|
413 | 413 | "print(np.argmin(a, axis=1))" |
414 | 414 | ] |
415 | 415 | }, |
| 416 | + { |
| 417 | + "cell_type": "code", |
| 418 | + "execution_count": 44, |
| 419 | + "metadata": {}, |
| 420 | + "outputs": [ |
| 421 | + { |
| 422 | + "name": "stdout", |
| 423 | + "output_type": "stream", |
| 424 | + "text": [ |
| 425 | + "mean : 3.6666666666666665\n" |
| 426 | + ] |
| 427 | + } |
| 428 | + ], |
| 429 | + "source": [ |
| 430 | + "print(\"mean : {}\".format(np.mean(a))) # 求矩阵均值" |
| 431 | + ] |
| 432 | + }, |
| 433 | + { |
| 434 | + "cell_type": "code", |
| 435 | + "execution_count": 45, |
| 436 | + "metadata": {}, |
| 437 | + "outputs": [ |
| 438 | + { |
| 439 | + "name": "stdout", |
| 440 | + "output_type": "stream", |
| 441 | + "text": [ |
| 442 | + "mean : [1. 5.5 4.5]\n" |
| 443 | + ] |
| 444 | + } |
| 445 | + ], |
| 446 | + "source": [ |
| 447 | + "print(\"mean : {}\".format(np.mean(a, axis=0)))" |
| 448 | + ] |
| 449 | + }, |
| 450 | + { |
| 451 | + "cell_type": "code", |
| 452 | + "execution_count": 46, |
| 453 | + "metadata": {}, |
| 454 | + "outputs": [ |
| 455 | + { |
| 456 | + "name": "stdout", |
| 457 | + "output_type": "stream", |
| 458 | + "text": [ |
| 459 | + "3.5\n" |
| 460 | + ] |
| 461 | + } |
| 462 | + ], |
| 463 | + "source": [ |
| 464 | + "print(np.median(a))# 求矩阵中数据的中位数" |
| 465 | + ] |
| 466 | + }, |
| 467 | + { |
| 468 | + "cell_type": "markdown", |
| 469 | + "metadata": {}, |
| 470 | + "source": [ |
| 471 | + "# 3. 获取数据" |
| 472 | + ] |
| 473 | + }, |
| 474 | + { |
| 475 | + "cell_type": "code", |
| 476 | + "execution_count": 47, |
| 477 | + "metadata": {}, |
| 478 | + "outputs": [], |
| 479 | + "source": [ |
| 480 | + "import numpy as np" |
| 481 | + ] |
| 482 | + }, |
| 483 | + { |
| 484 | + "cell_type": "code", |
| 485 | + "execution_count": 48, |
| 486 | + "metadata": {}, |
| 487 | + "outputs": [ |
| 488 | + { |
| 489 | + "name": "stdout", |
| 490 | + "output_type": "stream", |
| 491 | + "text": [ |
| 492 | + "[1 2 3 4 5 6]\n", |
| 493 | + "[[1 2 3]\n", |
| 494 | + " [4 5 6]]\n" |
| 495 | + ] |
| 496 | + } |
| 497 | + ], |
| 498 | + "source": [ |
| 499 | + "a = np.arange(1,7)\n", |
| 500 | + "b = a.reshape((2,3))\n", |
| 501 | + "print(a)\n", |
| 502 | + "print(b)" |
| 503 | + ] |
| 504 | + }, |
| 505 | + { |
| 506 | + "cell_type": "code", |
| 507 | + "execution_count": 49, |
| 508 | + "metadata": {}, |
| 509 | + "outputs": [ |
| 510 | + { |
| 511 | + "data": { |
| 512 | + "text/plain": [ |
| 513 | + "4" |
| 514 | + ] |
| 515 | + }, |
| 516 | + "execution_count": 49, |
| 517 | + "metadata": {}, |
| 518 | + "output_type": "execute_result" |
| 519 | + } |
| 520 | + ], |
| 521 | + "source": [ |
| 522 | + "a[3]" |
| 523 | + ] |
| 524 | + }, |
| 525 | + { |
| 526 | + "cell_type": "code", |
| 527 | + "execution_count": 50, |
| 528 | + "metadata": {}, |
| 529 | + "outputs": [ |
| 530 | + { |
| 531 | + "data": { |
| 532 | + "text/plain": [ |
| 533 | + "array([1, 2, 3])" |
| 534 | + ] |
| 535 | + }, |
| 536 | + "execution_count": 50, |
| 537 | + "metadata": {}, |
| 538 | + "output_type": "execute_result" |
| 539 | + } |
| 540 | + ], |
| 541 | + "source": [ |
| 542 | + "b[0]" |
| 543 | + ] |
| 544 | + }, |
| 545 | + { |
| 546 | + "cell_type": "code", |
| 547 | + "execution_count": 51, |
| 548 | + "metadata": {}, |
| 549 | + "outputs": [ |
| 550 | + { |
| 551 | + "data": { |
| 552 | + "text/plain": [ |
| 553 | + "2" |
| 554 | + ] |
| 555 | + }, |
| 556 | + "execution_count": 51, |
| 557 | + "metadata": {}, |
| 558 | + "output_type": "execute_result" |
| 559 | + } |
| 560 | + ], |
| 561 | + "source": [ |
| 562 | + "b[0][1]" |
| 563 | + ] |
| 564 | + }, |
| 565 | + { |
| 566 | + "cell_type": "code", |
| 567 | + "execution_count": 52, |
| 568 | + "metadata": {}, |
| 569 | + "outputs": [ |
| 570 | + { |
| 571 | + "data": { |
| 572 | + "text/plain": [ |
| 573 | + "array([1, 2, 3])" |
| 574 | + ] |
| 575 | + }, |
| 576 | + "execution_count": 52, |
| 577 | + "metadata": {}, |
| 578 | + "output_type": "execute_result" |
| 579 | + } |
| 580 | + ], |
| 581 | + "source": [ |
| 582 | + "a[0:3]" |
| 583 | + ] |
| 584 | + }, |
| 585 | + { |
| 586 | + "cell_type": "code", |
| 587 | + "execution_count": 53, |
| 588 | + "metadata": {}, |
| 589 | + "outputs": [ |
| 590 | + { |
| 591 | + "data": { |
| 592 | + "text/plain": [ |
| 593 | + "array([4, 5])" |
| 594 | + ] |
| 595 | + }, |
| 596 | + "execution_count": 53, |
| 597 | + "metadata": {}, |
| 598 | + "output_type": "execute_result" |
| 599 | + } |
| 600 | + ], |
| 601 | + "source": [ |
| 602 | + "b[1,0:2]" |
| 603 | + ] |
| 604 | + }, |
| 605 | + { |
| 606 | + "cell_type": "markdown", |
| 607 | + "metadata": {}, |
| 608 | + "source": [ |
| 609 | + "# 4. 数组合并" |
| 610 | + ] |
| 611 | + }, |
416 | 612 | { |
417 | 613 | "cell_type": "code", |
418 | 614 | "execution_count": null, |
|
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