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使用python来读取超大型文件数据_python 读取超大文件

python 读取超大文件

    在实际应用中,几乎所有的数据分析工作都是从数据读取开始的,如果数据量太大导致数据文件读取失败了,这样后续的工作就没有办法进行了,在机器自身硬件内存限制的情况下,当文件量过大的时候直接使用read等函数来进行操作的时候就会报错,这里就需要采取一定的策略来尽可能地避免这样的问题产生,今天的工作中就遇上了这样的问题,需要处理的数据文件一共是6.86GB,电脑内存是8GB的,读取的时候就报错了,用read或者readlines函数都是需要将整个文件都读进内存中去的,这样就不行了,查了一些资料,也简单总结了一下,把处理方法在这里介绍一下,具体如下:
 

  1. #!usr/bin/env python
  2. #encoding:utf-8
  3. '''
  4. __Author__:沂水寒城
  5. 功能: 使用python来读取超大型文件
  6. 在机器自身硬件内存限制的情况下,当文件量过大的时候直接使用read等函数来进行操作的
  7. 时候就会报错,这里就需要采取一定的策略来避免这样的问题产生
  8. '''
  9. import linecache
  10. def readFunc1(data='test.txt'):
  11. '''
  12. 通过指定单次读取的数据大小长度
  13. '''
  14. myfile=open(data)
  15. while True:
  16. block=myfile.read(1024)
  17. if not block:
  18. break
  19. else:
  20. print block
  21. myfile.close()
  22. def readFunc2(data='test.txt'):
  23. '''
  24. 设定每次只读取一行
  25. '''
  26. myfile=open(data)
  27. while True:
  28. line=myfile.readline()
  29. if not line:
  30. break
  31. else:
  32. print line
  33. myfile.close()
  34. def readFunc3(data='test.txt'):
  35. '''
  36. 利用可迭代对象file,这样会自动的使用buffered IO以及内存管理
  37. '''
  38. with open(data,'r') as myflie:
  39. for line in myflie:
  40. if not line:
  41. break
  42. else:
  43. print line
  44. def readFunc4(data='test.txt'):
  45. '''
  46. 借助于第三方模块 linecache
  47. '''
  48. #读取全部数据
  49. all_text=linecache.getlines(data)
  50. #读取第二行数据,要注意linecache的读取索引是从1开始的,而不是从0开始的
  51. text=linecache.getline(data, 2)
  52. print 'line 2: ',text
  53. if __name__=='__main__':
  54. readFunc1(data='test.txt')
  55. readFunc2(data='test.txt')
  56. readFunc3(data='test.txt')
  57. readFunc4(data='test.txt')

  结果如下:

  

  1. {
  2. "11-06": {
  3. "temperate": {
  4. "day": {
  5. "today_temperate": "10\u2103",
  6. "now_temperate": "\u6c14\u6e29"
  7. },
  8. "three_hour": {
  9. "11-06-23:00": "17.4\u2103",
  10. "11-06-20:00": "18\u2103",
  11. "11-06-17:00": "18.4\u2103",
  12. "11-06-02:00": "20.4\u2103",
  13. "11-06-14:00": "18.7\u2103",
  14. "11-06-05:00": "17.9\u2103",
  15. "11-06-11:00": "19.8\u2103",
  16. "11-06-08:00": "17.5\u2103"
  17. }
  18. },
  19. "wind_speed": {
  20. "day": {
  21. "today_winds": "\u5fae\u98ce",
  22. "now_winds": "\u98ce\u5411\u98ce\u901f"
  23. },
  24. "three_hour": {
  25. "11-06-23:00": "0.9\u7c73/\u79d2",
  26. "11-06-20:00": "1.1\u7c73/\u79d2",
  27. "11-06-17:00": "2.3\u7c73/\u79d2",
  28. "11-06-02:00": "1.8\u7c73/\u79d2",
  29. "11-06-14:00": "2\u7c73/\u79d2",
  30. "11-06-05:00": "2.3\u7c73/\u79d2",
  31. "11-06-11:00": "2.2\u7c73/\u79d2",
  32. "11-06-08:00": "1\u7c73/\u79d2"
  33. }
  34. },
  35. "wind_direction": {
  36. "day": {
  37. "now_windd": "\u98ce\u5411\u98ce\u901f",
  38. "today_windd": "\u4e1c\u98ce"
  39. },
  40. "three_hour": {
  41. "11-06-23:00": "\u531
  42. 7\u98ce",
  43. "11-06-20:00": "\u4e1c\u5317\u98ce",
  44. "11-06-17:00": "\u4e1c\u98ce",
  45. "11-06-02:00": "\u4e1c\u98ce",
  46. "11-06-14:00": "\u4e1c\u5357\u98ce",
  47. "11-06-05:00": "\u4e1c\u98ce",
  48. "11-06-11:00": "\u4e1c\u5357\u98ce",
  49. "11-06-08:00": "\u4e1c\u98ce"
  50. }
  51. },
  52. "humidity": {
  53. "day": {
  54. "today_humidity": "null",
  55. "now_humidity": "\u76f8\u5bf9\u6e7f\u5ea6"
  56. },
  57. "three_hour": {
  58. "11-06-23:00": "93.8%",
  59. "11-06-20:00": "92.4%",
  60. "11-06-17:00": "92.8%",
  61. "11-06-02:00": "91.9%",
  62. "11-06-14:00": "93.2%",
  63. "11-06-05:00": "96.9%",
  64. "11-06-11:00": "91%",
  65. "11-06-08:00": "93.8%"
  66. }
  67. },
  68. "water": {
  69. "day": {
  70. "now_water": 0,
  71. "today_water": "null"
  72. },
  73. "three_hour": {
  74. "11-06-23:00": "0.4",
  75. "11-06-20:00": "0.8",
  76. "11-06-17:00": "1.1",
  77. "11-06-02:00": "0.3",
  78. "11-06-14:00": "2.3",
  79. "11-06-05:00": "0.2",
  80. "11-06-11:00": "0.6",
  81. "11-06-08:00": "0.4"
  82. }
  83. },
  84. "pressure": {
  85. "day": {
  86. "today_pressure": "null",
  87. "now_p
  88. ressure": "null"
  89. },
  90. "three_hour": {
  91. "11-06-23:00": "1009.6hPa",
  92. "11-06-20:00": "1009.2hPa",
  93. "11-06-17:00": "1008.2hPa",
  94. "11-06-02:00": "1009.8hPa",
  95. "11-06-14:00": "1008.3hPa",
  96. "11-06-05:00": "1009.4hPa",
  97. "11-06-11:00": "1010.3hPa",
  98. "11-06-08:00": "1010hPa"
  99. }
  100. },
  101. "weather": {
  102. "day": {
  103. "now_weather": "null",
  104. "weather_png_link": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/night/1.png",
  105. "today_weather": "\u591a\u4e91"
  106. },
  107. "three_hour": {
  108. "11-06-23:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  109. "11-06-20:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  110. "11-06-17:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  111. "11-06-02:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  112. "11-06-14:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  113. "11-06-05:00": "h
  114. ttp://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  115. "11-06-11:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  116. "11-06-08:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png"
  117. }
  118. },
  119. "cloud": {
  120. "day": {
  121. "now_cloud": "null",
  122. "today_cloud": "null"
  123. },
  124. "three_hour": {
  125. "11-06-23:00": "94.2%",
  126. "11-06-20:00": "90.6%",
  127. "11-06-17:00": "99.9%",
  128. "11-06-02:00": "93.1%",
  129. "11-06-14:00": "97.1%",
  130. "11-06-05:00": "98.8%",
  131. "11-06-11:00": "97.7%",
  132. "11-06-08:00": "96.2%"
  133. }
  134. }
  135. },
  136. "11-07": {
  137. "temperate": {
  138. "day": {
  139. "today_temperate": "10\u2103",
  140. "now_temperate": "\u6c14\u6e29"
  141. },
  142. "three_hour": {
  143. "11-07-20:00": "16.2\u2103",
  144. "11-07-23:00": "18.8\u2103",
  145. "11-07-05:00": "17.2\u2103",
  146. "11-07-08:00": "19.1\u2103",
  147. "11-07-11:00": "19.9\u2103",
  148. "11-07-14:00": "20.8\u2103",
  149. "11-07-02:00": "17.9\u2103",
  150. "11-07-17:00": "18\u2103"
  151. }
  152. },
  153. "
  154. wind_speed": {
  155. "day": {
  156. "today_winds": "\u5fae\u98ce",
  157. "now_winds": "\u98ce\u5411\u98ce\u901f"
  158. },
  159. "three_hour": {
  160. "11-07-20:00": "1.7\u7c73/\u79d2",
  161. "11-07-23:00": "0.9\u7c73/\u79d2",
  162. "11-07-05:00": "2\u7c73/\u79d2",
  163. "11-07-08:00": "1.7\u7c73/\u79d2",
  164. "11-07-11:00": "2.2\u7c73/\u79d2",
  165. "11-07-14:00": "2.2\u7c73/\u79d2",
  166. "11-07-02:00": "1.2\u7c73/\u79d2",
  167. "11-07-17:00": "2.2\u7c73/\u79d2"
  168. }
  169. },
  170. "wind_direction": {
  171. "day": {
  172. "now_windd": "\u98ce\u5411\u98ce\u901f",
  173. "today_windd": "\u4e1c\u98ce"
  174. },
  175. "three_hour": {
  176. "11-07-20:00": "\u897f\u5317\u98ce",
  177. "11-07-23:00": "\u897f\u5317\u98ce",
  178. "11-07-05:00": "\u897f\u98ce",
  179. "11-07-08:00": "\u897f\u5317\u98ce",
  180. "11-07-11:00": "\u897f\u5317\u98ce",
  181. "11-07-14:00": "\u897f\u5317\u98ce",
  182. "11-07-02:00": "\u897f\u5317\u98ce",
  183. "11-07-17:00": "\u897f\u5317\u98ce"
  184. }
  185. },
  186. "humidity": {
  187. "day": {
  188. "today_humidity": "null",
  189. "now_humidity": "\u76f8\u5bf9\u6e7f\u5ea6"
  190. },
  191. "three_hour": {
  192. "11-07-20:00": "82%",
  193. "11-07-23:00": "94.2%",
  194. "11-07-05:00": "98.8%",
  195. "11-07-08:00": "97.6%",
  196. "11-07-11:00": "94.4%",
  197. "11-07-14:00": "88%",
  198. "11-07-02:00": "96.5%",
  199. "11-07-17:00": "89.6%"
  200. }
  201. },
  202. "water": {
  203. "day": {
  204. "now_water": 0,
  205. "today_water": "null"
  206. },
  207. "three_hour": {
  208. "11-07-20:00": 0,
  209. "11-07-23:00": "0.1",
  210. "11-07-05:00": "0.2",
  211. "11-07-08:00": "0.4",
  212. "11-07-11:00": "0.3",
  213. "11-07-14:00": "0.2",
  214. "11-07-02:00": "0.3",
  215. "11-07-17:00": 0
  216. }
  217. },
  218. "pressure": {
  219. "day": {
  220. "today_pressure": "null",
  221. "now_pressure": "null"
  222. },
  223. "three_hour": {
  224. "11-07-20:00": "1010.6hPa",
  225. "11-07-23:00": "1010.4hPa",
  226. "11-07-05:00": "1009.3hPa",
  227. "11-07-08:00": "1010.3hPa",
  228. "11-07-11:00": "1011.5hPa",
  229. "11-07-14:00": "1009.6hPa",
  230. "11-07-02:00": "1009.5hPa",
  231. "11-07-17:00": "1009.8hPa"
  232. }
  233. },
  234. "weather": {
  235. "day": {
  236. "now_weather": "null",
  237. "weather_png_link": "http://imag
  238. e.nmc.cn/static2/site/nmc/themes/basic/weather/white/night/1.png",
  239. "today_weather": "\u591a\u4e91"
  240. },
  241. "three_hour": {
  242. "11-07-20:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/2.png",
  243. "11-07-23:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  244. "11-07-05:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  245. "11-07-08:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  246. "11-07-11:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  247. "11-07-14:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  248. "11-07-02:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  249. "11-07-17:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/2.png"
  250. }
  251. },
  252. "cloud": {
  253. "day": {
  254. "now_cloud": "null",
  255. "today_cloud": "null"
  256. },
  257. "three_hour": {
  258. "11-07-20:00":
  259. "95.9%",
  260. "11-07-23:00": "100%",
  261. "11-07-05:00": "62.1%",
  262. "11-07-08:00": "94.2%",
  263. "11-07-11:00": "98%",
  264. "11-07-14:00": "99.2%",
  265. "11-07-02:00": "98.6%",
  266. "11-07-17:00": "98.4%"
  267. }
  268. }
  269. },
  270. "11-04": {
  271. "temperate": {
  272. "day": {
  273. "today_temperate": "10\u2103",
  274. "now_temperate": "\u6c14\u6e29"
  275. },
  276. "three_hour": {
  277. "11-04-23:00": "16.3\u2103",
  278. "11-04-20:00": "15.8\u2103",
  279. "11-04-08:00": "14.7\u2103",
  280. "11-04-14:00": "17.8\u2103",
  281. "11-04-17:00": "17.1\u2103",
  282. "11-04-02:00": "14.2\u2103",
  283. "11-04-05:00": "14.3\u2103",
  284. "11-04-11:00": "16.5\u2103"
  285. }
  286. },
  287. "wind_speed": {
  288. "day": {
  289. "today_winds": "\u5fae\u98ce",
  290. "now_winds": "\u98ce\u5411\u98ce\u901f"
  291. },
  292. "three_hour": {
  293. "11-04-23:00": "1\u7c73/\u79d2",
  294. "11-04-20:00": "1.4\u7c73/\u79d2",
  295. "11-04-08:00": "1\u7c73/\u79d2",
  296. "11-04-14:00": "1.5\u7c73/\u79d2",
  297. "11-04-17:00": "2\u7c73/\u79d2",
  298. "11-04-02:00": "0.4\u7c73/\u79d2",
  299. "11-04-05:00": "1.1\u7c73/\u79d2"
  300. ,
  301. "11-04-11:00": "1.5\u7c73/\u79d2"
  302. }
  303. },
  304. "wind_direction": {
  305. "day": {
  306. "now_windd": "\u98ce\u5411\u98ce\u901f",
  307. "today_windd": "\u4e1c\u98ce"
  308. },
  309. "three_hour": {
  310. "11-04-23:00": "\u4e1c\u98ce",
  311. "11-04-20:00": "\u4e1c\u98ce",
  312. "11-04-08:00": "\u4e1c\u5317\u98ce",
  313. "11-04-14:00": "\u4e1c\u5317\u98ce",
  314. "11-04-17:00": "\u4e1c\u5317\u98ce",
  315. "11-04-02:00": "\u4e1c\u5317\u98ce",
  316. "11-04-05:00": "\u4e1c\u5317\u98ce",
  317. "11-04-11:00": "\u4e1c\u5317\u98ce"
  318. }
  319. },
  320. "humidity": {
  321. "day": {
  322. "today_humidity": "null",
  323. "now_humidity": "\u76f8\u5bf9\u6e7f\u5ea6"
  324. },
  325. "three_hour": {
  326. "11-04-23:00": "92.7%",
  327. "11-04-20:00": "96%",
  328. "11-04-08:00": "96.8%",
  329. "11-04-14:00": "96.4%",
  330. "11-04-17:00": "97%",
  331. "11-04-02:00": "99.1%",
  332. "11-04-05:00": "95.9%",
  333. "11-04-11:00": "95.7%"
  334. }
  335. },
  336. "water": {
  337. "day": {
  338. "now_water": 0,
  339. "today_water": "null"
  340. },
  341. "three_hour": {
  342. "11-04-23:00": 0,
  343. "11-04-20:00": "0.1",
  344. "11-
  345. 04-08:00": "2.5",
  346. "11-04-14:00": "2.8",
  347. "11-04-17:00": "0.9",
  348. "11-04-02:00": 0,
  349. "11-04-05:00": "2.8",
  350. "11-04-11:00": "3.3"
  351. }
  352. },
  353. "pressure": {
  354. "day": {
  355. "today_pressure": "null",
  356. "now_pressure": "null"
  357. },
  358. "three_hour": {
  359. "11-04-23:00": "1009.2hPa",
  360. "11-04-20:00": "1009.4hPa",
  361. "11-04-08:00": "1010.8hPa",
  362. "11-04-14:00": "1008.4hPa",
  363. "11-04-17:00": "1008.3hPa",
  364. "11-04-02:00": "1008.8hPa",
  365. "11-04-05:00": "1010.4hPa",
  366. "11-04-11:00": "1010.5hPa"
  367. }
  368. },
  369. "weather": {
  370. "day": {
  371. "now_weather": "null",
  372. "weather_png_link": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/night/1.png",
  373. "today_weather": "\u591a\u4e91"
  374. },
  375. "three_hour": {
  376. "11-04-23:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/1.png",
  377. "11-04-20:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  378. "11-04-08:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/da
  379. y/7.png",
  380. "11-04-14:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  381. "11-04-17:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  382. "11-04-02:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/2.png",
  383. "11-04-05:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/7.png",
  384. "11-04-11:00": "http://image.nmc.cn/static2/site/nmc/themes/basic/weather/white/day/8.png"
  385. }
  386. },
  387. "cloud": {
  388. "day": {
  389. "now_cloud": "null",
  390. "today_cloud": "null"
  391. },
  392. "three_hour": {
  393. "11-04-23:00": "63.1%",
  394. "11-04-20:00": "56.7%",
  395. "11-04-08:00": "97.3%",
  396. "11-04-14:00": "98.1%",
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  4762. line 2: "11-06": {
  4763. [Finished in 0.4s]

         四种方法相比而言,前两种方法的核心就是化大为小,即将原始的大文件数据转化为小粒度的数据来进行读取,每次只处理单次读取的数据;第三种方法采用的是文件迭代器的方式,借助于python自带的迭代机制,自动地使用了buffered IO以及内存管理方法来解决大文件数据的读取;最后一种方法是借助于第三方的模块linecache来完成读取的,这是一个自带缓存机制的数据读取模块,最常用的方法就是上面提到的两个函数了,亲测非常好用,读取5GB的文件大概在十几秒左右的吧,直接使用pip安装的话灭有成功,我是在网上找了一个安装包完成安装的,这里放一下下载链接,如果需要的话就拿去测试使用吧,个人感觉还是很不错的。

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