HistoryDateTimeView
#
Bases: object
A lazy view over node values
__eq__(value)
#
Return self==value.
__ge__(value)
#
Return self>=value.
__getitem__(key)
#
Return self[key].
__gt__(value)
#
Return self>value.
__iter__()
#
Implement iter(self).
__le__(value)
#
Return self<=value.
__len__()
#
Return len(self).
__lt__(value)
#
Return self<value.
__ne__(value)
#
Return self!=value.
__repr__()
#
Return repr(self).
arrow_compute()
#
Compute all values and return the result as a OutputTypedNodeState
Returns:
| Type | Description |
|---|---|
NodeStateHistoryDateTime
|
the computed |
collect()
#
Compute all values and return the result as a list
Returns:
| Type | Description |
|---|---|
list[HistoryDateTime]
|
all values as a list |
compute()
#
Compute all values and return the result as a node view
Returns:
| Type | Description |
|---|---|
NodeStateHistoryDateTime
|
the computed |
get(node, default=None)
#
Get value for node
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
node
|
NodeInput
|
the node |
required |
default
|
Optional[HistoryDateTime]
|
the default value. Defaults to None. |
None
|
Returns:
| Type | Description |
|---|---|
Optional[HistoryDateTime]
|
the value for the node or the default value |
items()
#
Iterate over items
Returns:
| Type | Description |
|---|---|
Iterator[Tuple[Node, HistoryDateTime]]
|
Iterator over items |
sorted_by_id()
#
to_df()
#
Convert results to pandas DataFrame
The DataFrame has two columns, "node" with the node ids and "value" with the corresponding values.
Returns:
| Type | Description |
|---|---|
DataFrame
|
the pandas DataFrame |