) → ansys.dpf.core.config.Config#