def get_self_descriptor(cls):
name = 'Example Driver Application - Electricity Map'
desc = 'This is an example driver application.\
This method returns a Descriptor used by the UI on the run\
analysis screen.\
This Electricity Map is similar to Heat Map, however it\
calculates WholeBuildingElectricity'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Rounding Filter'
desc = 'Round the value of a column to a specified number of places.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'All'
desc = 'Aggregate booleans - true if all values are true.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Repeat Previous'
desc = 'Normalize values to a specified time period using the most recent previous value to supply any missing values.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Linear Interpolation'
desc = 'Normalize values to a specified time period using Linear Interpolation to supply missing values.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Average'
desc = 'Aggregate by averaging.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Not All'
desc = 'Aggregate booleans - true if at least one value is false.'
return Descriptor(name=name, description=desc)
def get_self_descriptor(cls):
name = 'Sum'
desc = 'Aggregate by summation.'
return Descriptor(name=name, description=desc)