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DPF Framework 2026 R1

serialization:field to csv

Last update: 31.07.2026

Version: 0.0.0

Description

Exports a field or a fields container into a csv file. Currently only homogenous Fields Definition of Fields Container are supported.

Inputs

This table lists the input pins for this operator. Input pins define the data that the operator requires to perform its operation. Some inputs are required, while others are optional and provide additional configuration. Each parameter is detailed in the sections that follow the table.

Pin number Name Status Expected type(s)
0 field_or_fields_container Required fields_container, field
1 file_path Required string
2 storage_type int32

field_or_fields_container (Pin 0)

field_or_fields_container

file_path (Pin 1)

  • Required: Yes
  • Expected type(s): string

storage_type (Pin 2)

  • Required: No
  • Expected type(s): int32

storage type : if matrices (without any particularity) are included in the fields container, the storage format can be chosen. 0 : flat/line format, 1 : ranked format. If 1 is chosen, the csv can not be read by "csv to field" operator anymore. Default : 0.

Outputs

This table lists the output pins for this operator. Output pins provide the results of the operator's computation and can be connected to inputs of other operators or retrieved for further processing. Each output is detailed in the sections that follow the table.

Pin number Name Expected type(s)

Configurations

This operator supports configuration options that modify its behavior.

mutex

  • Expected type(s): bool
  • Default value: false

If this option is set to true, the shared memory is prevented from being simultaneously accessed by multiple threads.

Scripting

This operator can be accessed through scripting interfaces using these identifiers.

Category: serialization

Plugin: csv

Scripting name: None

Full name: None

Internal name: field_to_csv

License: any_dpf_supported_increments

Examples

These examples demonstrate how to use this operator in different programming environments. Each example shows how to instantiate the operator, connect the required inputs, and retrieve the output.

C++
#include "dpf_api.h"

ansys::dpf::Operator op("field_to_csv"); // operator instantiation
op.connect(0, my_field_or_fields_container);
op.connect(1, my_file_path);
op.connect(2, my_storage_type);
CPython
import ansys.dpf.core as dpf

op = dpf.operators.serialization.None() # operator instantiation
op.inputs.field_or_fields_container.connect(my_field_or_fields_container)
op.inputs.file_path.connect(my_file_path)
op.inputs.storage_type.connect(my_storage_type)
IPython
import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.serialization.None() # operator instantiation
op.inputs.field_or_fields_container.Connect(my_field_or_fields_container)
op.inputs.file_path.Connect(my_file_path)
op.inputs.storage_type.Connect(my_storage_type)

Changelog

  • Version 0.0.0: Initial release.

Connect with Ansys