Average

SCPI Commands :

READ:NRSub:MEASurement<Instance>:MEValuation:PDYNamics:AVERage
FETCh:NRSub:MEASurement<Instance>:MEValuation:PDYNamics:AVERage
CALCulate:NRSub:MEASurement<Instance>:MEValuation:PDYNamics:AVERage
class AverageCls[source]

Average commands group definition. 3 total commands, 0 Subgroups, 3 group commands

class CalculateStruct[source]

Response structure. Fields:

  • Reliability: int: No parameter help available

  • Out_Of_Tolerance: int: No parameter help available

  • Off_Power_Before: float or bool: No parameter help available

  • On_Power_Rms: float or bool: No parameter help available

  • On_Power_Peak: float or bool: No parameter help available

  • Off_Power_After: float or bool: No parameter help available

class ResultData[source]

Response structure. Fields:

  • Reliability: int: decimal ‘Reliability indicator’

  • Out_Of_Tolerance: int: decimal Out of tolerance result, i.e. percentage of measurement intervals of the statistic count for power dynamics measurements exceeding the specified power limits. Unit: %

  • Off_Power_Before: float: float Unit: dBm

  • On_Power_Rms: float: float Unit: dBm

  • On_Power_Peak: float: float Unit: dBm

  • Off_Power_After: float: float Unit: dBm

calculate() → CalculateStruct[source]
# SCPI: CALCulate:NRSub:MEASurement<Instance>:MEValuation:PDYNamics:AVERage
value: CalculateStruct = driver.nrSubMeas.multiEval.pdynamics.average.calculate()

No command help available

return:

structure: for return value, see the help for CalculateStruct structure arguments.

fetch() → ResultData[source]
# SCPI: FETCh:NRSub:MEASurement<Instance>:MEValuation:PDYNamics:AVERage
value: ResultData = driver.nrSubMeas.multiEval.pdynamics.average.fetch()

Return the current, average, minimum, maximum and standard deviation single-value results of the power dynamics measurement.

return:

structure: for return value, see the help for ResultData structure arguments.

read() → ResultData[source]
# SCPI: READ:NRSub:MEASurement<Instance>:MEValuation:PDYNamics:AVERage
value: ResultData = driver.nrSubMeas.multiEval.pdynamics.average.read()

Return the current, average, minimum, maximum and standard deviation single-value results of the power dynamics measurement.

return:

structure: for return value, see the help for ResultData structure arguments.