change_attributes

Module: missions.nodes.type_manipulation.change_attributes

Change attributes of incoming data

Inheritance diagram for pySPACE.missions.nodes.type_manipulation.change_attributes:

ChangeTimeSeriesAttributesNode

class pySPACE.missions.nodes.type_manipulation.change_attributes.ChangeTimeSeriesAttributesNode(change, tolerance=1000, **kwargs)

Bases: pySPACE.missions.nodes.base_node.BaseNode

Change the attributes of incoming TimeSeries

For instance when several data sets are used as input data, but the start and end time of the time series objects should remain unique, then this node can be used to adjust the start and end time.

Parameters

change:

String. Specifies which attribute to change. At the moment only ‘time’ is implemented.

• time:

  Start time, end time and tag are changed to keep this attributes unique through the whole processing

tolerance:

Only needed if the change parameter is set to ‘time’. If for the incoming time series object ts holds

ts.start_time + tolerance < ts_last.start_time

(which means a new set started), than attributes of ts associated with time are changed. The tolerance parameter is important since it is not guaranteed that incoming objects are sorted in time. Check your windower spec file to determine if there are overlapping window definitions that may be result in not-time-sorted order.

(Optional, default: 1000)

Exemplary Call

-
    node : Change_Time_Series_Attributes
    parameters :
        change : "time"
        tolerance: 4000 # sliding window range

Author:

Anett Seeland (anett.seeland@dfki.de)

Created:

2012/02/21

POSSIBLE NODE NAMES:  

• Change_Time_Series_Attributes
• ChangeTimeSeriesAttributes
• ChangeTimeSeriesAttributesNode

POSSIBLE INPUT TYPES:  

• TimeSeries

Class Components Summary

_execute(data)	Change data attributes if change constraints are true.
get_output_type(input_type[, as_string])
input_types

input_types = ['TimeSeries']

__init__(change, tolerance=1000, **kwargs)

_execute(data)

Change data attributes if change constraints are true.

get_output_type(input_type, as_string=True)