横向合并np.hstack
np.hstack((text_vector, metrics_vector))
纵向合并np.vstack
为什么有时候合并数组，会自动进行格式转换，变成科学计数法？有时候不会
数据中不能有英文
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****************************************************************************************************************************************************************************************************************************************************************************************
text_vector [-0.18992455 -0.18339466 -0.35619485 -0.36203784 0.66893834 0.5951446 0.20856068 0.31511265 0.05877858 -0.07247932 -0.2823635 0.04807574 -0.4578286 0.35536283 -0.00651226 0.27838096 -0.24682184 0.10489417 0.0685811 0.11039276 -0.10506605 0.06162719 0.3185524 -0.0634577 0.4878984 -0.09537577 0.6035988 0.10762688 0.29538673 -0.00197587 0.14684814 0.03416578 0.6114409 0.05777707 0.029915 -0.14718902 0.26296473 0.3832447 -0.36611027 -0.06912385 -0.09126817 -0.28503773 -0.11925694 -0.2742725 0.00245311 0.20572865 -0.14047468 0.00566665 0.11917641 -0.12027149 -0.19366115 -0.59029937 0.36700848 0.3816207 0.21427286 -0.26000693 -0.4088171 -0.547731 0.3210124 -0.23090759 0.0751342 -0.66175306 0.03842686 -0.4088023 -0.19047187 0.20921475 -0.6477849 -0.17293367 -0.08427292 0.5135873 -0.03740896 -0.07198936 0.2221073 -0.09452797 -0.08155932 -0.16575338 -0.15480208 0.04825988 0.08233605 0.05991058 0.36032528 -0.39691752 -0.3062443 -0.24579318 0.20030208 -0.08986253 -0.3419248 0.54970205 -0.42470458 0.2917594 -0.10383211 0.21744521 0.40917534 0.19540314 -0.09544819 0.3962966 ] metrics_vector [5 16.0 0.695652173913043 390.913043478261 1.17058487712665 1 0.0777777777777778 44 12] combined_vector [-0.18992455303668976 -0.183394655585289 -0.3561948537826538 -0.3620378375053406 0.6689383387565613 0.5951446294784546 0.20856067538261414 0.3151126503944397 0.05877858027815819 -0.07247932255268097 -0.28236350417137146 0.04807574301958084 -0.4578286111354828 0.35536283254623413 -0.0065122609958052635 0.27838096022605896 -0.2468218356370926 0.10489416867494583 0.06858109682798386 0.11039276421070099 -0.10506605356931686 0.061627186834812164 0.3185524046421051 -0.06345769762992859 0.48789840936660767 -0.09537576884031296 0.6035987734794617 0.10762687772512436 0.29538673162460327 -0.001975867198780179 0.1468481421470642 0.03416578471660614 0.611440896987915 0.05777707323431969 0.02991500310599804 -0.14718902111053467 0.26296472549438477 0.38324469327926636 -0.36611026525497437 -0.06912384927272797 -0.09126816689968109 -0.28503772616386414 -0.11925694346427917 -0.27427250146865845 0.0024531069211661816 0.2057286500930786 -0.14047467708587646 0.005666653160005808 0.11917641013860703 -0.12027148902416229 -0.1936611533164978 -0.5902993679046631 0.3670084774494171 0.38162070512771606 0.2142728567123413 -0.26000693440437317 -0.4088171124458313 -0.5477309823036194 0.321012407541275 -0.2309075891971588 0.07513420283794403 -0.6617530584335327 0.03842685744166374 -0.4088023006916046 -0.19047187268733978 0.20921474695205688 -0.6477848887443542 -0.1729336678981781 -0.08427292108535767 0.5135872960090637 -0.03740896284580231 -0.07198935747146606 0.22210730612277985 -0.094527967274189 -0.08155932277441025 -0.16575337946414948 -0.1548020839691162 0.048259884119033813 0.08233604580163956 0.05991057679057121 0.36032527685165405 -0.39691752195358276 -0.3062443137168884 -0.2457931786775589 0.20030207931995392 -0.08986253291368484 -0.341924786567688 0.5497020483016968 -0.42470458149909973 0.2917594015598297 -0.10383211076259613 0.21744520962238312 0.4091753363609314 0.19540314376354218 -0.09544818848371506 0.39629659056663513 5 16.0 0.695652173913043 390.913043478261 1.17058487712665 1 0.0777777777777778 44 12]
