import ch.psi.pshell.epics.ChannelDouble as ChannelDouble A1 = ChannelDouble("BPM-X", "S10MA01-DBPM060:X-REF-FB ") S1 = ChannelDouble("LLM1", "S10CB09-DLLM110:CH7_LOSS-MPS_REL_L1") S2 = ChannelDouble("LLM2", "S10CB09-DLLM110:CH8_LOSS-MPS_REL_L1") S3 = ChannelDouble("BLM", "S20CB02-DBLM435:B1_LOSS_MPS_REL_L1") S4 = ChannelDouble("DRPS", "SGE-EDRPS01-DU0601:DOSE-REL-OP") S5 = ChannelDouble("CDR", "S10MA01-DCDR080:AL1-B1") A1.initialize() S1.initialize() S2.initialize() S3.initialize() S4.initialize() S5.initialize() A1_init = A1.read() A1i = -1.0 A1f = 1.0 step = 21 lat = 0.11 nav = 10 plt = plot(None, title="Output")[0] plt.clear() plt.setStyle(plt.Style.ErrorY) plt.addSeries(LinePlotErrorSeries("Sensor1", Color.red)) def after_sample(record, scan): plt.getSeries(0).appendData(record.positions[0], record.readables[0].mean, record.readables[0].stdev) try: S1_averager = create_averager(S1, nav, lat) S2_averager = create_averager(S2, nav, lat) S2_averager.monitored=True S3_averager = create_averager(S3, nav, lat) S3_averager.monitored=True S4_averager = create_averager(S4, nav, lat) S4_averager.monitored=True S5_averager = create_averager(S5, nav, lat) S5_averager.monitored=True A1.write(A1i) time.sleep(1.0) r = lscan(A1, (S1_averager, S2_averager, S3_averager, S4_averager, S5_averager), A1i, A1f, step, latency=0.5, after_read = after_sample) Act1 = r.getPositions(0) S1mean = [val.mean for val in r.getReadable(0)] S1rms = [val.stdev for val in r.getReadable(0)] S2mean = [val.mean for val in r.getReadable(1)] S2rms = [val.stdev for val in r.getReadable(1)] S3mean = [val.mean for val in r.getReadable(2)] S3rms = [val.stdev for val in r.getReadable(2)] S4mean = [val.mean for val in r.getReadable(3)] S4rms = [val.stdev for val in r.getReadable(3)] S5mean = [val.mean for val in r.getReadable(4)] S5rms = [val.stdev for val in r.getReadable(4)] finally: A1.write(A1_init) A1.close() S1.close() S2.close() S3.close() S4.close() S5.close()