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4_Data_Structure_2.ipynb 25 kB

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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "# 数据结构 - 2\n",
  8. "\n",
  9. "## 1. 字符串"
  10. ]
  11. },
  12. {
  13. "cell_type": "markdown",
  14. "metadata": {},
  15. "source": [
  16. "字符串是基于文本的有序数据,用单/双/三重引号括起来表示。"
  17. ]
  18. },
  19. {
  20. "cell_type": "code",
  21. "execution_count": 2,
  22. "metadata": {
  23. "collapsed": true
  24. },
  25. "outputs": [],
  26. "source": [
  27. "String0 = 'Taj Mahal is beautiful'\n",
  28. "String1 = \"Taj Mahal is beautiful\"\n",
  29. "String2 = '''Taj Mahal\n",
  30. "is\n",
  31. "beautiful'''"
  32. ]
  33. },
  34. {
  35. "cell_type": "code",
  36. "execution_count": 2,
  37. "metadata": {},
  38. "outputs": [
  39. {
  40. "name": "stdout",
  41. "output_type": "stream",
  42. "text": [
  43. "Taj Mahal is beautiful <class 'str'>\n",
  44. "Taj Mahal is beautiful <class 'str'>\n",
  45. "Taj Mahal\n",
  46. "is\n",
  47. "beautiful <class 'str'>\n"
  48. ]
  49. }
  50. ],
  51. "source": [
  52. "print(String0, type(String0))\n",
  53. "print(String1, type(String1))\n",
  54. "print(String2, type(String2))"
  55. ]
  56. },
  57. {
  58. "cell_type": "markdown",
  59. "metadata": {},
  60. "source": [
  61. "字符串索引和分段类似于前面详细解释过的列表。"
  62. ]
  63. },
  64. {
  65. "cell_type": "code",
  66. "execution_count": 3,
  67. "metadata": {},
  68. "outputs": [
  69. {
  70. "name": "stdout",
  71. "output_type": "stream",
  72. "text": [
  73. "M\n",
  74. "Mahal is beautiful\n"
  75. ]
  76. }
  77. ],
  78. "source": [
  79. "print(String0[4])\n",
  80. "print(String0[4:])"
  81. ]
  82. },
  83. {
  84. "cell_type": "markdown",
  85. "metadata": {},
  86. "source": [
  87. "### 1.1 内置函数"
  88. ]
  89. },
  90. {
  91. "cell_type": "markdown",
  92. "metadata": {},
  93. "source": [
  94. "**find( )** 函数返回要在字符串中找到的给定数据的索引值。如果没有找到它,它返回 **-1**。记住不要将返回的-1与反向索引值混淆。"
  95. ]
  96. },
  97. {
  98. "cell_type": "code",
  99. "execution_count": 3,
  100. "metadata": {},
  101. "outputs": [
  102. {
  103. "name": "stdout",
  104. "output_type": "stream",
  105. "text": [
  106. "Taj Mahal is beautiful\n",
  107. "7\n",
  108. "-1\n"
  109. ]
  110. }
  111. ],
  112. "source": [
  113. "print(String0)\n",
  114. "print(String0.find('al'))\n",
  115. "print(String0.find('am'))"
  116. ]
  117. },
  118. {
  119. "cell_type": "markdown",
  120. "metadata": {},
  121. "source": [
  122. "返回的索引值是输入数据中第一个元素的索引。"
  123. ]
  124. },
  125. {
  126. "cell_type": "code",
  127. "execution_count": 4,
  128. "metadata": {},
  129. "outputs": [
  130. {
  131. "name": "stdout",
  132. "output_type": "stream",
  133. "text": [
  134. "a\n"
  135. ]
  136. }
  137. ],
  138. "source": [
  139. "print(String0[7])"
  140. ]
  141. },
  142. {
  143. "cell_type": "markdown",
  144. "metadata": {},
  145. "source": [
  146. "还可以输入**find()** 函数,在它们之间搜索索引值。"
  147. ]
  148. },
  149. {
  150. "cell_type": "code",
  151. "execution_count": 5,
  152. "metadata": {},
  153. "outputs": [
  154. {
  155. "name": "stdout",
  156. "output_type": "stream",
  157. "text": [
  158. "2\n",
  159. "2\n"
  160. ]
  161. }
  162. ],
  163. "source": [
  164. "print(String0.find('j',1))\n",
  165. "print(String0.find('j',1,3))"
  166. ]
  167. },
  168. {
  169. "cell_type": "markdown",
  170. "metadata": {},
  171. "source": [
  172. "**capitalize( )** 用于将字符串中的第一个元素大写。"
  173. ]
  174. },
  175. {
  176. "cell_type": "code",
  177. "execution_count": 6,
  178. "metadata": {},
  179. "outputs": [
  180. {
  181. "name": "stdout",
  182. "output_type": "stream",
  183. "text": [
  184. "Observe the first letter in this sentence. can you change this sentence\n"
  185. ]
  186. }
  187. ],
  188. "source": [
  189. "String3 = 'observe the first letter in this sentence. can you change this sentence'\n",
  190. "print(String3.capitalize())"
  191. ]
  192. },
  193. {
  194. "cell_type": "markdown",
  195. "metadata": {},
  196. "source": [
  197. "**center( )** 用于通过指定字段宽度将字符串居中对齐。"
  198. ]
  199. },
  200. {
  201. "cell_type": "code",
  202. "execution_count": 7,
  203. "metadata": {},
  204. "outputs": [
  205. {
  206. "data": {
  207. "text/plain": [
  208. "' Taj Mahal is beautiful '"
  209. ]
  210. },
  211. "execution_count": 7,
  212. "metadata": {},
  213. "output_type": "execute_result"
  214. }
  215. ],
  216. "source": [
  217. "String0.center(70)"
  218. ]
  219. },
  220. {
  221. "cell_type": "markdown",
  222. "metadata": {},
  223. "source": [
  224. "One can also fill the left out spaces with any other character."
  225. ]
  226. },
  227. {
  228. "cell_type": "code",
  229. "execution_count": 8,
  230. "metadata": {},
  231. "outputs": [
  232. {
  233. "data": {
  234. "text/plain": [
  235. "'------------------------Taj Mahal is beautiful------------------------'"
  236. ]
  237. },
  238. "execution_count": 8,
  239. "metadata": {},
  240. "output_type": "execute_result"
  241. }
  242. ],
  243. "source": [
  244. "String0.center(70,'-')"
  245. ]
  246. },
  247. {
  248. "cell_type": "markdown",
  249. "metadata": {},
  250. "source": [
  251. "**zfill( )** 通过指定字段宽度来填充零。"
  252. ]
  253. },
  254. {
  255. "cell_type": "code",
  256. "execution_count": 9,
  257. "metadata": {},
  258. "outputs": [
  259. {
  260. "data": {
  261. "text/plain": [
  262. "'00000000Taj Mahal is beautiful'"
  263. ]
  264. },
  265. "execution_count": 9,
  266. "metadata": {},
  267. "output_type": "execute_result"
  268. }
  269. ],
  270. "source": [
  271. "String0.zfill(30)"
  272. ]
  273. },
  274. {
  275. "cell_type": "markdown",
  276. "metadata": {},
  277. "source": [
  278. "**expandtabs( )** 允许您更改制表符的间距。'\\t'默认设置为8个空格。"
  279. ]
  280. },
  281. {
  282. "cell_type": "code",
  283. "execution_count": 11,
  284. "metadata": {},
  285. "outputs": [
  286. {
  287. "name": "stdout",
  288. "output_type": "stream",
  289. "text": [
  290. "h\te\tl\tl\to\n",
  291. "h e l l o\n",
  292. "h e l l o\n"
  293. ]
  294. }
  295. ],
  296. "source": [
  297. "s = 'h\\te\\tl\\tl\\to'\n",
  298. "print(s)\n",
  299. "print(s.expandtabs(1))\n",
  300. "print(s.expandtabs(4))"
  301. ]
  302. },
  303. {
  304. "cell_type": "markdown",
  305. "metadata": {
  306. "collapsed": true
  307. },
  308. "source": [
  309. "**index( )** 和 **find( )** 函数的工作方式相同,唯一的区别在于 **find( )** 返回'-1',当输入元素在字符串中没有找到,但是**index( )** 函数会抛出一个ValueError。"
  310. ]
  311. },
  312. {
  313. "cell_type": "code",
  314. "execution_count": 13,
  315. "metadata": {},
  316. "outputs": [
  317. {
  318. "name": "stdout",
  319. "output_type": "stream",
  320. "text": [
  321. "0\n",
  322. "4\n"
  323. ]
  324. },
  325. {
  326. "ename": "ValueError",
  327. "evalue": "substring not found",
  328. "output_type": "error",
  329. "traceback": [
  330. "\u001b[0;31m------------------------------------------\u001b[0m",
  331. "\u001b[0;31mValueError\u001b[0mTraceback (most recent call last)",
  332. "\u001b[0;32m<ipython-input-13-a7d6b97b4839>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mString0\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Taj'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mString0\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Mahal'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mString0\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Mahal'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
  333. "\u001b[0;31mValueError\u001b[0m: substring not found"
  334. ]
  335. }
  336. ],
  337. "source": [
  338. "print(String0.index('Taj'))\n",
  339. "print(String0.index('Mahal',0))\n",
  340. "print(String0.index('Mahal',10,20))"
  341. ]
  342. },
  343. {
  344. "cell_type": "markdown",
  345. "metadata": {},
  346. "source": [
  347. "**endswith( )** 函数用于检查给定字符串是否以作为输入的特定字符结尾。"
  348. ]
  349. },
  350. {
  351. "cell_type": "code",
  352. "execution_count": 14,
  353. "metadata": {},
  354. "outputs": [
  355. {
  356. "name": "stdout",
  357. "output_type": "stream",
  358. "text": [
  359. "False\n"
  360. ]
  361. }
  362. ],
  363. "source": [
  364. "print(String0.endswith('y'))"
  365. ]
  366. },
  367. {
  368. "cell_type": "markdown",
  369. "metadata": {},
  370. "source": [
  371. "还可以指定开始和停止索引值。"
  372. ]
  373. },
  374. {
  375. "cell_type": "code",
  376. "execution_count": 15,
  377. "metadata": {},
  378. "outputs": [
  379. {
  380. "name": "stdout",
  381. "output_type": "stream",
  382. "text": [
  383. "True\n",
  384. "True\n"
  385. ]
  386. }
  387. ],
  388. "source": [
  389. "print(String0.endswith('l',0))\n",
  390. "print(String0.endswith('M',0,5))"
  391. ]
  392. },
  393. {
  394. "cell_type": "markdown",
  395. "metadata": {},
  396. "source": [
  397. "**count( )** 函数计算给定字符串中的字符数。也可以指定开始和停止索引或将其留空。(这些是隐式参数,将在函数中处理)"
  398. ]
  399. },
  400. {
  401. "cell_type": "code",
  402. "execution_count": 16,
  403. "metadata": {},
  404. "outputs": [
  405. {
  406. "name": "stdout",
  407. "output_type": "stream",
  408. "text": [
  409. "4\n",
  410. "2\n"
  411. ]
  412. }
  413. ],
  414. "source": [
  415. "print(String0.count('a',0))\n",
  416. "print(String0.count('a',5,10))"
  417. ]
  418. },
  419. {
  420. "cell_type": "markdown",
  421. "metadata": {},
  422. "source": [
  423. "**join( )** 函数在输入字符串的元素之间添加一个字符。"
  424. ]
  425. },
  426. {
  427. "cell_type": "code",
  428. "execution_count": 17,
  429. "metadata": {},
  430. "outputs": [
  431. {
  432. "data": {
  433. "text/plain": [
  434. "'*a_a-'"
  435. ]
  436. },
  437. "execution_count": 17,
  438. "metadata": {},
  439. "output_type": "execute_result"
  440. }
  441. ],
  442. "source": [
  443. "'a'.join('*_-')"
  444. ]
  445. },
  446. {
  447. "cell_type": "code",
  448. "execution_count": 18,
  449. "metadata": {},
  450. "outputs": [
  451. {
  452. "data": {
  453. "text/plain": [
  454. "'1\\n2'"
  455. ]
  456. },
  457. "execution_count": 18,
  458. "metadata": {},
  459. "output_type": "execute_result"
  460. }
  461. ],
  462. "source": [
  463. "'\\n'.join(['1', '2'])"
  464. ]
  465. },
  466. {
  467. "cell_type": "markdown",
  468. "metadata": {},
  469. "source": [
  470. "'*_-' 是输入字符串而字符'a'被添加在每一个元素之间。"
  471. ]
  472. },
  473. {
  474. "cell_type": "markdown",
  475. "metadata": {},
  476. "source": [
  477. "**join( )** 函数也可以被用来将列表转化为字符串。"
  478. ]
  479. },
  480. {
  481. "cell_type": "code",
  482. "execution_count": 19,
  483. "metadata": {},
  484. "outputs": [
  485. {
  486. "name": "stdout",
  487. "output_type": "stream",
  488. "text": [
  489. "['T', 'a', 'j', ' ', 'M', 'a', 'h', 'a', 'l', ' ', 'i', 's', ' ', 'b', 'e', 'a', 'u', 't', 'i', 'f', 'u', 'l']\n",
  490. "Taj Mahal is beautiful\n"
  491. ]
  492. }
  493. ],
  494. "source": [
  495. "a = list(String0)\n",
  496. "print(a)\n",
  497. "b = ''.join(a)\n",
  498. "print(b)"
  499. ]
  500. },
  501. {
  502. "cell_type": "markdown",
  503. "metadata": {},
  504. "source": [
  505. "在将它转化成字符串之前,**join( )** 函数可以被用来在列表元素中插入任意的字符。"
  506. ]
  507. },
  508. {
  509. "cell_type": "code",
  510. "execution_count": 20,
  511. "metadata": {},
  512. "outputs": [
  513. {
  514. "name": "stdout",
  515. "output_type": "stream",
  516. "text": [
  517. " /i/s/ /b/e/a/u/t/i/f/u/l\n"
  518. ]
  519. }
  520. ],
  521. "source": [
  522. "c = '/'.join(a)[18:]\n",
  523. "print(c)"
  524. ]
  525. },
  526. {
  527. "cell_type": "markdown",
  528. "metadata": {},
  529. "source": [
  530. "**split( )** 函数被用来将一个字符串转化为列表。把它想成与**join()** 相反地函数。"
  531. ]
  532. },
  533. {
  534. "cell_type": "code",
  535. "execution_count": 21,
  536. "metadata": {},
  537. "outputs": [
  538. {
  539. "name": "stdout",
  540. "output_type": "stream",
  541. "text": [
  542. "[' ', 'i', 's', ' ', 'b', 'e', 'a', 'u', 't', 'i', 'f', 'u', 'l']\n"
  543. ]
  544. }
  545. ],
  546. "source": [
  547. "d = c.split('/')\n",
  548. "print(d)"
  549. ]
  550. },
  551. {
  552. "cell_type": "markdown",
  553. "metadata": {},
  554. "source": [
  555. "在 **split( )** 函数中,还可以指定分割字符串的次数,或者新返回列表应该包含的元素数量。元素的数量总是比指定的数量多1,这是因为它被分割了指定的次数。"
  556. ]
  557. },
  558. {
  559. "cell_type": "code",
  560. "execution_count": 22,
  561. "metadata": {},
  562. "outputs": [
  563. {
  564. "name": "stdout",
  565. "output_type": "stream",
  566. "text": [
  567. "[' ', 'i', 's', ' /b/e/a/u/t/i/f/u/l']\n",
  568. "4\n"
  569. ]
  570. }
  571. ],
  572. "source": [
  573. "e = c.split('/',3)\n",
  574. "print(e)\n",
  575. "print(len(e))"
  576. ]
  577. },
  578. {
  579. "cell_type": "markdown",
  580. "metadata": {},
  581. "source": [
  582. "**lower( )** 将任何大写字母转换为小写字母。"
  583. ]
  584. },
  585. {
  586. "cell_type": "code",
  587. "execution_count": 23,
  588. "metadata": {},
  589. "outputs": [
  590. {
  591. "name": "stdout",
  592. "output_type": "stream",
  593. "text": [
  594. "Taj Mahal is beautiful\n",
  595. "taj mahal is beautiful\n"
  596. ]
  597. }
  598. ],
  599. "source": [
  600. "print(String0)\n",
  601. "print(String0.lower())"
  602. ]
  603. },
  604. {
  605. "cell_type": "markdown",
  606. "metadata": {},
  607. "source": [
  608. "**upper( )** 将任何小写字母转换为大写字母。"
  609. ]
  610. },
  611. {
  612. "cell_type": "code",
  613. "execution_count": 24,
  614. "metadata": {},
  615. "outputs": [
  616. {
  617. "data": {
  618. "text/plain": [
  619. "'TAJ MAHAL IS BEAUTIFUL'"
  620. ]
  621. },
  622. "execution_count": 24,
  623. "metadata": {},
  624. "output_type": "execute_result"
  625. }
  626. ],
  627. "source": [
  628. "String0.upper()"
  629. ]
  630. },
  631. {
  632. "cell_type": "markdown",
  633. "metadata": {},
  634. "source": [
  635. "**replace( )** 函数将该元素替换为另一个元素。"
  636. ]
  637. },
  638. {
  639. "cell_type": "code",
  640. "execution_count": 25,
  641. "metadata": {},
  642. "outputs": [
  643. {
  644. "data": {
  645. "text/plain": [
  646. "'Bengaluru is beautiful'"
  647. ]
  648. },
  649. "execution_count": 25,
  650. "metadata": {},
  651. "output_type": "execute_result"
  652. }
  653. ],
  654. "source": [
  655. "String0.replace('Taj Mahal','Bengaluru')"
  656. ]
  657. },
  658. {
  659. "cell_type": "markdown",
  660. "metadata": {},
  661. "source": [
  662. "**strip( )** 函数用于从右端和左端删除不需要的元素。"
  663. ]
  664. },
  665. {
  666. "cell_type": "code",
  667. "execution_count": 27,
  668. "metadata": {
  669. "collapsed": true
  670. },
  671. "outputs": [],
  672. "source": [
  673. "f = ' hello '"
  674. ]
  675. },
  676. {
  677. "cell_type": "markdown",
  678. "metadata": {},
  679. "source": [
  680. "如果没有指定字符,那么它将删除数据左边和右边的所有空格。"
  681. ]
  682. },
  683. {
  684. "cell_type": "code",
  685. "execution_count": 28,
  686. "metadata": {},
  687. "outputs": [
  688. {
  689. "data": {
  690. "text/plain": [
  691. "'hello'"
  692. ]
  693. },
  694. "execution_count": 28,
  695. "metadata": {},
  696. "output_type": "execute_result"
  697. }
  698. ],
  699. "source": [
  700. "f.strip()"
  701. ]
  702. },
  703. {
  704. "cell_type": "markdown",
  705. "metadata": {},
  706. "source": [
  707. "**strip( )** 函数,当指定字符时,如果该字符出现在指定字符串的两端,则删除该字符。"
  708. ]
  709. },
  710. {
  711. "cell_type": "code",
  712. "execution_count": 29,
  713. "metadata": {
  714. "collapsed": true
  715. },
  716. "outputs": [],
  717. "source": [
  718. "f = ' ***----hello---******* '"
  719. ]
  720. },
  721. {
  722. "cell_type": "code",
  723. "execution_count": 30,
  724. "metadata": {},
  725. "outputs": [
  726. {
  727. "data": {
  728. "text/plain": [
  729. "' ***----hello---******* '"
  730. ]
  731. },
  732. "execution_count": 30,
  733. "metadata": {},
  734. "output_type": "execute_result"
  735. }
  736. ],
  737. "source": [
  738. "f.strip('*')"
  739. ]
  740. },
  741. {
  742. "cell_type": "markdown",
  743. "metadata": {},
  744. "source": [
  745. "必须删除星号,但没有。这是因为在左边和右边都有一个空格。在strip函数中。字符需要按照它们出现的特定顺序输入。"
  746. ]
  747. },
  748. {
  749. "cell_type": "code",
  750. "execution_count": 31,
  751. "metadata": {},
  752. "outputs": [
  753. {
  754. "name": "stdout",
  755. "output_type": "stream",
  756. "text": [
  757. "----hello---\n",
  758. "hello\n"
  759. ]
  760. }
  761. ],
  762. "source": [
  763. "print(f.strip(' *'))\n",
  764. "print(f.strip(' *-'))"
  765. ]
  766. },
  767. {
  768. "cell_type": "markdown",
  769. "metadata": {},
  770. "source": [
  771. "**lstrip( )** 和 **rstrip( )** 函数具有与strip函数相同的功能,但唯一的区别是**lstrip()** 只删除左边的内容,而**rstrip()** 只删除右边的内容。"
  772. ]
  773. },
  774. {
  775. "cell_type": "code",
  776. "execution_count": 32,
  777. "metadata": {},
  778. "outputs": [
  779. {
  780. "name": "stdout",
  781. "output_type": "stream",
  782. "text": [
  783. "----hello---******* \n",
  784. " ***----hello---\n"
  785. ]
  786. }
  787. ],
  788. "source": [
  789. "print(f.lstrip(' *'))\n",
  790. "print(f.rstrip(' *'))"
  791. ]
  792. },
  793. {
  794. "cell_type": "markdown",
  795. "metadata": {},
  796. "source": [
  797. "## 2. 词典"
  798. ]
  799. },
  800. {
  801. "cell_type": "markdown",
  802. "metadata": {},
  803. "source": [
  804. "词典更像数据库,因为在这里你可以用用户定义的字符串索引特定的序列。"
  805. ]
  806. },
  807. {
  808. "cell_type": "markdown",
  809. "metadata": {},
  810. "source": [
  811. "为了定义一个词典,让一个变量和{ }或dict()相等。"
  812. ]
  813. },
  814. {
  815. "cell_type": "code",
  816. "execution_count": 2,
  817. "metadata": {},
  818. "outputs": [
  819. {
  820. "name": "stdout",
  821. "output_type": "stream",
  822. "text": [
  823. "<class 'dict'> <class 'dict'>\n"
  824. ]
  825. }
  826. ],
  827. "source": [
  828. "d0 = {}\n",
  829. "d1 = dict()\n",
  830. "print(type(d0), type(d1))"
  831. ]
  832. },
  833. {
  834. "cell_type": "markdown",
  835. "metadata": {},
  836. "source": [
  837. "词典的工作方式有点像列表,但增加了分配自己索引样式的功能。"
  838. ]
  839. },
  840. {
  841. "cell_type": "code",
  842. "execution_count": 3,
  843. "metadata": {},
  844. "outputs": [
  845. {
  846. "name": "stdout",
  847. "output_type": "stream",
  848. "text": [
  849. "{'One': 1, 'OneTwo': 12}\n"
  850. ]
  851. }
  852. ],
  853. "source": [
  854. "d0['One'] = 1\n",
  855. "d0['OneTwo'] = 12 \n",
  856. "print(d0)"
  857. ]
  858. },
  859. {
  860. "cell_type": "code",
  861. "execution_count": 36,
  862. "metadata": {},
  863. "outputs": [
  864. {
  865. "name": "stdout",
  866. "output_type": "stream",
  867. "text": [
  868. "{'key1': 1, 'key2': [1, 2, 4], 3: (1, 4, 6)}\n"
  869. ]
  870. }
  871. ],
  872. "source": [
  873. "d1 = {\"key1\":1, \"key2\":[1,2,4], 3:(1, 4, 6)}\n",
  874. "print(d1)"
  875. ]
  876. },
  877. {
  878. "cell_type": "markdown",
  879. "metadata": {},
  880. "source": [
  881. "这就是字典的样子。现在你可以通过设为'One'的索引值来访问'1'了"
  882. ]
  883. },
  884. {
  885. "cell_type": "code",
  886. "execution_count": 4,
  887. "metadata": {},
  888. "outputs": [
  889. {
  890. "name": "stdout",
  891. "output_type": "stream",
  892. "text": [
  893. "1\n"
  894. ]
  895. }
  896. ],
  897. "source": [
  898. "print(d0['One'])"
  899. ]
  900. },
  901. {
  902. "cell_type": "markdown",
  903. "metadata": {},
  904. "source": [
  905. "两个相关的列表可以合并成一个字典。"
  906. ]
  907. },
  908. {
  909. "cell_type": "code",
  910. "execution_count": 5,
  911. "metadata": {
  912. "collapsed": true
  913. },
  914. "outputs": [],
  915. "source": [
  916. "names = ['One', 'Two', 'Three', 'Four', 'Five']\n",
  917. "numbers = [1, 2, 3, 4, 5]"
  918. ]
  919. },
  920. {
  921. "cell_type": "markdown",
  922. "metadata": {},
  923. "source": [
  924. "**zip( )** 函数用来结合两个列表。"
  925. ]
  926. },
  927. {
  928. "cell_type": "code",
  929. "execution_count": 6,
  930. "metadata": {},
  931. "outputs": [
  932. {
  933. "name": "stdout",
  934. "output_type": "stream",
  935. "text": [
  936. "{'One': 1, 'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5}\n"
  937. ]
  938. }
  939. ],
  940. "source": [
  941. "d2 = zip(names,numbers)\n",
  942. "print(dict(d2))"
  943. ]
  944. },
  945. {
  946. "cell_type": "code",
  947. "execution_count": 7,
  948. "metadata": {},
  949. "outputs": [
  950. {
  951. "name": "stdout",
  952. "output_type": "stream",
  953. "text": [
  954. "{'One': 1, 'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5}\n"
  955. ]
  956. }
  957. ],
  958. "source": [
  959. "d3 = {names[i]:numbers[i] for i in range(len(names))}\n",
  960. "print(d3)"
  961. ]
  962. },
  963. {
  964. "cell_type": "markdown",
  965. "metadata": {},
  966. "source": [
  967. "这两个列表组合成一个列表,每个元素都与元组中来自另一个列表的各自元素相连。元组,因为它是被分配的,而且值不应该改变。\n",
  968. "\n",
  969. "进一步地,为了将上面的内容转化为词典。我们可以使用 **dict( )** 函数。"
  970. ]
  971. },
  972. {
  973. "cell_type": "code",
  974. "execution_count": 5,
  975. "metadata": {},
  976. "outputs": [
  977. {
  978. "name": "stdout",
  979. "output_type": "stream",
  980. "text": [
  981. "{'One': 1, 'Four': 4, 'Three': 3, 'Five': 5, 'Two': 2}\n"
  982. ]
  983. }
  984. ],
  985. "source": [
  986. "d2 = zip(names,numbers)\n",
  987. "\n",
  988. "a1 = dict(d2)\n",
  989. "print(a1)"
  990. ]
  991. },
  992. {
  993. "cell_type": "markdown",
  994. "metadata": {},
  995. "source": [
  996. "### 2.1 内置函数"
  997. ]
  998. },
  999. {
  1000. "cell_type": "markdown",
  1001. "metadata": {},
  1002. "source": [
  1003. "**clear( )** 函数被用于擦除所创建的整个数据库。"
  1004. ]
  1005. },
  1006. {
  1007. "cell_type": "code",
  1008. "execution_count": 8,
  1009. "metadata": {},
  1010. "outputs": [
  1011. {
  1012. "name": "stdout",
  1013. "output_type": "stream",
  1014. "text": [
  1015. "{}\n"
  1016. ]
  1017. }
  1018. ],
  1019. "source": [
  1020. "a1 = {1:10, 2:20}\n",
  1021. "a1.clear()\n",
  1022. "print(a1)"
  1023. ]
  1024. },
  1025. {
  1026. "cell_type": "markdown",
  1027. "metadata": {},
  1028. "source": [
  1029. "字典也可以使用循环来构建。"
  1030. ]
  1031. },
  1032. {
  1033. "cell_type": "code",
  1034. "execution_count": 9,
  1035. "metadata": {},
  1036. "outputs": [
  1037. {
  1038. "name": "stdout",
  1039. "output_type": "stream",
  1040. "text": [
  1041. "{'One': 1, 'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5}\n"
  1042. ]
  1043. }
  1044. ],
  1045. "source": [
  1046. "a1 = {names[i]:numbers[i] for i in range(len(names))}\n",
  1047. "print(a1)"
  1048. ]
  1049. },
  1050. {
  1051. "cell_type": "code",
  1052. "execution_count": 46,
  1053. "metadata": {},
  1054. "outputs": [
  1055. {
  1056. "name": "stdout",
  1057. "output_type": "stream",
  1058. "text": [
  1059. "{'One': 1, 'Two': 2, 'Three': 3, 'Four': 4, 'Five': 5}\n"
  1060. ]
  1061. }
  1062. ],
  1063. "source": [
  1064. "for i in range(len(names)):\n",
  1065. " a1[names[i]] = numbers[i]\n",
  1066. "print(a1)"
  1067. ]
  1068. },
  1069. {
  1070. "cell_type": "markdown",
  1071. "metadata": {},
  1072. "source": [
  1073. "**values( )** 函数返回了一个包含字典中所有赋值的列表"
  1074. ]
  1075. },
  1076. {
  1077. "cell_type": "code",
  1078. "execution_count": 10,
  1079. "metadata": {},
  1080. "outputs": [
  1081. {
  1082. "data": {
  1083. "text/plain": [
  1084. "dict_values([1, 2, 3, 4, 5])"
  1085. ]
  1086. },
  1087. "execution_count": 10,
  1088. "metadata": {},
  1089. "output_type": "execute_result"
  1090. }
  1091. ],
  1092. "source": [
  1093. "a1.values()"
  1094. ]
  1095. },
  1096. {
  1097. "cell_type": "markdown",
  1098. "metadata": {},
  1099. "source": [
  1100. "**keys( )** 函数返回包含赋值的所有索引或键。"
  1101. ]
  1102. },
  1103. {
  1104. "cell_type": "code",
  1105. "execution_count": 11,
  1106. "metadata": {},
  1107. "outputs": [
  1108. {
  1109. "data": {
  1110. "text/plain": [
  1111. "dict_keys(['One', 'Two', 'Three', 'Four', 'Five'])"
  1112. ]
  1113. },
  1114. "execution_count": 11,
  1115. "metadata": {},
  1116. "output_type": "execute_result"
  1117. }
  1118. ],
  1119. "source": [
  1120. "a1.keys()"
  1121. ]
  1122. },
  1123. {
  1124. "cell_type": "markdown",
  1125. "metadata": {},
  1126. "source": [
  1127. "**items()** 返回一个列表同时也包含该列表,但是字典中的每个元素都在一个元组中。这与使用zip函数得到的结果相同。"
  1128. ]
  1129. },
  1130. {
  1131. "cell_type": "code",
  1132. "execution_count": 12,
  1133. "metadata": {},
  1134. "outputs": [
  1135. {
  1136. "name": "stdout",
  1137. "output_type": "stream",
  1138. "text": [
  1139. "[ One] 1\n",
  1140. "[ Two] 2\n",
  1141. "[ Three] 3\n",
  1142. "[ Four] 4\n",
  1143. "[ Five] 5\n"
  1144. ]
  1145. }
  1146. ],
  1147. "source": [
  1148. "a1.items()\n",
  1149. "\n",
  1150. "for (k,v) in a1.items():\n",
  1151. " print(\"[%6s] %d\" % (k, v))"
  1152. ]
  1153. },
  1154. {
  1155. "cell_type": "markdown",
  1156. "metadata": {},
  1157. "source": [
  1158. "**pop()** 函数用于删除特定的元素,并且这个删除的元素可以被分配给一个新的变量。但是请记住,只存储值而不存储键。因为它只是一个索引值。"
  1159. ]
  1160. },
  1161. {
  1162. "cell_type": "code",
  1163. "execution_count": 13,
  1164. "metadata": {},
  1165. "outputs": [
  1166. {
  1167. "ename": "TypeError",
  1168. "evalue": "pop expected at least 1 arguments, got 0",
  1169. "output_type": "error",
  1170. "traceback": [
  1171. "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
  1172. "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
  1173. "\u001b[0;32m<ipython-input-13-a0907f1327c5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ma1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
  1174. "\u001b[0;31mTypeError\u001b[0m: pop expected at least 1 arguments, got 0"
  1175. ]
  1176. }
  1177. ],
  1178. "source": [
  1179. "a2 = a1.pop()\n",
  1180. "print(a1)\n",
  1181. "print(a2)"
  1182. ]
  1183. }
  1184. ],
  1185. "metadata": {
  1186. "kernelspec": {
  1187. "display_name": "Python 3",
  1188. "language": "python",
  1189. "name": "python3"
  1190. },
  1191. "language_info": {
  1192. "codemirror_mode": {
  1193. "name": "ipython",
  1194. "version": 3
  1195. },
  1196. "file_extension": ".py",
  1197. "mimetype": "text/x-python",
  1198. "name": "python",
  1199. "nbconvert_exporter": "python",
  1200. "pygments_lexer": "ipython3",
  1201. "version": "3.5.4"
  1202. }
  1203. },
  1204. "nbformat": 4,
  1205. "nbformat_minor": 1
  1206. }

机器学习越来越多应用到飞行器、机器人等领域,其目的是利用计算机实现类似人类的智能,从而实现装备的智能化与无人化。本课程旨在引导学生掌握机器学习的基本知识、典型方法与技术,通过具体的应用案例激发学生对该学科的兴趣,鼓励学生能够从人工智能的角度来分析、解决飞行器、机器人所面临的问题和挑战。本课程主要内容包括Python编程基础,机器学习模型,无监督学习、监督学习、深度学习基础知识与实现,并学习如何利用机器学习解决实际问题,从而全面提升自我的《综合能力》。