In [1]:
%matplotlib inline
%load_ext autoreload
%autoreload 2
import xanespy as xp
In [2]:
datafile = xp.sxstm.SxstmDataFile('sxstm-data-4idc/XGSS_UIC_JC_475v_60c_001_001_001.3ds')
df = datafile.dataframe()
print(len(df))
300
In [3]:
df.plot(y='Z (m)')
df.plot(y='Current (A)')
df.median()
Out[3]:
Bias calc (V) 1.000000e+00
Current (A) -8.071288e-10
LIA Tip Ch1 (V) 2.122244e-01
LIA Tip Ch2 (V) -4.108731e-01
LIA Sample Ch1 (V) 1.472892e-01
LIA Gold Shielding Ch1 (V) 3.945652e-02
LIA topo Ch1 (V) 3.877008e-01
Gold Shielding (V) -2.479907e-02
Flux (V) 4.213902e-01
Bias (V) 1.000000e+00
Output 2 (V) 0.000000e+00
Output 3 (V) 0.000000e+00
Output 4 (V) 0.000000e+00
X (m) 3.153239e-06
Y (m) -9.195163e-07
Z (m) -3.280919e-07
dtype: float64
In [5]:
df
Out[5]:
Bias calc (V)
Current (A)
LIA Tip Ch1 (V)
LIA Tip Ch2 (V)
LIA Sample Ch1 (V)
LIA Gold Shielding Ch1 (V)
LIA topo Ch1 (V)
Gold Shielding (V)
Flux (V)
Bias (V)
Output 2 (V)
Output 3 (V)
Output 4 (V)
X (m)
Y (m)
Z (m)
0
1.0
-8.635014e-10
0.012604
-0.392287
0.132337
-0.065473
0.374855
-0.009401
0.421241
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279980e-07
1
1.0
-8.504188e-10
0.013169
-0.391634
0.123232
-0.055003
0.376317
-0.011495
0.421153
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279947e-07
2
1.0
-8.383399e-10
0.013921
-0.391067
0.114951
-0.045476
0.377792
-0.013018
0.421107
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279950e-07
3
1.0
-8.264969e-10
0.029534
-0.390546
0.106702
-0.035987
0.379223
-0.014912
0.421060
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279965e-07
4
1.0
-8.089909e-10
0.049105
-0.390085
0.098833
-0.026573
0.380672
-0.016527
0.420984
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280040e-07
5
1.0
-7.868572e-10
0.060374
-0.389653
0.090745
-0.017631
0.381864
-0.017808
0.420900
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280194e-07
6
1.0
-7.667543e-10
0.066295
-0.389388
0.082859
-0.008565
0.383113
-0.018789
0.420860
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280388e-07
7
1.0
-7.594679e-10
0.069445
-0.388942
0.074913
0.000295
0.384477
-0.019747
0.420821
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280524e-07
8
1.0
-7.703084e-10
0.071194
-0.388895
0.067413
0.008699
0.385588
-0.020867
0.420748
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280510e-07
9
1.0
-7.948359e-10
0.072102
-0.388994
0.060367
0.016883
0.386756
-0.022392
0.420696
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280345e-07
10
1.0
-8.205251e-10
0.073604
-0.388998
0.053836
0.024773
0.387821
-0.024298
0.420640
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280103e-07
11
1.0
-8.243402e-10
0.089580
-0.388689
0.048175
0.032322
0.388329
-0.026357
0.420562
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279972e-07
12
1.0
-8.068670e-10
0.106070
-0.388545
0.043232
0.039253
0.388669
-0.028606
0.420556
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280042e-07
13
1.0
-7.864394e-10
0.115286
-0.388546
0.038904
0.046035
0.388124
-0.030833
0.420517
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280190e-07
14
1.0
-7.704299e-10
0.120225
-0.388514
0.035472
0.052348
0.387204
-0.032982
0.420519
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280353e-07
15
1.0
-7.676041e-10
0.122870
-0.388530
0.032982
0.058398
0.385757
-0.034799
0.420453
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280435e-07
16
1.0
-7.713832e-10
0.124336
-0.388540
0.031198
0.064002
0.384269
-0.036353
0.420428
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280443e-07
17
1.0
-7.756907e-10
0.125173
-0.388876
0.030148
0.069220
0.383006
-0.037635
0.420393
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280439e-07
18
1.0
-7.844381e-10
0.127069
-0.389027
0.029864
0.074061
0.381893
-0.038651
0.420356
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280395e-07
19
1.0
-7.951405e-10
0.135749
-0.389004
0.030209
0.078334
0.381324
-0.039127
0.420316
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280313e-07
20
1.0
-8.059168e-10
0.142558
-0.388989
0.031185
0.082361
0.380952
-0.039581
0.420313
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280207e-07
21
1.0
-8.104872e-10
0.146275
-0.388972
0.032565
0.085868
0.380583
-0.039563
0.420268
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280130e-07
22
1.0
-8.100026e-10
0.148240
-0.389199
0.034274
0.088884
0.380263
-0.039116
0.420246
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280093e-07
23
1.0
-8.073905e-10
0.149333
-0.389428
0.036231
0.091071
0.380033
-0.038536
0.420234
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280082e-07
24
1.0
-8.100466e-10
0.149952
-0.389742
0.038629
0.093023
0.379862
-0.037390
0.420175
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280047e-07
25
1.0
-8.268628e-10
0.150235
-0.389901
0.041170
0.094500
0.379540
-0.035645
0.420223
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279897e-07
26
1.0
-8.556759e-10
0.150225
-0.390314
0.043858
0.095322
0.379586
-0.033251
0.420298
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279611e-07
27
1.0
-8.757314e-10
0.149700
-0.390554
0.046758
0.095836
0.380026
-0.030486
0.420242
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279311e-07
28
1.0
-8.726656e-10
0.149248
-0.390853
0.049288
0.095539
0.380454
-0.027686
0.420271
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279166e-07
29
1.0
-8.615021e-10
0.149030
-0.391209
0.052097
0.094815
0.380455
-0.024953
0.420283
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.279123e-07
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
270
1.0
-9.045331e-10
0.200312
-0.489133
0.140059
-0.066656
0.430452
-0.022131
0.420308
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282745e-07
271
1.0
-9.513079e-10
0.207570
-0.491345
0.133407
-0.068070
0.428996
-0.023041
0.420218
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282092e-07
272
1.0
-9.234130e-10
0.211498
-0.493388
0.127284
-0.069632
0.427476
-0.024545
0.420158
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.281952e-07
273
1.0
-8.497557e-10
0.213522
-0.495282
0.121349
-0.071502
0.425939
-0.026315
0.420072
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282263e-07
274
1.0
-7.649919e-10
0.214648
-0.496929
0.115960
-0.073558
0.424193
-0.028413
0.420009
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282876e-07
275
1.0
-6.891627e-10
0.215288
-0.498319
0.110787
-0.075963
0.422320
-0.030580
0.420001
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.283652e-07
276
1.0
-6.354876e-10
0.225116
-0.499451
0.106019
-0.078212
0.420268
-0.032665
0.419936
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.284437e-07
277
1.0
-6.111880e-10
0.252843
-0.500051
0.102042
-0.081028
0.417996
-0.034466
0.419969
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.285066e-07
278
1.0
-6.326886e-10
0.271010
-0.500454
0.098009
-0.083973
0.415315
-0.035937
0.419967
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.285294e-07
279
1.0
-7.148864e-10
0.280929
-0.500886
0.094442
-0.087154
0.412533
-0.036938
0.419980
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.284854e-07
280
1.0
-8.276378e-10
0.286217
-0.501180
0.091375
-0.090391
0.409527
-0.037646
0.419967
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.283966e-07
281
1.0
-9.229686e-10
0.289049
-0.501187
0.088966
-0.093823
0.406774
-0.038326
0.420001
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.283080e-07
282
1.0
-9.699547e-10
0.290606
-0.500865
0.086898
-0.097639
0.403837
-0.039040
0.419989
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282438e-07
283
1.0
-9.490764e-10
0.291508
-0.500546
0.085375
-0.101698
0.401233
-0.041609
0.419974
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282213e-07
284
1.0
-8.697645e-10
0.306458
-0.500023
0.084151
-0.106135
0.398893
-0.043299
0.419949
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282496e-07
285
1.0
-7.670680e-10
0.330254
-0.499685
0.083358
-0.110876
0.396447
-0.043397
0.419942
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.283197e-07
286
1.0
-6.719692e-10
0.344417
-0.498783
0.083033
-0.115961
0.394506
-0.042643
0.419942
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.284171e-07
287
1.0
-6.262470e-10
0.352049
-0.497754
0.082571
-0.121304
0.392836
-0.039231
0.419932
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.284995e-07
288
1.0
-6.484933e-10
0.356122
-0.496499
0.082686
-0.127010
0.391613
-0.038104
0.419917
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.285215e-07
289
1.0
-7.423017e-10
0.358340
-0.495153
0.083020
-0.132780
0.390835
-0.036477
0.419910
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.284675e-07
290
1.0
-8.902815e-10
0.359488
-0.493720
0.083359
-0.138842
0.390892
-0.034507
0.419896
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.283526e-07
291
1.0
-1.032734e-09
0.360269
-0.492352
0.083765
-0.145471
0.391605
-0.032623
0.419907
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282257e-07
292
1.0
-1.109901e-09
0.367195
-0.491078
0.084131
-0.152530
0.392327
-0.031168
0.419972
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.281285e-07
293
1.0
-1.095481e-09
0.375873
-0.490045
0.084291
-0.160115
0.392466
-0.030128
0.420042
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280803e-07
294
1.0
-1.001631e-09
0.380879
-0.489319
0.084145
-0.168141
0.392038
-0.029478
0.420083
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.280895e-07
295
1.0
-8.706306e-10
0.383621
-0.489039
0.083689
-0.176597
0.390830
-0.028999
0.420114
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.281493e-07
296
1.0
-7.362495e-10
0.385118
-0.489058
0.082746
-0.185420
0.389019
-0.028490
0.420208
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.282498e-07
297
1.0
-6.251500e-10
0.385863
-0.489502
0.081565
-0.194219
0.387216
-0.027848
0.420267
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.283750e-07
298
1.0
-5.604432e-10
0.386192
-0.490184
0.080052
-0.203518
0.385228
-0.026892
0.420303
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.284923e-07
299
1.0
-5.687769e-10
0.385777
-0.491254
0.078164
-0.212901
0.383525
-0.025664
0.420352
1.0
0.0
0.0
0.0
0.000003
-9.195163e-07
-3.285490e-07
300 rows × 16 columns
In [ ]:
Content source: m3wolf/xanespy
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