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DateTime,TEMP,CAL RREF,CAL VREF,G10K,G100K,G1V0,G0V1,OCOMP1K,OCOMP10K,ACALTEMP,CALTEMP,G1mA,G10V
02-05-24 10:14:42,40.1,40.0, 39.9962225E+03, 7.08619112E+00, 1.00330364E+00, 1.00305375E+00, 987.036522E-03, 987.491018E-03, 1.00270185E+00, 1.00330355E+00, 39.9812629E+00, 34.5509247E+00, 987.149290E-03
02-05-24 11:14:43,39.5,39.4, 39.9962225E+03, 7.08619112E+00, 1.00330259E+00, 1.00305304E+00, 987.036309E-03, 987.490990E-03, 1.00270083E+00, 1.00330251E+00, 39.3900940E+00, 34.5509247E+00, 987.148432E-03
02-05-24 12:14:43,38.7,38.6, 39.9962225E+03, 7.08619112E+00, 1.00330211E+00, 1.00305207E+00, 987.036651E-03, 987.491398E-03, 1.00270073E+00, 1.00330203E+00, 38.6494401E+00, 34.5509247E+00, 987.146593E-03
02-05-24 13:14:43,38.2,38.3, 39.9962225E+03, 7.08619112E+00, 1.00330160E+00, 1.00305174E+00, 987.036164E-03, 987.490751E-03, 1.00269941E+00, 1.00330152E+00, 38.2977734E+00, 34.5509247E+00, 987.146757E-03
02-05-24 14:14:42,38.3,38.4, 39.9962225E+03, 7.08619112E+00, 1.00330222E+00, 1.00305227E+00, 987.036620E-03, 987.491295E-03, 1.00270040E+00, 1.00330213E+00, 38.3767076E+00, 34.5509247E+00, 987.146609E-03
02-05-24 15:14:42,38.2,38.2, 39.9962225E+03, 7.08619112E+00, 1.00330201E+00, 1.00305187E+00, 987.036496E-03, 987.490952E-03, 1.00269991E+00, 1.00330193E+00, 38.2353289E+00, 34.5509247E+00, 987.145982E-03
02-05-24 16:14:42,38.0,37.9, 39.9962225E+03, 7.08619112E+00, 1.00330165E+00, 1.00305171E+00, 987.036507E-03, 987.491180E-03, 1.00269966E+00, 1.00330156E+00, 37.9523180E+00, 34.5509247E+00, 987.146220E-03
02-05-24 17:14:42,37.6,37.9, 39.9962225E+03, 7.08619112E+00, 1.00330159E+00, 1.00305166E+00, 987.036531E-03, 987.491009E-03, 1.00269980E+00, 1.00330151E+00, 37.8606010E+00, 34.5509247E+00, 987.145243E-03
02-05-24 18:14:43,38.2,38.3, 39.9962225E+03, 7.08619112E+00, 1.00330251E+00, 1.00305268E+00, 987.036589E-03, 987.491168E-03, 1.00270013E+00, 1.00330243E+00, 38.3307608E+00, 34.5509247E+00, 987.146800E-03
02-05-24 19:14:43,38.3,38.3, 39.9962225E+03, 7.08619112E+00, 1.00330185E+00, 1.00305254E+00, 987.036246E-03, 987.490934E-03, 1.00269925E+00, 1.00330176E+00, 38.3405796E+00, 34.5509247E+00, 987.147040E-03
02-05-24 20:14:43,38.5,38.7, 39.9962225E+03, 7.08619112E+00, 1.00330286E+00, 1.00305329E+00, 987.036562E-03, 987.491091E-03, 1.00270047E+00, 1.00330277E+00, 38.6429724E+00, 34.5509247E+00, 987.147465E-03
02-05-24 21:14:42,39.3,39.5, 39.9962225E+03, 7.08619112E+00, 1.00330394E+00, 1.00305477E+00, 987.036380E-03, 987.491344E-03, 1.00270122E+00, 1.00330386E+00, 39.4945407E+00, 34.5509247E+00, 987.149156E-03
02-05-24 22:14:42,39.6,39.6, 39.9962225E+03, 7.08619112E+00, 1.00330390E+00, 1.00305463E+00, 987.036358E-03, 987.491654E-03, 1.00270136E+00, 1.00330382E+00, 39.5797788E+00, 34.5509247E+00, 987.149722E-03
02-05-24 23:14:42,38.9,38.7, 39.9962225E+03, 7.08619112E+00, 1.00330264E+00, 1.00305328E+00, 987.036208E-03, 987.490875E-03, 1.00270026E+00, 1.00330255E+00, 38.7627188E+00, 34.5509247E+00, 987.147960E-03
03-05-24 00:14:42,38.3,38.2, 39.9962225E+03, 7.08619112E+00, 1.00330181E+00, 1.00305274E+00, 987.035997E-03, 987.491087E-03, 1.00269886E+00, 1.00330173E+00, 38.2317397E+00, 34.5509247E+00, 987.147524E-03
03-05-24 01:14:43,37.3,37.1, 39.9962225E+03, 7.08619112E+00, 1.00330088E+00, 1.00305113E+00, 987.036291E-03, 987.491235E-03, 1.00269816E+00, 1.00330080E+00, 37.1754520E+00, 34.5509247E+00, 987.145626E-03
03-05-24 02:14:42,36.5,36.4, 39.9962225E+03, 7.08619112E+00, 1.00329992E+00, 1.00305051E+00, 987.036113E-03, 987.490139E-03, 1.00269672E+00, 1.00329984E+00, 36.4033637E+00, 34.5509247E+00, 987.143797E-03
03-05-24 03:14:42,36.0,35.9, 39.9962225E+03, 7.08619112E+00, 1.00329976E+00, 1.00305009E+00, 987.036279E-03, 987.490257E-03, 1.00269639E+00, 1.00329968E+00, 35.9549189E+00, 34.5509247E+00, 987.142727E-03
03-05-24 04:14:42,35.6,35.6, 39.9962225E+03, 7.08619112E+00, 1.00329937E+00, 1.00304991E+00, 987.036218E-03, 987.490170E-03, 1.00269567E+00, 1.00329929E+00, 35.5763076E+00, 34.5509247E+00, 987.142347E-03
03-05-24 05:14:43,35.2,35.2, 39.9962225E+03, 7.08619112E+00, 1.00329915E+00, 1.00304940E+00, 987.036332E-03, 987.489556E-03, 1.00269555E+00, 1.00329907E+00, 35.2263438E+00, 34.5509247E+00, 987.141203E-03
03-05-24 22:14:43,33.3,34.4, 39.9962225E+03, 7.08619112E+00, 1.00330175E+00, 1.00305188E+00, 987.037421E-03, 987.491420E-03, 1.00269546E+00, 1.00330168E+00, 34.2636294E+00, 34.5509247E+00, 987.131240E-03
03-05-24 23:14:42,36.0,36.3, 39.9962225E+03, 7.08619112E+00, 1.00330269E+00, 1.00305326E+00, 987.036669E-03, 987.491160E-03, 1.00269710E+00, 1.00330261E+00, 36.2820208E+00, 34.5509247E+00, 987.137671E-03
04-05-24 00:14:42,36.8,36.9, 39.9962225E+03, 7.08619112E+00, 1.00330286E+00, 1.00305378E+00, 987.036560E-03, 987.491139E-03, 1.00269768E+00, 1.00330278E+00, 36.8925574E+00, 34.5509247E+00, 987.140285E-03
04-05-24 01:14:42,37.0,37.1, 39.9962225E+03, 7.08619112E+00, 1.00330283E+00, 1.00305369E+00, 987.036106E-03, 987.490616E-03, 1.00269710E+00, 1.00330275E+00, 37.0948326E+00, 34.5509247E+00, 987.141442E-03
04-05-24 02:14:43,37.2,37.3, 39.9962225E+03, 7.08619112E+00, 1.00330284E+00, 1.00305400E+00, 987.036019E-03, 987.490833E-03, 1.00269714E+00, 1.00330276E+00, 37.2822479E+00, 34.5509247E+00, 987.142633E-03
04-05-24 03:14:43,37.2,37.2, 39.9962225E+03, 7.08619112E+00, 1.00330278E+00, 1.00305361E+00, 987.036020E-03, 987.490804E-03, 1.00269689E+00, 1.00330270E+00, 37.2320546E+00, 34.5509247E+00, 987.143001E-03
04-05-24 04:14:42,37.1,37.2, 39.9962225E+03, 7.08619112E+00, 1.00330276E+00, 1.00305350E+00, 987.036080E-03, 987.490868E-03, 1.00269733E+00, 1.00330268E+00, 37.1612287E+00, 34.5509247E+00, 987.142162E-03
04-05-24 05:14:42,37.1,37.1, 39.9962225E+03, 7.08619112E+00, 1.00330279E+00, 1.00305354E+00, 987.036153E-03, 987.490692E-03, 1.00269713E+00, 1.00330271E+00, 37.1496964E+00, 34.5509247E+00, 987.142532E-03
04-05-24 06:14:42,37.0,37.0, 39.9962225E+03, 7.08619112E+00, 1.00330237E+00, 1.00305328E+00, 987.035880E-03, 987.490318E-03, 1.00269665E+00, 1.00330229E+00, 36.9973296E+00, 34.5509247E+00, 987.142581E-03
04-05-24 07:14:42,36.9,37.0, 39.9962225E+03, 7.08619112E+00, 1.00330285E+00, 1.00305330E+00, 987.036303E-03, 987.490729E-03, 1.00269743E+00, 1.00330277E+00, 36.9673264E+00, 34.5509247E+00, 987.142328E-03
04-05-24 08:14:43,36.8,36.9, 39.9962225E+03, 7.08619112E+00, 1.00330236E+00, 1.00305297E+00, 987.035942E-03, 987.490305E-03, 1.00269648E+00, 1.00330229E+00, 36.8701920E+00, 34.5509247E+00, 987.142082E-03
04-05-24 09:14:43,36.9,37.0, 39.9962225E+03, 7.08619112E+00, 1.00330232E+00, 1.00305332E+00, 987.035913E-03, 987.490304E-03, 1.00269648E+00, 1.00330224E+00, 36.9957024E+00, 34.5509247E+00, 987.142752E-03
04-05-24 10:14:43,36.6,36.6, 39.9962225E+03, 7.08619112E+00, 1.00330173E+00, 1.00305238E+00, 987.035794E-03, 987.489917E-03, 1.00269595E+00, 1.00330165E+00, 36.5649214E+00, 34.5509247E+00, 987.141864E-03
1 DateTime TEMP CAL RREF CAL VREF G10K G100K G1V0 G0V1 OCOMP1K OCOMP10K ACALTEMP CALTEMP G1mA G10V
2 02-05-24 10:14:42 40.1 40.0 39.9962225E+03 7.08619112E+00 1.00330364E+00 1.00305375E+00 987.036522E-03 987.491018E-03 1.00270185E+00 1.00330355E+00 39.9812629E+00 34.5509247E+00 987.149290E-03
3 02-05-24 11:14:43 39.5 39.4 39.9962225E+03 7.08619112E+00 1.00330259E+00 1.00305304E+00 987.036309E-03 987.490990E-03 1.00270083E+00 1.00330251E+00 39.3900940E+00 34.5509247E+00 987.148432E-03
4 02-05-24 12:14:43 38.7 38.6 39.9962225E+03 7.08619112E+00 1.00330211E+00 1.00305207E+00 987.036651E-03 987.491398E-03 1.00270073E+00 1.00330203E+00 38.6494401E+00 34.5509247E+00 987.146593E-03
5 02-05-24 13:14:43 38.2 38.3 39.9962225E+03 7.08619112E+00 1.00330160E+00 1.00305174E+00 987.036164E-03 987.490751E-03 1.00269941E+00 1.00330152E+00 38.2977734E+00 34.5509247E+00 987.146757E-03
6 02-05-24 14:14:42 38.3 38.4 39.9962225E+03 7.08619112E+00 1.00330222E+00 1.00305227E+00 987.036620E-03 987.491295E-03 1.00270040E+00 1.00330213E+00 38.3767076E+00 34.5509247E+00 987.146609E-03
7 02-05-24 15:14:42 38.2 38.2 39.9962225E+03 7.08619112E+00 1.00330201E+00 1.00305187E+00 987.036496E-03 987.490952E-03 1.00269991E+00 1.00330193E+00 38.2353289E+00 34.5509247E+00 987.145982E-03
8 02-05-24 16:14:42 38.0 37.9 39.9962225E+03 7.08619112E+00 1.00330165E+00 1.00305171E+00 987.036507E-03 987.491180E-03 1.00269966E+00 1.00330156E+00 37.9523180E+00 34.5509247E+00 987.146220E-03
9 02-05-24 17:14:42 37.6 37.9 39.9962225E+03 7.08619112E+00 1.00330159E+00 1.00305166E+00 987.036531E-03 987.491009E-03 1.00269980E+00 1.00330151E+00 37.8606010E+00 34.5509247E+00 987.145243E-03
10 02-05-24 18:14:43 38.2 38.3 39.9962225E+03 7.08619112E+00 1.00330251E+00 1.00305268E+00 987.036589E-03 987.491168E-03 1.00270013E+00 1.00330243E+00 38.3307608E+00 34.5509247E+00 987.146800E-03
11 02-05-24 19:14:43 38.3 38.3 39.9962225E+03 7.08619112E+00 1.00330185E+00 1.00305254E+00 987.036246E-03 987.490934E-03 1.00269925E+00 1.00330176E+00 38.3405796E+00 34.5509247E+00 987.147040E-03
12 02-05-24 20:14:43 38.5 38.7 39.9962225E+03 7.08619112E+00 1.00330286E+00 1.00305329E+00 987.036562E-03 987.491091E-03 1.00270047E+00 1.00330277E+00 38.6429724E+00 34.5509247E+00 987.147465E-03
13 02-05-24 21:14:42 39.3 39.5 39.9962225E+03 7.08619112E+00 1.00330394E+00 1.00305477E+00 987.036380E-03 987.491344E-03 1.00270122E+00 1.00330386E+00 39.4945407E+00 34.5509247E+00 987.149156E-03
14 02-05-24 22:14:42 39.6 39.6 39.9962225E+03 7.08619112E+00 1.00330390E+00 1.00305463E+00 987.036358E-03 987.491654E-03 1.00270136E+00 1.00330382E+00 39.5797788E+00 34.5509247E+00 987.149722E-03
15 02-05-24 23:14:42 38.9 38.7 39.9962225E+03 7.08619112E+00 1.00330264E+00 1.00305328E+00 987.036208E-03 987.490875E-03 1.00270026E+00 1.00330255E+00 38.7627188E+00 34.5509247E+00 987.147960E-03
16 03-05-24 00:14:42 38.3 38.2 39.9962225E+03 7.08619112E+00 1.00330181E+00 1.00305274E+00 987.035997E-03 987.491087E-03 1.00269886E+00 1.00330173E+00 38.2317397E+00 34.5509247E+00 987.147524E-03
17 03-05-24 01:14:43 37.3 37.1 39.9962225E+03 7.08619112E+00 1.00330088E+00 1.00305113E+00 987.036291E-03 987.491235E-03 1.00269816E+00 1.00330080E+00 37.1754520E+00 34.5509247E+00 987.145626E-03
18 03-05-24 02:14:42 36.5 36.4 39.9962225E+03 7.08619112E+00 1.00329992E+00 1.00305051E+00 987.036113E-03 987.490139E-03 1.00269672E+00 1.00329984E+00 36.4033637E+00 34.5509247E+00 987.143797E-03
19 03-05-24 03:14:42 36.0 35.9 39.9962225E+03 7.08619112E+00 1.00329976E+00 1.00305009E+00 987.036279E-03 987.490257E-03 1.00269639E+00 1.00329968E+00 35.9549189E+00 34.5509247E+00 987.142727E-03
20 03-05-24 04:14:42 35.6 35.6 39.9962225E+03 7.08619112E+00 1.00329937E+00 1.00304991E+00 987.036218E-03 987.490170E-03 1.00269567E+00 1.00329929E+00 35.5763076E+00 34.5509247E+00 987.142347E-03
21 03-05-24 05:14:43 35.2 35.2 39.9962225E+03 7.08619112E+00 1.00329915E+00 1.00304940E+00 987.036332E-03 987.489556E-03 1.00269555E+00 1.00329907E+00 35.2263438E+00 34.5509247E+00 987.141203E-03
22 03-05-24 22:14:43 33.3 34.4 39.9962225E+03 7.08619112E+00 1.00330175E+00 1.00305188E+00 987.037421E-03 987.491420E-03 1.00269546E+00 1.00330168E+00 34.2636294E+00 34.5509247E+00 987.131240E-03
23 03-05-24 23:14:42 36.0 36.3 39.9962225E+03 7.08619112E+00 1.00330269E+00 1.00305326E+00 987.036669E-03 987.491160E-03 1.00269710E+00 1.00330261E+00 36.2820208E+00 34.5509247E+00 987.137671E-03
24 04-05-24 00:14:42 36.8 36.9 39.9962225E+03 7.08619112E+00 1.00330286E+00 1.00305378E+00 987.036560E-03 987.491139E-03 1.00269768E+00 1.00330278E+00 36.8925574E+00 34.5509247E+00 987.140285E-03
25 04-05-24 01:14:42 37.0 37.1 39.9962225E+03 7.08619112E+00 1.00330283E+00 1.00305369E+00 987.036106E-03 987.490616E-03 1.00269710E+00 1.00330275E+00 37.0948326E+00 34.5509247E+00 987.141442E-03
26 04-05-24 02:14:43 37.2 37.3 39.9962225E+03 7.08619112E+00 1.00330284E+00 1.00305400E+00 987.036019E-03 987.490833E-03 1.00269714E+00 1.00330276E+00 37.2822479E+00 34.5509247E+00 987.142633E-03
27 04-05-24 03:14:43 37.2 37.2 39.9962225E+03 7.08619112E+00 1.00330278E+00 1.00305361E+00 987.036020E-03 987.490804E-03 1.00269689E+00 1.00330270E+00 37.2320546E+00 34.5509247E+00 987.143001E-03
28 04-05-24 04:14:42 37.1 37.2 39.9962225E+03 7.08619112E+00 1.00330276E+00 1.00305350E+00 987.036080E-03 987.490868E-03 1.00269733E+00 1.00330268E+00 37.1612287E+00 34.5509247E+00 987.142162E-03
29 04-05-24 05:14:42 37.1 37.1 39.9962225E+03 7.08619112E+00 1.00330279E+00 1.00305354E+00 987.036153E-03 987.490692E-03 1.00269713E+00 1.00330271E+00 37.1496964E+00 34.5509247E+00 987.142532E-03
30 04-05-24 06:14:42 37.0 37.0 39.9962225E+03 7.08619112E+00 1.00330237E+00 1.00305328E+00 987.035880E-03 987.490318E-03 1.00269665E+00 1.00330229E+00 36.9973296E+00 34.5509247E+00 987.142581E-03
31 04-05-24 07:14:42 36.9 37.0 39.9962225E+03 7.08619112E+00 1.00330285E+00 1.00305330E+00 987.036303E-03 987.490729E-03 1.00269743E+00 1.00330277E+00 36.9673264E+00 34.5509247E+00 987.142328E-03
32 04-05-24 08:14:43 36.8 36.9 39.9962225E+03 7.08619112E+00 1.00330236E+00 1.00305297E+00 987.035942E-03 987.490305E-03 1.00269648E+00 1.00330229E+00 36.8701920E+00 34.5509247E+00 987.142082E-03
33 04-05-24 09:14:43 36.9 37.0 39.9962225E+03 7.08619112E+00 1.00330232E+00 1.00305332E+00 987.035913E-03 987.490304E-03 1.00269648E+00 1.00330224E+00 36.9957024E+00 34.5509247E+00 987.142752E-03
34 04-05-24 10:14:43 36.6 36.6 39.9962225E+03 7.08619112E+00 1.00330173E+00 1.00305238E+00 987.035794E-03 987.489917E-03 1.00269595E+00 1.00330165E+00 36.5649214E+00 34.5509247E+00 987.141864E-03

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import os
import json
import time
import csv
import GPIBPrologix
import pandas as pd
from plotly.subplots import make_subplots
import plotly.graph_objects as go
from datetime import datetime
import numpy
def readRunningConfigs():
searchPath = os.path.realpath(os.path.dirname(__file__))+'/RunningConfigs/'
filenames = next(os.walk(searchPath), (None, None, []))[2]
filenames = [item for item in filenames if str.endswith(item,'.json')]
return filenames
for file in readRunningConfigs():
dataPath = os.path.realpath(os.path.dirname(__file__))+'/RunningConfigs/'+file
with open(dataPath, "r") as read_file:
configData = json.load(read_file)
serialPath = os.path.realpath(os.path.dirname(__file__))+'/data/'+configData['serial']+'/'
df = pd.read_csv(serialPath+configData['serial']+'.csv')
time_x = pd.to_datetime(df['DateTime'],format='%d-%m-%y %H:%M:%S')
coefficients = numpy.polyfit(df['TEMP'], df['G10V'], 1, rcond=None, full=False, w=None, cov=False)
polynomial = numpy.poly1d(coefficients)
fig = make_subplots(rows=1, cols=2)
fig.add_trace(go.Scatter(x=time_x, y=df['G10V']-polynomial(df['TEMP']),mode='lines+markers',name='time vs cal72 w tempcomp'),row=1, col=1)
fig.add_trace(go.Scatter(x=df['TEMP'], y=df['G10V'],mode='lines+markers',name='temp vs cal72'),row=1, col=2)
fig.write_html(serialPath+configData['serial']+'.html')

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#import gpibprologix
import os
import json
import time
import csv
import GPIBPrologix
import datetime
GPIB = GPIBPrologix.ResourceManager("/dev/ttyACM0")
instObj = GPIB.open_resource(22)
instObj.write("BEEP")
instObj.write("CAL? 72")
print(instObj.read())
print(instObj.query("CAL? 72"))
time.sleep(60)
## user customisable functions
def readFunc(instObj):
return instObj.read()
def writeFunc(instObj, input):
instObj.write(input)
def queryFunc(instObj, input):
time.sleep(0.1)
return instObj.query(input)
## the main program functionalities, should not be adjusted
def readRunningConfigs():
searchPath = os.path.realpath(os.path.dirname(__file__))+'/RunningConfigs/'
filenames = next(os.walk(searchPath), (None, None, []))[2]
filenames = [item for item in filenames if str.endswith(item,'.json')]
return filenames
def doACAL(dcACAL, ohmACAL, acACAL):
output = queryFunc(instObj, "TEMP?")
if dcACAL == "yes":
writeFunc(instObj, "ACAL DCV")
time.sleep(140+20)
if acACAL == "yes":
writeFunc(instObj, "ACAL ACV")
time.sleep(140+20)
if ohmACAL == "yes":
writeFunc(instObj, "ACAL OHMS")
time.sleep(600+60)
return output
def interrogate3458A(instObj):
output = []
d = datetime.datetime.now()
dx = d - datetime.timedelta(microseconds=d.microsecond)
output.append(dx.strftime("%d-%m-%y %H:%M:%S"))
output.append(queryFunc(instObj,"TEMP?")) # get temperature in device
output.append(queryFunc(instObj,"CAL? 1,1")) # get RREF cal value
output.append(queryFunc(instObj,"CAL? 2,1")) # get VREF cal value
output.append(queryFunc(instObj,"CAL? 78")) # get 10kohm ACAL gain constrant
output.append(queryFunc(instObj,"CAL? 79")) # get 100kohm ACAL gain constrant
output.append(queryFunc(instObj,"CAL? 71")) # get 1v0 ACAL gain constrant
output.append(queryFunc(instObj,"CAL? 70")) # get 0v1 ACAL gain constrant
output.append(queryFunc(instObj,"CAL? 86")) # get 1kohm ACAL ocomp constrant
output.append(queryFunc(instObj,"CAL? 87")) # get 10kohm ACAL ocomp constrant
output.append(queryFunc(instObj,"CAL? 176")) # get acal temperature for ohms
output.append(queryFunc(instObj,"CAL? 59")) # get temperature from during calibration
output.append(queryFunc(instObj,"CAL? 97")) # get 1mamp ACAL gain constrant
output.append(queryFunc(instObj,"CAL? 72")) # get 10v ACAL gain constrant
return output
## main program
# read the config file and do the folder setup
for file in readRunningConfigs():
dataPath = os.path.realpath(os.path.dirname(__file__))+'/RunningConfigs/'+file
with open(dataPath, "r") as read_file:
configData = json.load(read_file)
serialPath = os.path.realpath(os.path.dirname(__file__))+'/data/'+configData['serial']+'/'
if not os.path.exists(serialPath):
os.makedirs(serialPath)
with open(serialPath+configData['serial']+'.csv', 'a') as g:
writer = csv.writer(g)
writer.writerow(["DateTime","TEMP","CAL RREF","CAL VREF","G10K","G100K", "G1V0","G0V1","OCOMP1K","OCOMP10K", "ACALTEMP", "CALTEMP", "G1mA", "G10V"])
doACAL(configData['ACAL-DCV'],configData['ACAL-OHMS'],configData['ACAL-ACV'])
with open(serialPath+configData['serial']+'.csv', 'a') as f:
writer = csv.writer(f)
writer.writerow((interrogate3458A(instObj)))
writeFunc(instObj,"DISP OFF,''")

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{
"device": "3458A",
"manufacturer": "HP",
"serial": "2823A14043",
"options": "1",
"modifications": "describe, for logging purposes",
"ACAL-DCV": "yes",
"ACAL-OHMS": "yes",
"ACAL-ACV": "no"
}