@@ -2290,37 +2290,37 @@ def FRM(self, node, uncGrp, raw_grps, raw_slices, stats, newWaveBands):
22902290 output [f"{ sensortype .lower ()} Sample" ] = self .interpolateSamples (
22912291 output [f"{ sensortype .lower ()} Sample" ], wvls , newWaveBands )
22922292
2293- if ConfigFile .settings ['bL2UncertaintyBreakdownPlot' ]:
2294- p_unc = UncertaintyGUI (prop ) # initialise plotting obj - punpy MCP as arg
2295- time = node .attributes ['TIME-STAMP' ].split (' ' )[- 2 ] # for labelling
2296- if sensortype .upper () == 'ES' :
2297- p_unc .plot_unc_from_sample_1D (
2298- sample_data5 , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Cosine" , xlim = (400 , 800 )
2299- )
2300- else :
2301- p_unc .plot_unc_from_sample_1D (
2302- sample_pol_mesure , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = "Polarisation" , xlim = (400 , 800 )
2303- )
2304- p_unc .plot_unc_from_sample_1D (
2305- sample_data4 , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Thermal" , xlim = (400 , 800 )
2306- )
2307- p_unc .plot_unc_from_sample_1D (
2308- sample_data3 , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Calibration" , xlim = (400 , 800 )
2309- )
2310- p_unc .plot_unc_from_sample_1D (
2311- sample_data2 , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Straylight" , xlim = (400 , 800 )
2312- )
2313- p_unc .plot_unc_from_sample_1D (
2314- sample_data1 , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Nlin" , xlim = (400 , 800 )
2315- )
2316- p_unc .plot_unc_from_sample_1D (
2317- sample_dark_corr_data , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Dark_Corrected" , xlim = (400 , 800 ),
2318- save = {
2319- "cal_type" : node .attributes ["CAL_TYPE" ],
2320- "time" : node .attributes ['TIME-STAMP' ],
2321- "instrument" : "SeaBird"
2322- }
2323- )
2293+ # if ConfigFile.settings['bL2UncertaintyBreakdownPlot']:
2294+ # p_unc = UncertaintyGUI(prop) # initialise plotting obj - punpy MCP as arg
2295+ # time = node.attributes['TIME-STAMP'].split(' ')[-2] # for labelling
2296+ # if sensortype.upper() == 'ES':
2297+ # p_unc.plot_unc_from_sample_1D(
2298+ # sample_data5, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Cosine", xlim=(400, 800)
2299+ # )
2300+ # else:
2301+ # p_unc.plot_unc_from_sample_1D(
2302+ # sample_pol_mesure, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name="Polarisation", xlim=(400, 800)
2303+ # )
2304+ # p_unc.plot_unc_from_sample_1D(
2305+ # sample_data4, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Thermal", xlim=(400, 800)
2306+ # )
2307+ # p_unc.plot_unc_from_sample_1D(
2308+ # sample_data3, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Calibration", xlim=(400, 800)
2309+ # )
2310+ # p_unc.plot_unc_from_sample_1D(
2311+ # sample_data2, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Straylight", xlim=(400, 800)
2312+ # )
2313+ # p_unc.plot_unc_from_sample_1D(
2314+ # sample_data1, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Nlin", xlim=(400, 800)
2315+ # )
2316+ # p_unc.plot_unc_from_sample_1D(
2317+ # sample_dark_corr_data, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Dark_Corrected", xlim=(400, 800),
2318+ # save={
2319+ # "cal_type": node.attributes["CAL_TYPE"],
2320+ # "time": node.attributes['TIME-STAMP'],
2321+ # "instrument": "SeaBird"
2322+ # }
2323+ # )
23242324
23252325 return output
23262326
@@ -2754,37 +2754,37 @@ def FRM(self, node, uncGrp, raw_grps, raw_slices, stats, newWaveBands):
27542754 output [f"{ sensortype .lower ()} Sample" ] = self .interpolateSamples (
27552755 output [f"{ sensortype .lower ()} Sample" ], wvls , newWaveBands )
27562756
2757- if ConfigFile .settings ['bL2UncertaintyBreakdownPlot' ]:
2758- p_unc = UncertaintyGUI (prop ) # initialise plotting obj - punpy MCP as arg
2759- time = ' ' .join (node .attributes ['TIME-STAMP' ][0 :- 1 ].split ('T' )) # time string for labelling
2760- if sensortype .upper () == 'ES' :
2761- p_unc .plot_unc_from_sample_1D (
2762- sample_cos_corr_mesure , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Cosine" , xlim = (400 , 800 )
2763- )
2764- else :
2765- p_unc .plot_unc_from_sample_1D (
2766- sample_pol_mesure , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = "Polarisation" , xlim = (400 , 800 )
2767- )
2768- p_unc .plot_unc_from_sample_1D (
2769- sample_thermal_corr_mesure , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Thermal" , xlim = (400 , 800 )
2770- )
2771- p_unc .plot_unc_from_sample_1D (
2772- sample_calibrated_mesure , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Calibration" , xlim = (400 , 800 )
2773- )
2774- p_unc .plot_unc_from_sample_1D (
2775- sample_straylight_corr_mesure , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Straylight" , xlim = (400 , 800 )
2776- )
2777- p_unc .plot_unc_from_sample_1D (
2778- sample_linear_corr_mesure , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Nlin" , xlim = (400 , 800 )
2779- )
2780- p_unc .plot_unc_from_sample_1D (
2781- sample_offset_corrected_mesure , radcal_wvl , fig_name = f"breakdown_{ sensortype } _{ time } " , name = f"Dark_Corrected" , xlim = (400 , 800 ),
2782- save = {
2783- "cal_type" : node .attributes ["CAL_TYPE" ],
2784- "time" : node .attributes ['TIME-STAMP' ],
2785- "instrument" : "TriOS"
2786- }
2787- )
2757+ # if ConfigFile.settings['bL2UncertaintyBreakdownPlot']:
2758+ # p_unc = UncertaintyGUI(prop) # initialise plotting obj - punpy MCP as arg
2759+ # time = ' '.join(node.attributes['TIME-STAMP'][0:-1].split('T')) # time string for labelling
2760+ # if sensortype.upper() == 'ES':
2761+ # p_unc.plot_unc_from_sample_1D(
2762+ # sample_cos_corr_mesure, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Cosine", xlim=(400, 800)
2763+ # )
2764+ # else:
2765+ # p_unc.plot_unc_from_sample_1D(
2766+ # sample_pol_mesure, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name="Polarisation", xlim=(400, 800)
2767+ # )
2768+ # p_unc.plot_unc_from_sample_1D(
2769+ # sample_thermal_corr_mesure, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Thermal", xlim=(400, 800)
2770+ # )
2771+ # p_unc.plot_unc_from_sample_1D(
2772+ # sample_calibrated_mesure, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Calibration", xlim=(400, 800)
2773+ # )
2774+ # p_unc.plot_unc_from_sample_1D(
2775+ # sample_straylight_corr_mesure, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Straylight", xlim=(400, 800)
2776+ # )
2777+ # p_unc.plot_unc_from_sample_1D(
2778+ # sample_linear_corr_mesure, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Nlin", xlim=(400, 800)
2779+ # )
2780+ # p_unc.plot_unc_from_sample_1D(
2781+ # sample_offset_corrected_mesure, radcal_wvl, fig_name=f"breakdown_{sensortype}_{time}", name=f"Dark_Corrected", xlim=(400, 800),
2782+ # save={
2783+ # "cal_type": node.attributes["CAL_TYPE"],
2784+ # "time": node.attributes['TIME-STAMP'],
2785+ # "instrument": "TriOS"
2786+ # }
2787+ # )
27882788
27892789 return output # return products as dictionary to be appended to xSlice
27902790
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