FloatCollection#

class ansys.dpf.core.collection_base.FloatCollection(list=None, server=None, collection=None)#

Bases: CollectionBase[float]

Creates a collection of floats (double64) with a list.

The collection of integral is the equivalent of an array of data sent server side. It can be used to efficiently stream large data to the server.

Parameters:

list (list[float], numpy.array) – list to transfer server side

Notes

Used by default by the 'Operator' and the``’Workflow’`` when a list is connected or returned.

Overview#

create_subtype

Create a sub type.

get_integral_entries

Get integral entries.

set_labels

Set labels for scoping the collection.

add_label

Add the requested label to scope the collection.

has_label

Check if a collection has a specified label.

get_entries_indices

Retrieve the indices of the entries corresponding a requested label space .

get_label_space

Retrieve the label space of an entry at a requested index.

get_available_ids_for_label

Retrieve the IDs assigned to an input label.

get_label_scoping

Retrieve the scoping for an input label.

set_support

Set the support of the collection for a given label.

get_support

Get the support of the collection for a given label.

name

Name of the Collection.

labels

Provides for getting scoping labels as a property.

integral_collection

Create a collection of integral type with a list.

__getitem__

Retrieve the entry at a requested index value.

__str__

Describe the entity.

__len__

Retrieve the number of entries.

__del__

Delete the entry.

__iter__

Provide for looping through entry items.

Import detail#

from ansys.dpf.core.collection_base import FloatCollection

Property detail#

property FloatCollection.name#

Name of the Collection.

Notes

Available starting with DPF 2024 R2 pre0.

Return type:

str

property FloatCollection.labels: List[str]#

Provides for getting scoping labels as a property.

Returns:

List of labels scoping the collection.

Return type:

List[str]

Attribute detail#

FloatCollection.entries_type#
FloatCollection.owned = False#

Method detail#

FloatCollection.create_subtype(obj_by_copy)#

Create a sub type.

FloatCollection.get_integral_entries()#

Get integral entries.

static FloatCollection.integral_collection(inpt, server: ansys.dpf.core.server_types.BaseServer = None)#

Create a collection of integral type with a list.

The collection of integral is the equivalent of an array of data sent server side. It can be used to efficiently stream large data to the server.

Parameters:

inpt (list[float], list[int], numpy.array) – list to transfer server side

Return type:

IntegralCollection

Notes

Used by default by the 'Operator' and the``’Workflow’`` when a list is connected or returned.

FloatCollection.set_labels(labels)#

Set labels for scoping the collection.

Parameters:

labels (list[str], optional) – Labels to scope entries to. For example, ["time", "complex"].

FloatCollection.add_label(label, default_value=None)#

Add the requested label to scope the collection.

Parameters:
  • label (str) – Labels to scope the entries to. For example, "time".

  • default_value (int, optional) – Default value for existing fields in the collection. The default is None.

Examples

>>> from ansys.dpf import core as dpf
>>> coll = dpf.FieldsContainer()
>>> coll.add_label('time')
FloatCollection.has_label(label) bool#

Check if a collection has a specified label.

Parameters:

label (str) – Label to search for. For example, "time".

Returns:

True when successful, False when failed.

Return type:

bool

Examples

>>> from ansys.dpf import core as dpf
>>> coll = dpf.FieldsContainer()
>>> coll.add_label('time')
>>> coll.has_label('time')
True
>>> coll.has_label('complex')
False
FloatCollection.get_entries_indices(label_space)#

Retrieve the indices of the entries corresponding a requested label space .

Notes

Available starting with DPF 2025R1.

Parameters:

label_space (dict[str,int]) – Label space or index. For example, {"time": 1, "complex": 0} or the index of the field.

Returns:

indices – Indices of the entries corresponding to the request.

Return type:

list[int], list[Field], list[MeshedRegion]

FloatCollection.get_label_space(index)#

Retrieve the label space of an entry at a requested index.

Parameters:

index (int) – Index of the entry.

Returns:

label_space – Scoping of the requested entry. For example, {"time": 1, "complex": 0}.

Return type:

dict(str:int)

FloatCollection.get_available_ids_for_label(label='time')#

Retrieve the IDs assigned to an input label.

Parameters:

label (str) – Name of the input label. The default is "time".

Returns:

ids – List of IDs assigned to the input label.

Return type:

list[int]

FloatCollection.get_label_scoping(label='time')#

Retrieve the scoping for an input label.

This method allows you to retrieve a list of IDs for a given input label in the collection. For example, if the label el_type exists in the collection, you can use the get_lable_scoping method to retrieve a list of IDS with this label. You can then use these IDs to request a given entity inside the collection.

Parameters:

label (str) – Name of the input label.

Returns:

scoping – IDs scoped to the input label.

Return type:

Scoping

FloatCollection.__getitem__(index)#

Retrieve the entry at a requested index value.

Parameters:

index (int) – Index value.

Returns:

entry – Entry at the index value.

Return type:

Field , Scoping

FloatCollection.set_support(label: str, support: ansys.dpf.core.support.Support) None#

Set the support of the collection for a given label.

Notes

Available starting with DPF 2023 R1.

FloatCollection.get_support(label: str) ansys.dpf.core.support.Support#

Get the support of the collection for a given label.

Notes

Available starting with DPF 2023 R1.

FloatCollection.__str__()#

Describe the entity.

Returns:

description – Description of the entity.

Return type:

str

FloatCollection.__len__()#

Retrieve the number of entries.

FloatCollection.__del__()#

Delete the entry.

FloatCollection.__iter__()#

Provide for looping through entry items.