Normalizing and Transforming Data
Before performing model calculations on your data, it may be desired to normalize the input composition to a total of 100 wt%. VESIcal has multiple methods for normalizing sample data using various routines. Each of the normalization routines can be accessed by the user at any time to normalize either a signle sample or all samples in a BatchFile object.
The standard normalization type returns the composition normalized to 100%, including any volatiles. The FixedVolatiles type the oxides to 100%, but volatiles remain fixed while other major element oxides are reduced proporitonally so that the total is 100 wt%. The AdditionalVolatiles type normalizes oxides to 100% assuming the sample is volatile-free. If H2O or CO2 concentrations are passed to the function, their un-normalized values will be retained in addition to the normalized non-volatile oxides, summing to >100%.
Normalization types are: ‘none’, ‘standard’, ‘fixedvolatiles’, ‘additionalvolatiles’.
import VESIcal as v
Default normalizations and how to change them
MagmaSat
Currently, no models force any kind of normalization onto samples. For testing purposes, MagmaSat (the default model) has an attribute called ‘normalization_type’. By default, this is set to ‘none’ such that no normalization is performed on samples. To change the type of normalization performed during all calculations, you can create a copy of the MagmaSat() model object, set its normalization type, and then use that model object for calculations, like so:
# make a copy of the MagmaSat() model object and give it a name
magmasatNorm = v.models.magmasat.MagmaSat()
# set normalization_type to be whatever you want. Let's say 'standard'.
magmasatNorm.normalization_type = 'standard'
# now you can do a calculation and set model=magmasatNorm
test_calc = v.calculate_saturation_pressure(sample=<your-sample>, temperature=<temperature>, model=magmasatNorm).result
Normalizing an entire dataset
Import an Excel file
myfile = v.BatchFile('example_data.xlsx')
myfile.get_data()
Label |
SiO2 |
TiO2 |
Al2O3 |
Fe2O3 |
Cr2O3 |
FeO |
MnO |
MgO |
NiO |
CoO |
CaO |
Na2O |
K2O |
P2O5 |
H2O |
CO2 |
Press |
Temp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BT-ex |
77.5 |
0.08 |
12.5 |
0.207 |
0 |
0.473 |
0 |
0.03 |
0 |
0 |
0.43 |
3.98 |
4.88 |
0 |
5.5 |
0.05 |
500 |
900 |
TVZMa-ex |
78.37 |
0.13 |
11.94 |
0 |
0 |
0.99 |
0.04 |
0.05 |
0 |
0 |
0.53 |
3.8 |
4.14 |
0 |
4.06 |
0.005 |
600 |
800 |
TVZOh-ex |
77.9 |
0.08 |
12.15 |
0 |
0 |
0.95 |
0.05 |
0.06 |
0 |
0 |
0.55 |
4.05 |
4.12 |
0 |
4.63 |
0.005 |
50 |
900 |
Oh48-FTIR1-MI1-a |
78.27 |
0.0298 |
12.02 |
0 |
0 |
0.9828 |
0.0336 |
0.0515 |
0 |
0 |
0.4772 |
4.05 |
4.09 |
0 |
4.214912406 |
0.004565932 |
250 |
950 |
Oh48-FTIR1-MI1-b |
78.27 |
0.0298 |
12.02 |
0 |
0 |
0.9828 |
0.0336 |
0.0515 |
0 |
0 |
0.4772 |
4.05 |
4.09 |
0 |
4.005815793 |
0.004447963 |
500 |
1025 |
Oh48-FTIR1-MI1-IRc |
78.27 |
0.0298 |
12.02 |
0 |
0 |
0.9828 |
0.0336 |
0.0515 |
0 |
0 |
0.4772 |
4.05 |
4.09 |
0 |
3.885649341 |
0.004654367 |
5000 |
925 |
Oh50-4.1 |
77.91 |
0.0984 |
12.07 |
0 |
0 |
1.0556 |
0.0257 |
0.0999 |
0 |
0 |
0.5216 |
4.04 |
4.18 |
0 |
4.641842879 |
0.004565932 |
1000 |
862 |
Oh50-4.2 |
77.91 |
0.0984 |
12.07 |
0 |
0 |
1.0556 |
0.0257 |
0.0999 |
0 |
0 |
0.5216 |
4.04 |
4.18 |
0 |
4.402133476 |
0.004447963 |
100 |
770 |
Oh49-4.1 |
77.92 |
0.0099 |
12.11 |
0 |
0 |
1.002 |
0.0672 |
0.0546 |
0 |
0 |
0.5346 |
4.01 |
4.3 |
0 |
4.283934433 |
0.004565932 |
1000 |
855 |
Oh49-4.2 |
77.92 |
0.0099 |
12.11 |
0 |
0 |
1.002 |
0.0672 |
0.0546 |
0 |
0 |
0.5346 |
4.01 |
4.3 |
0 |
4.230532593 |
0.004447963 |
500 |
1000 |
Ma55-5a.1 |
77.68 |
0.0096 |
12.27 |
0 |
0 |
1.0272 |
0.0628 |
0.0342 |
0 |
0 |
0.6064 |
3.97 |
4.35 |
0 |
4.459767403 |
0.004654367 |
5000 |
1010 |
Ma57-3b.2 |
77.9 |
0.0498 |
12.07 |
0 |
0 |
1.0844 |
0.0748 |
0.0355 |
0 |
0 |
0.4759 |
4.1 |
4.21 |
0 |
3.712506046 |
0.004447963 |
1000 |
1012 |
Ma57-3c.1 |
77.65 |
0.159 |
12.28 |
0 |
0 |
0.9769 |
0.0597 |
0.0577 |
0 |
0 |
0.5598 |
4.08 |
4.18 |
0.0064 |
4.443973024 |
0.004654367 |
100 |
885 |
Ma57-3c.2 |
77.65 |
0.159 |
12.28 |
0 |
0 |
0.9769 |
0.0597 |
0.0577 |
0 |
0 |
0.5598 |
4.08 |
4.18 |
0.0064 |
4.283171078 |
0.004644523 |
1000 |
885 |
Standard Normalization
Returns the composition normalized to 100%, including any volatiles.
standard = myfile.get_data(normalization='standard', asBatchFile=True)
standard.get_data()
SiO2 |
TiO2 |
Al2O3 |
Fe2O3 |
Cr2O3 |
FeO |
MnO |
MgO |
NiO |
CoO |
CaO |
Na2O |
K2O |
P2O5 |
H2O |
CO2 |
Press |
Temp |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BT-ex |
73.3693079617533 |
0.07573605983148728 |
11.833759348669886 |
0.1959670548139733 |
0.0 |
0.44778945375366846 |
0.0 |
0.028401022436807727 |
0.0 |
0.0 |
0.4070813215942441 |
3.7678689766164917 |
4.619899649720724 |
0.0 |
5.2068541134147495 |
0.04733503739467954 |
500 |
900 |
TVZMa-ex |
75.31593868627169 |
0.12493392917207247 |
11.474700879342656 |
0.0 |
0.0 |
0.9514199221565519 |
0.038441208976022295 |
0.048051511220027876 |
0.0 |
0.0 |
0.5093460189322955 |
3.6519148527221184 |
3.9786651290183075 |
0.0 |
3.9017827110662626 |
0.004805151122002787 |
600 |
800 |
TVZOh-ex |
74.5133674494237 |
0.07652207183509493 |
11.621789659955043 |
0.0 |
0.0 |
0.9086996030417523 |
0.04782629489693433 |
0.0573915538763212 |
0.0 |
0.0 |
0.5260892438662778 |
3.873929886651681 |
3.9408866995073892 |
0.0 |
4.428714907456119 |
0.004782629489693433 |
50 |
900 |
Oh48-FTIR1-MI1-a |
75.0975937702406 |
0.02859215912039312 |
11.532810490843133 |
0.0 |
0.0 |
0.9429655699168578 |
0.03223813914245668 |
0.04941262398322972 |
0.0 |
0.0 |
0.4578583332970335 |
3.88584712877826 |
3.924225865852613 |
0.0 |
4.044074985988403 |
0.004380932837037416 |
250 |
950 |
Oh48-FTIR1-MI1-b |
75.24864355354957 |
0.028649668811751336 |
11.556007352927889 |
0.0 |
0.0 |
0.94486223181843 |
0.03230298228439077 |
0.049512011537087036 |
0.0 |
0.0 |
0.4587792603009308 |
3.893663043207816 |
3.9321189744987572 |
0.0 |
3.8511846215038426 |
0.004276299559552683 |
500 |
1025 |
Oh48-FTIR1-MI1-IRc |
75.33552824378235 |
0.028682748711699423 |
11.569350319282789 |
0.0 |
0.0 |
0.9459532024784629 |
0.03234028042661411 |
0.049569179820554365 |
0.0 |
0.0 |
0.45930898272560283 |
3.898158801422237 |
3.9366591352634446 |
0.0 |
3.7399695922438303 |
0.004479513842424467 |
5000 |
925 |
Oh50-4.1 |
74.44986153482016 |
0.09402985977443593 |
11.533947230461806 |
0.0 |
0.0 |
1.0087186989623431 |
0.024558611750030525 |
0.09546324178319258 |
0.0 |
0.0 |
0.49843470384497746 |
3.860575543584565 |
3.994357864401852 |
0.0 |
4.435689495781982 |
0.0043632148346552276 |
1000 |
862 |
Oh50-4.2 |
74.62087523917397 |
0.0942458493586795 |
11.560441074789242 |
0.0 |
0.0 |
1.0110357579575413 |
0.024615023663801455 |
0.09568252389158619 |
0.0 |
0.0 |
0.4995796242427563 |
3.869443408628711 |
4.003533031700003 |
0.0 |
4.216288247712112 |
0.004260218881579333 |
100 |
770 |
Oh49-4.1 |
74.70986645803131 |
0.009492141657270407 |
11.611094491873194 |
0.0 |
0.0 |
0.9607197919782775 |
0.06443150700692639 |
0.05235059944312769 |
0.0 |
0.0 |
0.5125756494926018 |
3.844796772288316 |
4.122849406693207 |
0.0 |
4.107445290747176 |
0.004377890788595623 |
1000 |
855 |
Oh49-4.2 |
74.74822286148112 |
0.009497014968283667 |
11.617055683425775 |
0.0 |
0.0 |
0.9612130301232558 |
0.06446458645138002 |
0.052377476491746275 |
0.0 |
0.0 |
0.5128388082873179 |
3.846770709375505 |
4.124966097335329 |
0.0 |
4.058326790385657 |
0.004266941674638963 |
500 |
1000 |
Ma55-5a.1 |
74.35298568826587 |
0.009188834482586925 |
11.744479073056414 |
0.0 |
0.0 |
0.9832052896368009 |
0.06011029224025613 |
0.03273522284421592 |
0.0 |
0.0 |
0.5804280448167408 |
3.799965926653135 |
4.1636906249222 |
0.0 |
4.268756332698255 |
0.0044546703835374535 |
5000 |
1010 |
Ma57-3b.2 |
75.10797084160093 |
0.048015108445593396 |
11.637396765829566 |
0.0 |
0.0 |
1.045533807196817 |
0.07211907854880295 |
0.03422763754655755 |
0.0 |
0.0 |
0.4588431748846968 |
3.953051096926364 |
4.059108565380487 |
0.0 |
3.579445345279441 |
0.004288578360763041 |
1000 |
1012 |
Ma57-3c.1 |
74.33600642676657 |
0.15221410202003716 |
11.7559067472079 |
0.0 |
0.0 |
0.9352072720966936 |
0.05715208736224037 |
0.0552374445695355 |
0.0 |
0.0 |
0.535908517678093 |
3.9058712971179346 |
4.001603436753178 |
0.006126856936655584 |
4.254310437712519 |
0.004455373778624232 |
100 |
885 |
Ma57-3c.2 |
74.45062152893753 |
0.15244879360078642 |
11.774032612689668 |
0.0 |
0.0 |
0.9366492230730078 |
0.05724020740859717 |
0.05532261252053696 |
0.0 |
0.0 |
0.5367348091680517 |
3.911893571642821 |
4.0077733160458315 |
0.006136303641792661 |
4.106693407143862 |
0.00445361412751983 |
1000 |
885 |
FixedVolatiles Normalization
Normalizes the oxides to 100%, but volatiles remain fixed while other major element oxides are reduced proporitonally so that the total is 100 wt%.
fixed_vols = myfile.get_data(normalization='fixedvolatiles', asBatchFile=True)
fixed_vols.get_data()
SiO2 |
TiO2 |
Al2O3 |
Fe2O3 |
Cr2O3 |
FeO |
MnO |
MgO |
NiO |
CoO |
CaO |
Na2O |
K2O |
P2O5 |
CO2 |
H2O |
Press |
Temp |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BT-ex |
73.1402378097522 |
0.07549960031974419 |
11.79681254996003 |
0.19535521582733809 |
0.0 |
0.4463913868904875 |
0.0 |
0.02831235011990407 |
0.0 |
0.0 |
0.405810351718625 |
3.756105115907274 |
4.6054756195043955 |
0.0 |
0.05 |
5.5 |
500 |
900 |
TVZMa-ex |
75.19177867786779 |
0.12472797279727973 |
11.455784578457846 |
0.0 |
0.0 |
0.9498514851485149 |
0.03837783778377838 |
0.047972297229722974 |
0.0 |
0.0 |
0.5085063506350636 |
3.6458945894589463 |
3.972106210621062 |
0.0 |
0.005 |
4.06 |
600 |
800 |
TVZOh-ex |
74.35625563006705 |
0.07636072465218695 |
11.597285056550895 |
0.0 |
0.0 |
0.9067836052447201 |
0.04772545290761685 |
0.057270543489140215 |
0.0 |
0.0 |
0.5249799819837854 |
3.865761685516964 |
3.9325773195876286 |
0.0 |
0.005 |
4.63 |
50 |
900 |
Oh48-FTIR1-MI1-a |
74.96374134607406 |
0.028541197037345176 |
11.51225464392245 |
0.0 |
0.0 |
0.9412848472584846 |
0.03218067853875161 |
0.04932455192695558 |
0.0 |
0.0 |
0.45704225591346037 |
3.8789210738673816 |
3.9172314054611332 |
0.0 |
0.004566 |
4.214912 |
250 |
950 |
Oh48-FTIR1-MI1-b |
75.1274851204291 |
0.02860353975455203 |
11.537400934554208 |
0.0 |
0.0 |
0.9433409017038167 |
0.03225097099842108 |
0.04943229185769897 |
0.0 |
0.0 |
0.4580405762037661 |
3.8873938257025413 |
3.9257878387958995 |
0.0 |
0.004448 |
4.005816 |
500 |
1025 |
Oh48-FTIR1-MI1-IRc |
75.22137399457428 |
0.028639286380967337 |
11.55181954024253 |
0.0 |
0.0 |
0.9445198206447886 |
0.03229127591947995 |
0.04949406874563147 |
0.0 |
0.0 |
0.4586130020468998 |
3.892252008151601 |
3.930694003293839 |
0.0 |
0.004654 |
3.885649 |
5000 |
925 |
Oh50-4.1 |
74.28909127900464 |
0.09382680762230851 |
11.509040325216095 |
0.0 |
0.0 |
1.0065404281108625 |
0.024505578820054157 |
0.0952570943238681 |
0.0 |
0.0 |
0.4973583623556516 |
3.852238849533805 |
3.985732275012699 |
0.0 |
0.004566 |
4.641843 |
1000 |
862 |
Oh50-4.2 |
74.4759390316316 |
0.09406279554245348 |
11.53798721745339 |
0.0 |
0.0 |
1.0090720220997347 |
0.02456721387643348 |
0.09549667962084454 |
0.0 |
0.0 |
0.4986092901925176 |
3.861927784466586 |
3.9957569651164175 |
0.0 |
0.004448 |
4.402133 |
100 |
770 |
Oh49-4.1 |
74.57221130646157 |
0.009474652103875379 |
11.589700704841498 |
0.0 |
0.0 |
0.9589496371801141 |
0.06431279003842681 |
0.05225414190622178 |
0.0 |
0.0 |
0.5116312136092703 |
3.8377126198525517 |
4.115252934006477 |
0.0 |
0.004566 |
4.283934 |
1000 |
855 |
Oh49-4.2 |
74.61390985028243 |
0.009479950045146252 |
11.596181317850617 |
0.0 |
0.0 |
0.9594858530541964 |
0.0643487518215988 |
0.052283360855049026 |
0.0 |
0.0 |
0.5119173024378976 |
3.839858553640047 |
4.117554060013019 |
0.0 |
0.004448 |
4.230533 |
500 |
1000 |
Ma55-5a.1 |
74.20446891137105 |
0.009170480195020108 |
11.721019999260076 |
0.0 |
0.0 |
0.9812413808671514 |
0.059990224609089864 |
0.03266983569475913 |
0.0 |
0.0 |
0.5792686656521036 |
3.7923756639822743 |
4.155373838368487 |
0.0 |
0.004654 |
4.459767 |
5000 |
1010 |
Ma57-3b.2 |
75.00419281722876 |
0.04794876511293955 |
11.621317166931334 |
0.0 |
0.0 |
1.0440891744673022 |
0.07201943033027869 |
0.03418034460862157 |
0.0 |
0.0 |
0.4582091830772677 |
3.9475890956436177 |
4.05350002259991 |
0.0 |
0.004448 |
3.712506 |
1000 |
1012 |
Ma57-3c.1 |
74.18859321814428 |
0.1519122514061164 |
11.73259400796924 |
0.0 |
0.0 |
0.9333526943310383 |
0.05703875099965503 |
0.055127905070018336 |
0.0 |
0.0 |
0.5348457757053078 |
3.8981256964588353 |
3.99366799294067 |
0.00611470697483739 |
0.004654 |
4.443973 |
100 |
885 |
Ma57-3c.2 |
74.31345109814566 |
0.1521679166079222 |
11.752339722926319 |
0.0 |
0.0 |
0.9349235077627622 |
0.05713474604712552 |
0.0552206842030007 |
0.0 |
0.0 |
0.5357459101705336 |
3.9046861620146074 |
4.000389254220848 |
0.006124997901199385 |
0.004645 |
4.283171 |
1000 |
885 |
AdditionalVolatiles Normalization
Normalizes oxides to 100% assuming the sample is volatile-free. If H_2O or CO_2 concentrations are passed to the function, their un-normalized values will be retained in addition to the normalized non-volatile oxides, summing to >100%.
additional_vols = myfile.get_data(normalization='additionalvolatiles', asBatchFile=True)
additional_vols.get_data()
SiO2 |
TiO2 |
Al2O3 |
Fe2O3 |
Cr2O3 |
FeO |
MnO |
MgO |
NiO |
CoO |
CaO |
Na2O |
K2O |
P2O5 |
H2O |
CO2 |
Press |
Temp |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BT-ex |
77.4380495603517 |
0.07993605115907274 |
12.490007993605113 |
0.20683453237410068 |
0.0 |
0.4726219024780175 |
0.0 |
0.029976019184652272 |
0.0 |
0.0 |
0.4296562749800159 |
3.9768185451638685 |
4.8760991207034365 |
0.0 |
5.5 |
0.05 |
500 |
900 |
TVZMa-ex |
78.37783778377838 |
0.13001300130013002 |
11.941194119411941 |
0.0 |
0.0 |
0.9900990099009901 |
0.040004000400040006 |
0.05000500050005 |
0.0 |
0.0 |
0.5300530053005301 |
3.8003800380038006 |
4.14041404140414 |
0.0 |
4.06 |
0.005 |
600 |
800 |
TVZOh-ex |
77.97017315584026 |
0.08007206485837252 |
12.160944850365327 |
0.0 |
0.0 |
0.9508557701931738 |
0.050045040536482836 |
0.06005404864377939 |
0.0 |
0.0 |
0.5504954459013112 |
4.053648283455109 |
4.123711340206185 |
0.0 |
4.63 |
0.005 |
50 |
900 |
Oh48-FTIR1-MI1-a |
78.26616495791707 |
0.0297985398715463 |
12.019411048858608 |
0.0 |
0.0 |
0.9827518451595874 |
0.03359835368066965 |
0.05149747662364545 |
0.0 |
0.0 |
0.4771766183457012 |
4.049801559723575 |
4.089799599819609 |
0.0 |
4.214912 |
0.004566 |
250 |
950 |
Oh48-FTIR1-MI1-b |
78.26616495791707 |
0.0297985398715463 |
12.019411048858608 |
0.0 |
0.0 |
0.9827518451595874 |
0.03359835368066965 |
0.05149747662364545 |
0.0 |
0.0 |
0.4771766183457012 |
4.049801559723575 |
4.089799599819609 |
0.0 |
4.005816 |
0.004448 |
500 |
1025 |
Oh48-FTIR1-MI1-IRc |
78.26616495791707 |
0.0297985398715463 |
12.019411048858608 |
0.0 |
0.0 |
0.9827518451595874 |
0.03359835368066965 |
0.05149747662364545 |
0.0 |
0.0 |
0.4771766183457012 |
4.049801559723575 |
4.089799599819609 |
0.0 |
3.885649 |
0.004654 |
5000 |
925 |
Oh50-4.1 |
77.90906509121889 |
0.09839881921416942 |
12.069855161738058 |
0.0 |
0.0 |
1.0555873329520045 |
0.025699691603700753 |
0.09989880121438542 |
0.0 |
0.0 |
0.5215937408751095 |
4.039951520581752 |
4.179949840601912 |
0.0 |
4.641843 |
0.004566 |
1000 |
862 |
Oh50-4.2 |
77.90906509121889 |
0.09839881921416942 |
12.069855161738058 |
0.0 |
0.0 |
1.0555873329520045 |
0.025699691603700753 |
0.09989880121438542 |
0.0 |
0.0 |
0.5215937408751095 |
4.039951520581752 |
4.179949840601912 |
0.0 |
4.402133 |
0.004448 |
100 |
770 |
Oh49-4.1 |
77.91353317674633 |
0.009899178368195441 |
12.108994953418865 |
0.0 |
0.0 |
1.001916840902205 |
0.06719442286290238 |
0.054595468576108176 |
0.0 |
0.0 |
0.5345556318825537 |
4.009667197622597 |
4.299643129620241 |
0.0 |
4.283934 |
0.004566 |
1000 |
855 |
Oh49-4.2 |
77.91353317674633 |
0.009899178368195441 |
12.108994953418865 |
0.0 |
0.0 |
1.001916840902205 |
0.06719442286290238 |
0.054595468576108176 |
0.0 |
0.0 |
0.5345556318825537 |
4.009667197622597 |
4.299643129620241 |
0.0 |
4.230533 |
0.004448 |
500 |
1000 |
Ma55-5a.1 |
77.67207744810031 |
0.009599020899868213 |
12.26874858764406 |
0.0 |
0.0 |
1.0270952362858987 |
0.06279359505330455 |
0.03419651195578051 |
0.0 |
0.0 |
0.6063381535083423 |
3.969595101299668 |
4.349556345252784 |
0.0 |
4.459767 |
0.004654 |
5000 |
1010 |
Ma57-3b.2 |
77.89968840124641 |
0.0497998008007968 |
12.06995172019312 |
0.0 |
0.0 |
1.0843956624173505 |
0.0747997008011968 |
0.035499858000568 |
0.0 |
0.0 |
0.4758980964076144 |
4.0999836000656 |
4.2099831600673605 |
0.0 |
3.712506 |
0.004448 |
1000 |
1012 |
Ma57-3c.1 |
77.64262395072467 |
0.15898489643483865 |
12.27883351081647 |
0.0 |
0.0 |
0.9768072033156848 |
0.05969432903874132 |
0.05769451902069302 |
0.0 |
0.0 |
0.5597468240517149 |
4.079612436818501 |
4.179602937720916 |
0.006399392057754512 |
4.443973 |
0.004654 |
100 |
885 |
Ma57-3c.2 |
77.64262395072467 |
0.15898489643483865 |
12.27883351081647 |
0.0 |
0.0 |
0.9768072033156848 |
0.05969432903874132 |
0.05769451902069302 |
0.0 |
0.0 |
0.5597468240517149 |
4.079612436818501 |
4.179602937720916 |
0.006399392057754512 |
4.283171 |
0.004645 |
1000 |
885 |
Normalize a single sample composition
Extract a single sample from your dataset
Here, a composition is extracted from a BatchFile object and returned as a Sample object. Set asSampleClass=False to return as a dictionary.
SampleName = 'BT-ex'
extracted_bulk_comp = myfile.get_sample_composition(SampleName, asSampleClass=True)
The normalization type can be passed to get_sample_composition directly:
extracted_bulk_comp = myfile.get_sample_composition(SampleName, normalization=<normalization-type>, asSampleClass=True)
Or, normalization can be done to any Sample object, as shown below.
Standard Normalization
In the following three examples, the normalized composition is returned as a dictionary, not as a Sample object.
single_standard = extracted_bulk_comp.get_composition(normalization='standard')
single_standard
{'SiO2': 73.3693079617533,
'TiO2': 0.07573605983148728,
'Al2O3': 11.833759348669886,
'Fe2O3': 0.1959670548139733,
'Cr2O3': 0.0,
'FeO': 0.44778945375366846,
'MnO': 0.0,
'MgO': 0.028401022436807727,
'NiO': 0.0,
'CoO': 0.0,
'CaO': 0.4070813215942441,
'Na2O': 3.7678689766164917,
'K2O': 4.619899649720724,
'P2O5': 0.0,
'H2O': 5.2068541134147495,
'CO2': 0.04733503739467954}
FixedVolatiles Normalization
single_fixed = extracted_bulk_comp.get_composition(normalization='fixedvolatiles')
single_fixed
{'SiO2': 73.1402378097522,
'TiO2': 0.07549960031974419,
'Al2O3': 11.79681254996003,
'Fe2O3': 0.19535521582733809,
'Cr2O3': 0.0,
'FeO': 0.4463913868904875,
'MnO': 0.0,
'MgO': 0.02831235011990407,
'NiO': 0.0,
'CoO': 0.0,
'CaO': 0.405810351718625,
'Na2O': 3.756105115907274,
'K2O': 4.6054756195043955,
'P2O5': 0.0,
'CO2': 0.05,
'H2O': 5.5}
AdditionalVolatiles Normalization
single_additional = extracted_bulk_comp.get_composition(normalization='additionalvolatiles')
single_additional
{'SiO2': 77.4380495603517,
'TiO2': 0.07993605115907274,
'Al2O3': 12.490007993605113,
'Fe2O3': 0.20683453237410068,
'Cr2O3': 0.0,
'FeO': 0.4726219024780175,
'MnO': 0.0,
'MgO': 0.029976019184652272,
'NiO': 0.0,
'CoO': 0.0,
'CaO': 0.4296562749800159,
'Na2O': 3.9768185451638685,
'K2O': 4.8760991207034365,
'P2O5': 0.0,
'H2O': 5.5,
'CO2': 0.05}