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data_ediagram.py
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data_ediagram.py
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#Plot: x-Achse: Al, y-Achse Fe, No ist egal, alle Epi_E_a mit einer Farbe und in Legende Bezeichnung „Epi_E_a“, usw.
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rawdata = [
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"""No. 229 230 231 232 252 253 254 255 256 307 308 309 310 311
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Epi_E_a Epi_E_a Epi_E_a Epi_E_a Epi_E_b Epi_E_b Epi_E_b Epi_E_b Epi_E_b Epi_E_c Epi_E_c Epi_E_c Epi_E_c Epi_E_c
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Al 2,93241133320791 2,9517948142983 2,92856594815371 2,90506582679333 2,89658762937309 2,90681620895172 2,95236414704128 2,91374571497044 2,45747553229356 2,53688512906265 2,90221591085952 2,91448506221199 2,91382940302767 2,94304507974937
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Fe+3 0,0738059065117476 0,050928262764455 0,0682348033150973 0,0824736762809354 0,122109173460867 0,0797197538583904 0,0531746087169284 0,0750998173148713 0,569435047767714 0,465346519422234 0,0937334717419173 0,0549985486816274 0,0734492480313419 0,0636042926797437""",
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"""No. 183 184 252 253 345 346 347 348 349 350
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Epi_E_d Epi_E_d Epi_E_e Epi_E_e Epi_E_f Epi_E_f Epi_E_f Epi_E_g Epi_E_g Epi_E_g
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Al 2,3211321203245 2,56569075271161 2,34866353535515 2,33764178096418 2,38549902272546 2,44101343171515 2,43252321725985 2,64273909318701 2,54516053548287 2,64522713463196
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Fe+3 0,564715399175452 0,302176553751045 0,56188080692161 0,565253779889425 0,55168541071089 0,474199676877068 0,458548694452138 0,269641308975537 0,364153221729885 0,26248715223474""",
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"""No. 351 352 353 354 32 33 34 128 129 130
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Epi_E_h Epi_E_h Epi_E_h Epi_E_h Epi_E_i Epi_E_i Epi_E_i Epi_E_j Epi_E_j Epi_E_j
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Al 2,33807425110074 2,34053672866791 2,38290443369389 2,3672668438269 2,87614939294447 2,84733707207427 2,83402682658253 2,73479742201638 2,72162727777866 2,71989247957813
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Fe+3 0,614561836666928 0,591836889041518 0,562676984045455 0,581807648005309 0,0671844427520575 0,0871417513551472 0,11640502802312 0,216917151917929 0,220934373075201 0,218288833455775""",
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"""No. 15 16 17 18 19 20 44 45 46 47 48 49 50 51 52 83 84 85 86 87 88 89
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Epi_E_k Epi_E_k Epi_E_k Epi_E_k Epi_E_k Epi_E_k Epi_E_l Epi_E_l Epi_E_l Epi_E_l Epi_E_l Epi_E_l Epi_E_l Epi_E_l Epi_E_l Epi_E_m Epi_E_m Epi_E_m Epi_E_m Epi_E_m Epi_E_m Epi_E_m
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Al 2,23803832994323 2,27088377084141 2,30398440933804 2,3311892274406 2,41249562087074 2,40817997869596 2,25084040252057 2,08840485293262 2,35186690290207 2,34693924105135 2,39932891124769 2,06920110479273 2,19571704213787 2,23866580333112 2,31641461316187 2,32700583406629 2,35627094588088 2,29984779024087 1,39734497654841 2,14368050236642 2,2405064522685 2,30092014650739
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Fe+3 0,713835952962848 0,69659158131678 0,607578677279297 0,657799395214154 0,552765811321079 0,532802296316212 0,727675372811064 0,83843175252463 0,596309911427646 0,605680843189107 0,56019383930035 0,871047065977394 0,76873557636038 0,73142117046558 0,647890420291867 0,644249033314204 0,590722956716691 0,654917989765932 0,55475099974521 0,755121474256949 0,725174206943835 0,65559842830768""",
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"""No. 48 49 50 51 52 103 104 105 106 107 108 138 139 140 141
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Epi_Fro_a Epi_Fro_a Epi_Fro_a Epi_Fro_a Epi_Fro_a Epi_Fro_b Epi_Fro_b Epi_Fro_b Epi_Fro_b Epi_Fro_b Epi_Fro_b Epi_Fro_c Epi_Fro_c Epi_Fro_c Epi_Fro_c
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Al 2,85237208018488 2,89132121196934 2,86829953964949 2,87842750294436 2,93240670570976 2,61849677550985 2,29589538762623 2,61410137305755 2,64258213720569 2,66420042890076 2,57165845075151 2,58213993141373 2,5632717146903 2,54963051498439 2,53852108918408
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Fe+3 0,137421199716151 0,139878060209798 0,130249537222605 0,136637539671679 0,0780938825470317 0,388867303201215 0,723374720501857 0,406260512165727 0,346957727732163 0,351218924994998 0,433205152860762 0,35102622856358 0,361107038158408 0,425307482024452 0,411475851430893""",
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"""No. 160 161 162 172 173 174 175 25 26 27 28
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Epi_Fro_d Epi_Fro_d Epi_Fro_d Epi_Fro_e Epi_Fro_e Epi_Fro_e Epi_Fro_e Epi_Fro_f Epi_Fro_f Epi_Fro_f Epi_Fro_f
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Al 2,343252099666 2,3212170818885 2,29813888481623 2,20525786733392 2,22750445940276 2,30964404064813 2,35481641911625 2,23581396029492 2,21624345660384 2,20332021741968 2,21957329382193
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Fe+3 0,645547366575881 0,63865710405176 0,69621676240418 0,78275014460138 0,716790297122701 0,668285316238327 0,531628980198307 0,756610936041688 0,78171442700135 0,797458706873903 0,766006232199339""",
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"""No. 50 51 52 60 61 62 69 70 100 101 102 103 104
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Epi_Fro_g Epi_Fro_g Epi_Fro_g Epi_Fro_h Epi_Fro_h Epi_Fro_h Epi_Fro_i Epi_Fro_i Epi_Fro_j Epi_Fro_j Epi_Fro_j Epi_Fro_j Epi_Fro_j
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Al 2,45854294394831 2,36625997205822 2,34045238400722 2,40315075368061 2,40015262377715 2,32844282722795 2,34272515058542 2,33136923906842 1,85276573810898 1,85505603170204 1,82074245087717 1,84112034723124 1,85338889504735
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Fe+3 0,508607123881933 0,590462611164006 0,621787882493695 0,57510237357414 0,590153092518535 0,64008998886145 0,618313506311464 0,659811805656024 1,7189960853372 1,79621051158201 1,85729798340094 1,77078579293587 1,80537514557715""",
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"""No. 270 271 272 183 184 185 187 188 189 190 213 214 215
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Epi_Fro_k Epi_Fro_k Epi_Fro_k Epi_Fro_l Epi_Fro_l Epi_Fro_l Epi_Fro_l Epi_Fro_l Epi_Fro_l Epi_Fro_l Epi_Fro_m Epi_Fro_m Epi_Fro_m
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Al 2,58877018381275 2,57262792875167 2,57168780190379 1,8279966568131 2,56886214966037 2,20602572477669 2,55807207503061 2,59848688834496 2,5635149982321 2,52355457745325 2,57879618531635 2,57645141656476 2,43950508005609
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Fe+3 0,371532296693202 0,359530131730853 0,389397233611845 0,380127701063786 0,338599718782561 0,301792824875321 0,329298263548948 0,31493746727952 0,342439458454303 0,403709321421708 0,329267750784328 0,325891659607313 0,464467745133605""",
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"""No. 335 336 337 338 339 340 349 350 351 352 353 392 393 394
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Epi_Fro_n Epi_Fro_n Epi_Fro_n Epi_Fro_n Epi_Fro_n Epi_Fro_n Epi_Fro_o Epi_Fro_o Epi_Fro_o Epi_Fro_o Epi_Fro_o Epi_Fro_p Epi_Fro_p Epi_Fro_p
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Al 2,39650025345515 2,36509789693306 2,38306665321643 2,60547841331133 2,55062503821418 2,52945450163079 2,66152306385287 2,53638900826945 2,51926778023304 2,50013163798528 2,53230398187015 2,32165149739709 1,92233432749447 2,2152145750714
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Fe+3 0,646967319885096 0,67060058038901 0,634332433880778 0,390127660594466 0,463092946287179 0,480783780771496 0,334265143380398 0,461349914203222 0,48761584438644 0,513827382934719 0,455238697880172 0,684486585941876 1,75024231652052 0,797480509686296""",
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"""No. 32 33 34 35 36 448 449
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Epi_Fro_q Epi_Fro_q Epi_Fro_r Epi_Fro_s Epi_Fro_s Epi_Fro_t Epi_Fro_t
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Al 2,40096985266195 2,38332802260323 2,48845056404113 2,43803592497744 2,46300504056357 2,15455100535075 2,10626857303588
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Fe+3 0,495295307043025 0,519912385715743 0,406063905437858 0,472986774143588 0,477241309361155 0,733398904124484 0,759605355841605""",
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"""No. 132 133 134 135 136 137 138 160 161 162 163 164 282 283 284 285 286 287 288
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Epi_Fro_u Epi_Fro_u Epi_Fro_u Epi_Fro_u Epi_Fro_u Epi_Fro_u Epi_Fro_u Epi_Fro_v Epi_Fro_v Epi_Fro_v Epi_Fro_v Epi_Fro_v Epi_Fro_w Epi_Fro_w Epi_Fro_w Epi_Fro_w Epi_Fro_w Epi_Fro_w Epi_Fro_w
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Al 2,17255446555271 2,19235872841047 2,24127676285561 2,2167891391999 2,19180339584333 2,29106385728859 2,17181283336184 2,21504421704291 2,09835789648747 2,18837554001955 2,20326223208813 2,22259517525392 2,42508019806652 2,14278466705158 2,18552778507985 2,14905241085173 2,24962659797287 2,14246062897699 2,3327936136744
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Fe+3 0,767790522060898 0,776217818372491 0,720004218600254 0,749194339131505 0,784076288263845 0,643696100251768 0,783071315587265 0,749621323983758 0,779060340037785 0,796665025674518 0,759581052653747 0,737902162502921 0,490435828297395 0,782670381360682 0,735981521421355 0,793861274981069 0,718467284424362 0,802399166994268 0,611098256201509""",
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"""No. 227 228 229 230 231 232 233 286 287 288 289
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Epi_Rane_a Epi_Rane_a Epi_Rane_a Epi_Rane_b Epi_Rane_b Epi_Rane_b Epi_Rane_b Epi_Rane_c Epi_Rane_c Epi_Rane_c Epi_Rane_c
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Al 2,49409450823092 2,81436754418619 2,81584171055651 2,81508792984036 2,81071936705869 2,80373646222146 1,06886410904301 2,78525748653209 2,81675723209331 2,82678615187416 2,81633661275731
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Fe+3 0,442776264359581 0,10601338850713 0,117435099127739 0,11783903840454 0,107488645447369 0,120538230849844 0,39336721721071 0,131381896142243 0,119278558392504 0,108524669815512 0,104405344764322""",
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"""No. 220 221 222 223 224 225 226 250 251 252 253 254 368 369 370 371
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Epi_Rane_d Epi_Rane_d Epi_Rane_d Epi_Rane_d Epi_Rane_d Epi_Rane_d Epi_Rane_d Epi_Rane_e Epi_Rane_e Epi_Rane_e Epi_Rane_e Epi_Rane_e Epi_Rane_f Epi_Rane_f Epi_Rane_g Epi_Rane_g
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Al 2,2981177560916 2,00914682630984 2,1550799590996 1,99301218260343 2,17929573010852 2,35592811946789 2,24762104986111 2,41434799978562 2,55562651498457 2,506878442723 2,48798427611867 1,33046725096498 2,27713956558791 2,26525903643226 2,27786295057994 2,28677527488395
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Fe+3 0,650852093071001 0,928212948153806 0,795960089904116 0,934015014000395 0,74303726896531 0,609716266934655 0,710584362233489 0,447730655790762 0,387000066717139 0,463987910145945 0,458733209558447 0,344625303142351 0,638932639038263 0,659565313478828 0,649523999630508 0,625302755954743
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"""]
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def _convert(d):
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dat = []
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d = d.replace("Al\t", "").replace("Fe+3\t", "")
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ds = list(map(lambda x: x.split(), d.split("\t\t")))
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for s in ds:
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dat.append(list(map(float, list(map(lambda x: x.replace(",","."), s)))))
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return dat
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def get_data():
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data = []
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for dataset in rawdata:
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lines = dataset.split("\n")
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#probe_label = lines[0].split("\t")[0]
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data.append({"index": lines[0].split()[1:],
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"labels": lines[1].split(),
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"al": _convert(lines[2]),
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"fe": _convert(lines[3])})
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return data
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data = get_data()
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if __name__ == "__main__":
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print(data)
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@@ -32,7 +32,20 @@ Al (vi) 1.474 1.592 1.478 1.330 1.559 1.340 0.646 0.678 0.578 0.570 0.571 0.681
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No. 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 301 302 303 304 305 306 326 327 328 329 330 331 332 333 334 335 336 337 338 389 390 391 392 394 395 396 397 398 399 400 401 402 403 404 405
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No. 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 301 302 303 304 305 306 326 327 328 329 330 331 332 333 334 335 336 337 338 389 390 391 392 394 395 396 397 398 399 400 401 402 403 404 405
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Al (iv) 0.115 0.282 0.292 0.508 0.453 0.524 0.832 0.142 0.179 0.200 0.203 0.206 0.239 0.934 0.848 0.846 0.730 0.092 0.085 0.077 0.123 0.278 0.279 0.216 0.352 0.399 1.081 1.028 0.105 0.236 0.245 1.404 1.315 1.717 0.157 0.179 0.189 0.199 0.223 0.253 0.536 0.780 0.392 0.736 0.120 0.165 0.143 0.179 0.139 0.146 0.189 0.214 0.223 0.337 0.382 0.292 0.335 0.477 1.151 1.186 1.390 1.627 1.502
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Al (iv) 0.115 0.282 0.292 0.508 0.453 0.524 0.832 0.142 0.179 0.200 0.203 0.206 0.239 0.934 0.848 0.846 0.730 0.092 0.085 0.077 0.123 0.278 0.279 0.216 0.352 0.399 1.081 1.028 0.105 0.236 0.245 1.404 1.315 1.717 0.157 0.179 0.189 0.199 0.223 0.253 0.536 0.780 0.392 0.736 0.120 0.165 0.143 0.179 0.139 0.146 0.189 0.214 0.223 0.337 0.382 0.292 0.335 0.477 1.151 1.186 1.390 1.627 1.502
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Al (vi) 1.463 1.290 1.258 1.104 1.116 1.077 0.862 1.472 1.435 1.397 1.371 1.364 0.867 0.370 0.347 0.316 0.068 1.521 1.534 1.519 1.466 1.299 1.329 1.394 1.259 1.185 0.318 0.315 1.491 1.321 1.300 0.652 0.711 0.725 1.445 1.441 1.428 1.413 1.423 1.355 1.104 0.882 1.164 0.972 1.444 1.394 1.399 1.422 1.485 1.480 1.434 1.451 1.387 1.305 1.270 1.248 1.244 1.104 0.565 0.500 0.595 0.558 0.681
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Al (vi) 1.463 1.290 1.258 1.104 1.116 1.077 0.862 1.472 1.435 1.397 1.371 1.364 0.867 0.370 0.347 0.316 0.068 1.521 1.534 1.519 1.466 1.299 1.329 1.394 1.259 1.185 0.318 0.315 1.491 1.321 1.300 0.652 0.711 0.725 1.445 1.441 1.428 1.413 1.423 1.355 1.104 0.882 1.164 0.972 1.444 1.394 1.399 1.422 1.485 1.480 1.434 1.451 1.387 1.305 1.270 1.248 1.244 1.104 0.565 0.500 0.595 0.558 0.681
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"""]
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""", # second data set starts below
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"""Fro11-6c_(gln) amph_Fro_ca amph_Fro_cb amph_Fro_cc amph_Fro_cd
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No. 33 34 35 36 37 38 40 41 42 43 44 53 54 55 56 57 58 59 74 75 76 77 78 79 80 81 82 83 89 90 91 92 93 94 95 96 97 98
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Al (iv) 0.946816804407802 0.915374936513542 0.937271642498776 0.847760968902469 0.747719228173619 0.714829698146967 1.86571227579049 1.71838080893279 1.71103734452366 1.70879657970424 1.64092677390816 0.461022184356462 0.693023395327311 0.982951765167888 1.52795621943651 1.53036132489667 1.49209394814901 1.62995787481642 0.698900346977771 0.816799574124805 0.764948598355243 0.869872587451249 1.5530690903298 1.79468904739747 1.84420792449185 1.99843039623898 1.56667648786992 1.57383359070777 0.630928262769171 0.561577760147696 0.548056344005859 0.786375842376335 1.00513689464044 1.87745464654207 1.93338975656706 0.615313278112884 0.50168136117628 1.61995337675513
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Al (vi) 0.838942186807262 0.815361670511523 0.808137144270259 0.862078768661791 0.939090197132293 0.963779498333328 0.560748890921683 0.484482276634198 0.473542874470649 0.609182415010286 0.599143153793783 1.12725569400285 0.966366578088712 0.806510848833191 3.51621774600843 3.56674385825125 3.57782677128492 3.36773309452869 0.942984820030193 0.887441228699995 0.944724260781667 0.901423930916418 0.386579399482084 0.481158896581861 0.53578885415416 0.76897845900415 0.400356157934341 0.510848459618583 0.998093322898503 1.03315559508081 1.02774242501428 0.951305106175528 0.819026996150823 0.798236792336004 1.54853682884571 0.988494165008363 1.06735883175549 0.576081223535151""",
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"""Fro12-2_(gln) amph_Fro_ce amph_Fro_cf amph_Fro_cg amph_Fro_ch amph_Fro_ci amph_Fro_cj amph_Fro_ck
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No. 191 192 193 194 195 196 197 198 199 200 201 202 222 223 224 225 226 227 228 229 230 231 232 233 245 246 247 248 249 250 251 252 253 259 260 261 262 263 264 265 266 267 268 269 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315
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||||||
|
Al (iv) 0.328188388002119 0.361256275224842 0.362429861161353 0.342701124396405 0.375689071786472 0.410922546562091 0.433489035412379 0.215393190830418 0.352438484877891 0.860029563686514 0.981522439883262 1.08818373565835 0.384753748828151 0.388117260733489 0.347654152270255 0.529919556378776 0.583522801938067 0.377562975184153 0.417591727752516 0.877417733596414 1.1786437776632 1.22285207322467 0.951286956138196 0.974460816925085 0.887289832741685 0.360677366131962 0.428434921439195 0.412327022806907 0.502578452044203 1.01026038416063 1.08387614318567 1.16025742016281 0.854098229490802 0.375855418045937 0.289692422406622 0.436627446505401 0.54555536543532 0.402297240781901 0.827694244724913 0.883768905233 1.01023249853057 1.16494077314581 1.05218100302439 1.07271367271352 0.770950749006239 0.27531264327789 0.374033825154145 0.338852609962906 0.36706682043426 0.817341101615991 0.762079236826144 1.25500977497809 1.08211101979398 1.11167158638088 1.0643412222582 1.08026436357389 1.03519777229883 0.947204233180861 0.386067094610256 0.357594948027232 0.29320791126707 0.338630493331255 0.370393547817729 0.347849859930496 0.32545386771765 0.337512298104357 0.414621915838326 0.625592554904839 0.887937451012005 0.947577578612908 1.02858068580916 1.02952059000579 1.15762177585972 1.07719594023792 0.392634480405641 0.405076921869238 0.331509741636521 0.382734742735397 0.369638226563933 0.761249808607752 0.872380301765923 0.95152692000307 0.922540441086865 0.986008478205388 0.98738227238653 1.9257930295669 1.48390529065649
|
||||||
|
Al (vi) 1.37017335890543 1.36844364037036 1.32288688936552 1.37029541618546 1.37024211844302 1.35087782045706 1.29461573002652 1.50861073865596 1.3267869122613 0.612766609051898 0.693097818545363 0.670250981028784 1.3113133967853 1.34586514772034 1.35120737985726 1.17787883422592 1.12431189432453 1.36570772342889 1.33366175301796 0.549125324096053 0.63185534306506 0.629769910820257 0.514554244651119 0.640588186644977 0.929064970765926 1.36945947220338 1.28702756326837 1.31522311951817 1.23519616350027 0.598196994561467 0.596610834619597 0.573975596813212 0.2257536612153 1.37957308340145 1.42031965165414 1.08294441110912 1.11684264289059 1.34256283430956 0.893482190348614 0.505383059504192 0.660494005191579 0.580331722771146 0.656397074917925 0.634530014440569 0.618954716080268 1.50568132348632 1.34859276445898 1.41407627333516 1.35881473682596 0.635224674181522 0.543399719473396 0.859870249699252 0.630056681042227 0.707551804332569 0.752200148416642 0.711696461129994 0.68907797385245 0.725583405687959 1.32471185901789 1.361178184943 1.46613949231631 1.36801377871056 1.35482566723579 1.40188108196994 1.41669289870394 1.41701792117051 1.3173557632398 1.05825229558851 0.604084399396854 0.572378684337928 0.638198011270666 0.623548230339987 0.707997620150112 0.602927533124502 1.2937876942767 1.29620291613596 1.43353543228735 1.35113875560262 1.32831854491189 0.694020039147137 0.659831222815137 0.5729544062121 0.687856225738848 0.691489332662949 0.70608557115278 2.48251955219877 4.02806549864933""",
|
||||||
|
"""Fro12-13a_(gln) amph_Fro_cl amph_Fro_cm amph_Fro_cn amph_Fro_co amph_Fro_cp amph_Fro_cq amph_Fro_cr amph_Fro_cs amph_Fro_ct amph_Fro_cu amph_Fro_cv
|
||||||
|
No. 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 109 110 111 112 113 114 115 116 137 138 139 140 141 142 143 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 450 451 452 453 454 455 456 457 458 459
|
||||||
|
Al (iv) 0 0.314353485701544 0.325291246418307 0.381403755363658 0.374302906412133 0.489528008310402 0.402225876198907 1.75871040410334 1.84146892417324 1.45935094146606 1.27284089871442 1.05421242353845 0.850022770011366 0.839986208459827 0.32211912468823 0.285872871643965 0.261919641645515 0.284384131951545 0.349818354093864 0.313322857319986 0.425344884166535 0.505290552823106 0.903938357238606 0.311516192198159 0.40284833961657 0.381826799315414 0.341443209938549 1.0312673119157 1.05362107396374 1.11817520899743 0.269991406049937 0.310167696154493 0.348350989371074 0.331714596146752 0.36820771230222 0.31276106321326 0.424055902995629 0.408894424685645 0.646334308987496 0.903507639568968 1.01920305688623 0.261897957134529 0.245147508828516 0.367981013369273 1.06140937955948 1.56469269258899 1.11004722485604 2.15682423580188 2.05816222486019 0.215868941603327 0.201187312466408 0.345088393266079 0.311130260948995 0.349404027913159 0.328721574850613 0.620205621992563 0.353629416457129 0.398192685066014 0.318986023530274 0.433273205055643 0.276962637949195 0.447159671998953 0.403137001587158 0.318877624551829 0.257356458438419 0.370597054569883 0.403461649478006 0.359611754760731 1.32449774843963 1.25870193800869 1.29793985417384 1.19587675638665 1.19627997028856 1.40232459545016 1.60790438309744 1.54007466576874 0.505282011535206 1.10047535393283 1.08032365713327 0.59829553968101 0.246349955322835 0.327210473418903 0.303732680014742
|
||||||
|
Al (vi) 1.74791037980584 1.34349648179927 1.34436593711445 1.28937857759042 1.27271508985709 1.2033095164389 1.22829701384197 0.803611053526665 0.602741049046181 0.895348347630978 1.0239106639883 1.02334251717134 1.03350201423128 0.976808916850934 1.32239104480213 1.42669502418355 1.41394709734442 1.39706921721595 1.35371764042877 1.30996665202343 1.22308886742955 1.1525484796713 0.881750123558456 1.32145376636871 1.24472981086873 1.26601793376856 1.33443728114338 0.976993949443575 0.82897264994853 0.837403150612387 1.41298027039234 1.45266468208903 1.39307155029634 1.37198822682148 1.2830570595143 1.37706097406316 1.2454933797397 1.27042358958718 1.10385060851776 0.915678660168757 0.903723174448463 1.48696583008407 1.37504764516274 1.2956723675947 0.762055964856206 0.603198270035297 0.470375922080046 0.496910816778194 1.54410092366639 1.47126018385118 1.44799487512134 1.31896152413539 1.36336161435732 1.39280911709791 1.31292300266436 1.14669041153757 1.36820806821928 1.27897483345219 1.32011814900904 1.22265769666829 1.3784136968127 1.20726257533416 1.31339720508611 1.3646558937751 1.4350383479321 1.24281673273374 1.2340357656236 1.29801329059426 0.144475455643813 0.253179259915687 0.265909524205712 0.282541006058353 0.291017591003584 0.810272603510621 0.622012381914396 0.420188235749915 1.19961584594336 0.855091117230516 0.9216006831554 1.00800053725834 1.45175578408793 1.36103426245815 1.38259411407457"""
|
||||||
|
]
|
||||||
|
|
||||||
def _convert(d):
|
def _convert(d):
|
||||||
dat = []
|
dat = []
|
||||||
@@ -53,3 +66,10 @@ def get_data():
|
|||||||
return data
|
return data
|
||||||
|
|
||||||
data = get_data()
|
data = get_data()
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
for entry in data:
|
||||||
|
print(entry)
|
||||||
|
for k in ['zones', 'index', 'al4', 'al6']:
|
||||||
|
print(k, len(data[entry][k]))
|
||||||
|
|
||||||
|
|||||||
@@ -3,6 +3,7 @@ import matplotlib.pyplot as pp
|
|||||||
import numpy as np
|
import numpy as np
|
||||||
import data_ternary
|
import data_ternary
|
||||||
import data_udiagram
|
import data_udiagram
|
||||||
|
import data_ediagram
|
||||||
|
|
||||||
def plotTdiagram():
|
def plotTdiagram():
|
||||||
scale = 100
|
scale = 100
|
||||||
@@ -75,44 +76,13 @@ def plotTdiagram():
|
|||||||
|
|
||||||
def plotUdiagram():
|
def plotUdiagram():
|
||||||
|
|
||||||
figures = {}
|
|
||||||
figures["E11-9a_amph_E11_ab"] = pp.subplots(1)
|
|
||||||
figures["Fro5-2_amph_Fro_i"] = pp.subplots(1)
|
|
||||||
figures["Fro5-2_amph_Fro_j"] = pp.subplots(1)
|
|
||||||
figures["Fro5-2_amph_Fro_k"] = pp.subplots(1)
|
|
||||||
figures["Fro5-2_amph_Fro_l"] = pp.subplots(1)
|
|
||||||
figures["Fro5-2_amph_Fro_m"] = pp.subplots(1)
|
|
||||||
figures["Fro5-2_amph_Fro_o"] = pp.subplots(1)
|
|
||||||
figures["Fro12-4_amph_Fro_ad"] = pp.subplots(1)
|
|
||||||
figures["Fro12-4_amph_Fro_ah"] = pp.subplots(1)
|
|
||||||
figures["Fro12-4_amph_Fro_ai"] = pp.subplots(1)
|
|
||||||
figures["Fro12-4_amph_Fro_aj"] = pp.subplots(1)
|
|
||||||
figures["Fro1312b1_amph_Fro_bb"] = pp.subplots(1)
|
|
||||||
figures["Fro1312b1_amph_Fro_be"] = pp.subplots(1)
|
|
||||||
figures["Fro1312b1_amph_Fro_bi"] = pp.subplots(1)
|
|
||||||
figures["Rane10-3_amph_Rane_a"] = pp.subplots(1)
|
|
||||||
figures["Rane10-3_amph_Rane_b"] = pp.subplots(1)
|
|
||||||
figures["Rane10-3_amph_Rane_c"] = pp.subplots(1)
|
|
||||||
figures["Rane10-3_amph_Rane_e"] = pp.subplots(1)
|
|
||||||
figures["Rane10-3_amph_Rane_f"] = pp.subplots(1)
|
|
||||||
figures["Rane10-4_amph_Rane_g"] = pp.subplots(1)
|
|
||||||
figures["Rane10-4_amph_Rane_l"] = pp.subplots(1)
|
|
||||||
figures["Rane10-4_amph_Rane_m"] = pp.subplots(1)
|
|
||||||
figures["Rane10-10_amph_Rane_p"] = pp.subplots(1)
|
|
||||||
figures["Rane10-10_amph_Rane_q"] = pp.subplots(1)
|
|
||||||
figures["Rane10-10_amph_Rane_r"] = pp.subplots(1)
|
|
||||||
figures["Rane10-10_amph_Rane_s"] = pp.subplots(1)
|
|
||||||
figures["Rane10-10_amph_Rane_t"] = pp.subplots(1)
|
|
||||||
figures["Rane10-10_amph_Rane_u"] = pp.subplots(1)
|
|
||||||
figures["Rane10-10_amph_Rane_v"] = pp.subplots(1)
|
|
||||||
figures["Rane10-10_amph_Rane_w"] = pp.subplots(1)
|
|
||||||
|
|
||||||
for g in data_udiagram.data.keys():
|
for g in data_udiagram.data.keys():
|
||||||
|
|
||||||
dat = data_udiagram.data[g]
|
dat = data_udiagram.data[g]
|
||||||
|
|
||||||
for i, zone in enumerate(dat['zones']):
|
for i, zone in enumerate(dat['zones']):
|
||||||
fig, ax = figures[f"{g}_{zone}"]
|
name = f"{g}_{zone}"
|
||||||
|
fig, ax = pp.subplots(1, num=name)
|
||||||
ax.plot(dat['index'][i], dat['al4'][i], label="Al(IV)", color="blue", marker=".")
|
ax.plot(dat['index'][i], dat['al4'][i], label="Al(IV)", color="blue", marker=".")
|
||||||
ax.plot(dat['index'][i], dat['al6'][i], label="Al(VI)", color="orange", marker=".")
|
ax.plot(dat['index'][i], dat['al6'][i], label="Al(VI)", color="orange", marker=".")
|
||||||
ax.set_xlabel("No.")
|
ax.set_xlabel("No.")
|
||||||
@@ -123,13 +93,11 @@ def plotUdiagram():
|
|||||||
|
|
||||||
fig.savefig(f"uplot_{g}_{zone}.png")
|
fig.savefig(f"uplot_{g}_{zone}.png")
|
||||||
|
|
||||||
pp.show()
|
#pp.show()
|
||||||
|
|
||||||
|
|
||||||
def plotZdiagram():
|
def plotZdiagram():
|
||||||
|
|
||||||
#fig, ax = pp.subplots(1)
|
|
||||||
|
|
||||||
for g in data_udiagram.data.keys():
|
for g in data_udiagram.data.keys():
|
||||||
|
|
||||||
fig, ax = pp.subplots(1, num=g)
|
fig, ax = pp.subplots(1, num=g)
|
||||||
@@ -145,8 +113,51 @@ def plotZdiagram():
|
|||||||
|
|
||||||
fig.savefig(f"zplot_{g}.png")
|
fig.savefig(f"zplot_{g}.png")
|
||||||
|
|
||||||
pp.show()
|
#pp.show()
|
||||||
|
|
||||||
|
def plotEdiagram():
|
||||||
|
|
||||||
|
#line = [[2.75, 1], [2,.75, 0]]
|
||||||
|
line = [[2.75, 2.075], [1, 0]]
|
||||||
|
labelpositions = {
|
||||||
|
"Epi_E_a": [[2.1,0.8], [2.4,0.1]],
|
||||||
|
"Epi_E_d": [[2.1,0.4], [2.4,0.1]],
|
||||||
|
"Epi_E_h": [[2.1,0.5], [2.4,0.1]],
|
||||||
|
"Epi_E_k": [[1.8,0.4], [2.4,0.1]],
|
||||||
|
"Epi_Fro_a": [[2.1,0.5], [2.4,0.1]],
|
||||||
|
"Epi_Fro_d": [[2.01,0.5], [2.4,0.1]],
|
||||||
|
"Epi_Fro_g": [[2.1,0.8], [2.4,0.1]],
|
||||||
|
"Epi_Fro_k": [[2.1,0.8], [2.4,0.1]],
|
||||||
|
"Epi_Fro_n": [[2,0.5], [2.4,0.1]],
|
||||||
|
"Epi_Fro_q": [[2.1,0.4], [2.4,0.1]],
|
||||||
|
"Epi_Fro_u": [[2.08,0.3], [2.4,0.1]],
|
||||||
|
"Epi_Rane_a": [[2.1,0.8], [2.225,0.02]],
|
||||||
|
"Epi_Rane_d": [[1.7,0.3], [2.4,0.1]],
|
||||||
|
}
|
||||||
|
|
||||||
|
for dataset in data_ediagram.data:
|
||||||
|
#print(dataset)
|
||||||
|
firstname = dataset['labels'][0]
|
||||||
|
fig, ax = pp.subplots(1, num=firstname)
|
||||||
|
ax.plot(line[0], line[1], color="k")
|
||||||
|
|
||||||
|
lens = list(map(len, dataset['al']))
|
||||||
|
for idx in range(len(lens)):
|
||||||
|
labelidx = sum(lens[:idx])
|
||||||
|
label = dataset['labels'][labelidx]
|
||||||
|
aldata = dataset['al'][idx]
|
||||||
|
fedata = dataset['fe'][idx]
|
||||||
|
|
||||||
|
ax.plot(aldata, fedata, linestyle="", marker="o", label=label)
|
||||||
|
|
||||||
|
ax.annotate("Epidote", labelpositions[firstname][0])
|
||||||
|
ax.annotate("Zoisite/Clinozoisite", labelpositions[firstname][1])
|
||||||
|
ax.legend(frameon=False)
|
||||||
|
ax.set_xlabel("Al")
|
||||||
|
ax.set_ylabel("Fe+3")
|
||||||
|
|
||||||
|
fig.savefig(f"eplot_{firstname}")
|
||||||
|
pp.show()
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
pass
|
pass
|
||||||
@@ -154,3 +165,4 @@ if __name__ == "__main__":
|
|||||||
#plotTdiagram()
|
#plotTdiagram()
|
||||||
plotUdiagram()
|
plotUdiagram()
|
||||||
plotZdiagram()
|
plotZdiagram()
|
||||||
|
#plotEdiagram()
|
||||||
|
|||||||
BIN
rawdata_epidote.ods
Normal file
BIN
rawdata_epidote.ods
Normal file
Binary file not shown.
Binary file not shown.
BIN
rawdata_uplot_secondbatch.ods
Normal file
BIN
rawdata_uplot_secondbatch.ods
Normal file
Binary file not shown.
Reference in New Issue
Block a user