我有一个关于用matplotlib绘制二维数组的问题。在我的代码中,我有一个2D数组,名为len(z)=20,z的值为:

[[ 642.3774486 662.59980588 706.80142179 764.78786911 831.67963477

904.67872269 982.01426528 1062.49208551 1145.27029231 1229.73549967

1315.42936618 1402.00251422 1489.18433714 1576.7625077 1664.56866033

1752.46813939 1840.35250424 1928.13395024 2015.74109019 2103.11572013]

[ 554.60565024 560.31827232 591.87923587 638.51633542 695.03697015

758.44479983 826.83191468 898.90395242 973.74278531 1050.67523901

1129.19496311 1208.91328775 1289.52693752 1370.79606051 1452.52883572

1534.57042218 1616.79485775 1699.09901217 1781.39800199 1863.6216653 ]

[ 484.80770831 476.01059519 494.93090638 530.21865818 576.36816197

630.18473341 689.62342052 753.28967576 820.18913475 889.58883479

960.93441647 1033.79791772 1107.84339435 1182.80346976 1258.46286755

1334.64656142 1411.2110677 1488.03793055 1565.02877024 1642.1014669 ]

[ 432.98362283 409.67677451 415.95643334 439.89483737 475.67321023

519.89852343 570.3887828 625.64925554 684.60934062 746.47628701

810.64772628 876.65640413 944.13370762 1012.78473545 1082.37075581

1152.6965571 1223.60113409 1294.95070536 1366.63339492 1438.55512495]

[ 399.13339379 361.31681026 354.95581673 367.54487301 392.95211493

427.58616989 469.12800152 515.98269176 567.00340294 621.33759567

678.33489253 737.48874699 798.39787733 860.73985757 924.25250052

988.72040921 1053.96505692 1119.83733661 1186.21187604 1252.98263943]

[ 383.25702119 330.93070245 311.92905657 313.16876508 328.20487607

353.24767279 385.84107667 424.28998442 467.37132169 514.17276077

563.99591521 616.29494628 670.63590348 726.66883614 784.10810167

842.71811777 902.30283619 962.6978243 1023.76421361 1085.38401036]

[ 385.35450503 318.51845109 286.87615284 276.7665136 281.43149365

296.88303213 320.52800827 350.57113352 385.71309689 424.98178231

467.63079434 513.07500201 560.84778607 610.57167115 661.93755925

714.68968276 768.6144719 823.53216843 879.29040761 935.75923772]

[ 405.4258453 324.08005616 279.79710556 258.33811855 252.63196767

258.49224791 273.18879631 294.82613906 322.02872853 353.76466029

389.23952991 427.82891418 469.0335251 512.44836259 557.74087328

604.6351042 652.89996405 702.340369 752.79045805 804.10832153]

[ 443.47104202 347.61551768 290.69191471 257.88357994 241.80629812

238.07532013 243.82344079 257.05500104 276.3182166 300.52139471

328.82212191 360.55668279 395.19312056 432.29891048 471.51804375

512.55438207 555.15931264 599.12242601 644.26436494 690.43126177]

[ 499.49009518 389.12483563 319.56058031 275.40289778 248.95448502

235.63224878 232.43194171 237.25771947 248.58156112 265.25198557

286.37857036 311.25830784 339.32657247 370.12331481 403.26907065

438.44751639 475.39251767 513.87833946 553.71212826 594.72805845]

[ 573.48300477 448.60801002 366.40310234 310.89607205 274.07652836

251.16303388 239.01429907 235.43429433 238.81876207 247.95643287

261.90887525 279.93378933 301.43388082 325.92157557 352.993954

382.31450714 413.59957914 446.60810935 481.13374802 516.99871158]

[ 665.44977081 526.06504086 431.21948081 364.36310276 317.17242814

284.66767542 263.57051287 251.58472563 247.02981947 248.63473661

255.41303657 266.58312726 281.51504561 299.69369278 320.69269378

344.15535434 369.78049705 397.31173568 426.52922422 457.24322114]

[ 775.39039329 621.49592813 514.00971573 435.80398992 378.24218436

336.1461734 306.10058311 285.70901337 273.2147333 267.28689679

266.89105434 271.20632163 279.57006684 291.43966643 306.36529001

323.97005797 343.9352714 365.98921845 389.89855687 415.46158715]

[ 903.3048722 734.90067184 614.77380708 525.21873351 457.28579702

405.59852782 366.60450978 337.80715755 317.37350358 303.91291341

296.34292854 293.80337244 295.5989445 301.15949651 310.01174267

321.75861805 336.06390219 352.64055766 371.24174595 391.65380959]

[1049.19320756 866.27927199 733.51175488 632.60733354 554.30326611

493.02473868 445.0822929 407.87915817 379.50613029 358.51278647

343.76865919 334.37427969 329.60167861 328.85318304 331.63205178

337.52103456 346.16638942 357.26575331 370.55879147 385.81988847]

[1213.05539936 1015.63172859 870.22355911 757.96979001 669.29459165

598.42480597 541.53393246 495.92501523 459.61261345 431.08651597

409.16824628 392.91904338 381.57826916 374.520726 371.22621733

371.25730752 374.24273309 379.8648054 387.84969343 397.9598238 ]

[1394.89144759 1182.95804162 1024.90921978 901.30610293 802.25977363

721.79872971 655.95942846 601.94472873 557.69295304 521.63410191

492.5416898 469.43766351 451.52871614 438.16212541 428.79423931

422.96743691 420.2929332 420.43771393 423.11445184 428.07361556]

[1594.70135227 1368.25821109 1197.5687369 1062.61627228 953.19881205

863.14650989 788.3587809 725.93829867 673.74714907 630.15554429

593.88898977 563.93014008 539.45301957 519.77738125 504.33611774

492.65142275 484.31698975 478.9844789 476.35306668 476.16126376]

[1812.48511338 1571.532237 1388.20211045 1241.90029807 1122.11170691

1022.46814651 938.73198977 867.90572504 807.77520155 756.65084311

713.21014617 676.39647309 645.35117944 619.36649354 597.8518526

580.30926502 566.31490274 555.50510031 547.56553796 542.22276841]

[2048.24273094 1792.78011936 1596.80934044 1439.1581803 1308.9984582

1199.76363956 1107.07905509 1027.84700786 959.77711046 901.11999837

850.50515902 806.83666254 769.22319574 736.92946227 709.34144391

685.94096373 666.28667217 649.99957816 636.75186568 626.25812949]]

M = np.arange(15.5,16.5, 0.05)

plt.plot(M, Z[0], label = r'$\chi^2$ for $\Omega_m[0] $ ')

它给了我以下图表(忽略蓝色标签,有两个相同的数据,只有一个标签):

然后我尝试了下面的代码,它给了我另一张图片。

plt.plot(M, Z[0:20], label = r'$\chi^2$ for$\Omege_m = 0$ ')

但我不明白为什么在相同的数据下,两张图片的函数形状明显不同。有人能解释一下为什么第二幅图和第一幅图不同,它到底画了什么?matplotlib如何绘制二维数组?

如果我能解释一下z的背景,它是一个依赖于两个参数的函数,M和ΩμM,

Omega_m = np.arange(0.0, 1.0, 0.05)

1

对应于m的Ωm的每个值的Z函数的20个值

等,直到为每个参数的每个值计算出函数为止。