measurement_generator.py

import math
import pandas as pd
import numpy as np

def measurementfunction(columns=['Input', 'Output']):
    # Inital call of next() runs the init/setup
    print('Init/Setup of Instrument')
    buffer = {}
    # A initial call of next(generatorobject) will get to this point
    x = yield  # Where first input is outside the while loop
    
    # A subsequent call to the generator.send() allows input of infomation to the generator
    # The output of the .send() will be the result of the yield statement
    while x is not math.inf:
        xcomputed = x**2
        buffer[x] = xcomputed
        x = yield f'For {x} Result of Measurement Process: {xcomputed}'
    yield pd.DataFrame(buffer.items(), columns=columns)

gen = measurementfunction(columns=['Frequency (Hz)', 'Result (Watt)'])


next(gen)
# Init/Setup of Instrument

gen.send(5)
# Result of Measurement Process: 25

gen.send(10)
# Result of Measurement Process: 100


gen.send(1000)
# Result of Measurement Process: 100

df = gen.send(math.inf)

• Collect inputs and measurements
• return DataFrame of results
• where do limits come into this
• How to deal with multiple inputs
• How to deal with multiple outputs