data_for_fitting = parse(datafilename,outputs) voltages = np.linspace(minV, maxV, N) #calib.datafilename = data_for_fitting calib.fit(heater_index, voltages, data_for_fitting, graph = True) if __name__ == '__main__': reck_heaters = heaters(port = 'COM10') reck_calib = Calibrate() #raw_input() #zero everything #voltages = np.zeores([25]) reck_heaters.zero() #set bias bias = 1 reck_heaters.send_one_voltage(2, bias) #set Grounds, LED reck_heaters.send_one_voltage(0, 0) reck_heaters.send_one_voltage(1, 0) reck_heaters.send_one_voltage(4, 0) reck_heaters.send_one_voltage(22, 0)
datafilename = take_fringe(reck_heaters, heater_index) data_for_fitting = load_data(datafilename,outputs) calib.datafilename = data_for_fitting calib.fit(heatername) if __name__ == '__main__': reck_heaters = heaters(port = 'COM10') reck_calib = Calibrate() #zero everything voltages = np.zeores([25]) reck_heaters.send_voltages(voltages) #set bias bias = 1 reck_heaters.send_one_voltage(2, bias) #reck_heaters.send_one_voltage(0, 0) #reck_heaters.send_one_voltage(1, 0) #reck_heaters.send_one_voltage(4, 0) #reck_heaters.send_one_voltage(21, 0)
int_time, metadata) elif counting == 'pm': datafilename = pm_take_fringe(reck_heaters, heater_index, minV, maxV, N, int_time, metadata) data_for_fitting = parse(datafilename, outputs) voltages = np.linspace(minV, maxV, N) #calib.datafilename = data_for_fitting calib.fit(heater_index, voltages, data_for_fitting, graph=True) if __name__ == '__main__': reck_heaters = heaters(port='COM10') reck_calib = Calibrate() #raw_input() #zero everything #voltages = np.zeores([25]) reck_heaters.zero() #set bias bias = 1 reck_heaters.send_one_voltage(2, bias) #set Grounds, LED reck_heaters.send_one_voltage(0, 0) reck_heaters.send_one_voltage(1, 0) reck_heaters.send_one_voltage(4, 0) reck_heaters.send_one_voltage(22, 0)