直接输出下列代码结果：pythonimport numpy as npdata = nparray0、2714944、1179652、2095、126422、100469、1671424、44886、50815、6052、62221、21、10、449684、40、3488、11398、745554、18614、40581353corr_matrix = npcorrcoefdataprintco

[[1. 0.99582642 0.99300649 0.99355929 0.99757205 0.99746765 0.99318669 0.98823995 0.99721443 0.99322381 0.9898474 0.99232535 0.99339712 0.99356237 0.99361864 0.99346977 0.99361461 0.99356699 0.9935586 0.99534415] [0.99582642 1. 0.99412981 0.99490305 0.9990331 0.99856788 0.99571352 0.99181321 0.99816106 0.99483344 0.99246052 0.99404358 0.99492684 0.99492412 0.99516282 0.9944154 0.99514747 0.99496314 0.99545115 0.99773434] [0.99300649 0.99412981 1. 0.99467891 0.99440685 0.9944584 0.99946868 0.9962219 0.99444533 0.99905307 0.99659472 0.99592052 0.99947438 0.99947429 0.99947905 0.99947316 0.99947933 0.99947494 0.9994688 0.99461504] [0.99355929 0.99490305 0.99467891 1. 0.99494948 0.99486496 0.99468062 0.99259719 0.99486877 0.99468582 0.9936202 0.99422353 0.99469064 0.99474838 0.99473967 0.99470308 0.99473834 0.99474461 0.99467805 0.99511223] [0.99757205 0.9990331 0.99440685 0.99494948 1. 0.99948171 0.99473145 0.99086985 0.99930896 0.9948134 0.99375504 0.99502212 0.99494843 0.9949787 0.99505615 0.99498026 0.99505579 0.9950063 0.99505201 0.99755463] [0.99746765 0.99856788 0.9944584 0.99486496 0.99948171 1. 0.99465302 0.99063334 0.99930083 0.99476307 0.99369977 0.99496884 0.99486263 0.9948816 0.9949473 0.99489497 0.9949456 0.99490962 0.99494463 0.9974524 ] [0.99318669 0.99571352 0.99946868 0.99468062 0.99473145 0.99465302

1.     0.99735055 0.99463666 0.99911376 0.99669183 0.995992
   

0.99946843 0.99946832 0.99947308 0.99946719 0.99947345 0.99946897 0.99946284 0.99460953] [0.98823995 0.99181321 0.9962219 0.99259719 0.99086985 0.99063334 0.99735055 1. 0.99047335 0.99658187 0.99455134 0.99363691 0.99622131 0.99622119 0.99622709 0.99621947 0.99622764 0.99622295 0.9962156 0.99110636] [0.99721443 0.99816106 0.99444533 0.99486877 0.99930896 0.99930083 0.99463666 0.99047335 1. 0.99474154 0.99368611 0.99495588 0.9948654 0.99488518 0.9949471 0.99489203 0.99494547 0.99491073 0.99494526 0.99732911] [0.99322381 0.99483344 0.99905307 0.99468582 0.9948134 0.99476307 0.99911376 0.99658187 0.99474154 1. 0.99669722 0.99599795 0.99905948 0.99905939 0.99906415 0.99905826 0.99906454 0.99906015 0.99905401 0.99468019] [0.9898474 0.99246052 0.99659472 0.9936202 0.99375504 0.99369977 0.99669183 0.99455134 0.99368611 0.99669722 1. 0.99500672 0.9965941 0.99659398 0.99659984 0.99659224 0.99660041 0.99659571 0.99658831 0.99247099] [0.99232535 0.99404358 0.99592052 0.99422353 0.99502212 0.99496884 0.995992 0.99363691 0.99495588 0.99599795 0.99500672 1. 0.99592016 0.99592004 0.99592578 0.9959182 0.99592637 0.99592167 0.99591429 0.99408232] [0.99339712 0.99492684 0.99947438 0.99469064 0.99494843 0.99486263 0.99946843 0.99622131 0.9948654 0.99905948 0.9965941 0.99592016

1.     0.99947398 0.99947974 0.99947384 0.99948011 0.99947471
   

0.99946857 0.99461481] [0.99356237 0.99492412 0.99947429 0.99474838 0.9949787 0.9948816 0.99946832 0.99622119 0.99488518 0.99905939 0.99659398 0.99592004 0.99947398 1. 0.99947975 0.99947384 0.99948011 0.99947471 0.99946857 0.99462106] [0.99361864 0.99516282 0.99947905 0.99473967 0.99505615 0.9949473 0.99947308 0.99622709 0.9949471 0.99906415 0.99659984 0.99592578 0.99947974 0.99947975 1. 0.99947398 0.99948025 0.99947485 0.9994687 0.99462725] [0.99346977 0.9944154 0.99947316 0.99470308 0.99498026 0.99489497 0.99946719 0.99621947 0.99489203 0.99905826 0.99659224 0.9959182 0.99947384 0.99947384 0.99947398 1. 0.99948025 0.99947485 0.9994687 0.99461864] [0.99361461 0.99514747 0.99947933 0.99473834 0.99505579 0.9949456 0.99947345 0.99622764 0.99494547 0.99906454 0.99660041 0.99592637 0.99948011 0.99948011 0.99948025 0.99948025 1. 0.99947491 0.99946877 0.99462629] [0.99356699 0.99496314 0.99947494 0.99474461 0.9950063 0.99490962 0.99946897 0.99622295 0.99491073 0.99906015 0.99659571 0.99592167 0.99947471 0.99947471 0.99947485 0.99947485 0.99947491 1. 0.99946887 0.9946205 ] [0.9935586 0.99545115 0.9994688 0.99467805 0.99505201 0.99494463 0.99946284 0.9962156 0.99494526 0.99905401 0.99658831 0.99591429 0.99946857 0.99946857 0.9994687 0.9994687 0.99946877 0.99946887

1.     0.99461635]
   

[0.99534415 0.99773434 0.99461504 0.99511223 0.99755463 0.9974524 0.99460953 0.99110636 0.99732911 0.99468019 0.99247099 0.99408232 0.99461481 0.99462106 0.99462725 0.99461864 0.99462629 0.9946205 0.99461635 1. ]]