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Python笔记-Json转DataFrame(基金主题Json数据)_python json转dataframe

python json转dataframe

关于基金主题数据如何获取,在后面的博文中会介绍,这里只介绍下,Json数据转DataFrame方便进行数据分析。

从互联网中得到的json数据如下:

  1. {
  2. "Data":{
  3. "hy":[
  4. {
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  6. "BKCode":"BK0429",
  7. "BKName":"交运设备",
  8. "TradeDate":"/Date(1642348800000-0000)/",
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  10. "ZDF":2.01,
  11. "ZS_3":-0.03,
  12. "ZS_5":0.05,
  13. "Cinflow":10036722,
  14. "SYL_W":1.1311,
  15. "SYL_M":2.9988,
  16. "SYL_Q":13.0276,
  17. "SYL_1N":14.898,
  18. "SYL_JN":1.3487,
  19. "Cinflow_W":-837861554,
  20. "LZTS":0,
  21. "LDTS":2,
  22. "JLRTS":0,
  23. "JLCTS":6,
  24. "TYPE":"1"
  25. },
  26. {
  27. "IndexCode":"817012",
  28. "BKCode":"BK0438",
  29. "BKName":"食品饮料",
  30. "TradeDate":"/Date(1642348800000-0000)/",
  31. "NewPrice":27258.24,
  32. "ZDF":0.13,
  33. "ZS_3":0.01,
  34. "ZS_5":0.09,
  35. "Cinflow":-726734144,
  36. "SYL_W":-0.4119,
  37. "SYL_M":3.9976,
  38. "SYL_Q":9.4295,
  39. "SYL_1N":7.706,
  40. "SYL_JN":0.881,
  41. "Cinflow_W":-5605143360,
  42. "LZTS":0,
  43. "LDTS":2,
  44. "JLRTS":0,
  45. "JLCTS":2,
  46. "TYPE":"1"
  47. },
  48. {
  49. "IndexCode":"817017",
  50. "BKCode":"BK0451",
  51. "BKName":"房地产开发",
  52. "TradeDate":"/Date(1642348800000-0000)/",
  53. "NewPrice":14331.09,
  54. "ZDF":0.38,
  55. "ZS_3":0,
  56. "ZS_5":0.09,
  57. "Cinflow":-274966720,
  58. "SYL_W":-1.6409,
  59. "SYL_M":5.4224,
  60. "SYL_Q":9.5946,
  61. "SYL_1N":12.3021,
  62. "SYL_JN":3.6303,
  63. "Cinflow_W":-4255166560,
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  66. "JLRTS":0,
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  68. "TYPE":"1"
  69. },
  70. {
  71. "IndexCode":"817018",
  72. "BKCode":"BK0454",
  73. "BKName":"塑料制品",
  74. "TradeDate":"/Date(1642348800000-0000)/",
  75. "NewPrice":12911.51,
  76. "ZDF":1.31,
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  92. {
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  94. "BKCode":"BK0465",
  95. "BKName":"化学制药",
  96. "TradeDate":"/Date(1642348800000-0000)/",
  97. "NewPrice":32927.64,
  98. "ZDF":1.55,
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  101. "Cinflow":-760694784,
  102. "SYL_W":7.0704,
  103. "SYL_M":17.3475,
  104. "SYL_Q":18.64,
  105. "SYL_1N":28.9915,
  106. "SYL_JN":6.5688,
  107. "Cinflow_W":-4419691792,
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  113. },
  114. {
  115. "IndexCode":"817027",
  116. "BKCode":"BK0473",
  117. "BKName":"证券",
  118. "TradeDate":"/Date(1642348800000-0000)/",
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  136. {
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  140. "TradeDate":"/Date(1642348800000-0000)/",
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  145. "Cinflow":-443230912,
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  157. },
  158. {
  159. "IndexCode":"817029",
  160. "BKCode":"BK0475",
  161. "BKName":"银行",
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  180. {
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  183. "BKName":"有色金属",
  184. "TradeDate":"/Date(1642348800000-0000)/",
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  186. "ZDF":1.11,
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  201. },
  202. {
  203. "IndexCode":"817033",
  204. "BKCode":"BK0479",
  205. "BKName":"钢铁行业",
  206. "TradeDate":"/Date(1642348800000-0000)/",
  207. "NewPrice":7872.06,
  208. "ZDF":0.19,
  209. "ZS_3":-0.05,
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  212. "SYL_W":-3.358,
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  214. "SYL_Q":-4.6874,
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  217. "Cinflow_W":-4618616720,
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  220. "JLRTS":0,
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  223. },
  224. {
  225. "IndexCode":"817034",
  226. "BKCode":"BK0480",
  227. "BKName":"航天航空",
  228. "TradeDate":"/Date(1642348800000-0000)/",
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  230. "ZDF":2.05,
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  233. "Cinflow":258252144,
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  245. },
  246. {
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  248. "BKCode":"BK0481",
  249. "BKName":"汽车零部件",
  250. "TradeDate":"/Date(1642348800000-0000)/",
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  252. "ZDF":2.13,
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  259. "SYL_1N":45.2987,
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  261. "Cinflow_W":-1714158832,
  262. "LZTS":1,
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  264. "JLRTS":1,
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  266. "TYPE":"1"
  267. },
  268. {
  269. "IndexCode":"817041",
  270. "BKCode":"BK0538",
  271. "BKName":"化学制品",
  272. "TradeDate":"/Date(1642348800000-0000)/",
  273. "NewPrice":26225.3,
  274. "ZDF":1.21,
  275. "ZS_3":0.02,
  276. "ZS_5":0.07,
  277. "Cinflow":-45011328,
  278. "SYL_W":1.1292,
  279. "SYL_M":1.4092,
  280. "SYL_Q":11.9732,
  281. "SYL_1N":65.6494,
  282. "SYL_JN":-0.0518,
  283. "Cinflow_W":-2440956240,
  284. "LZTS":0,
  285. "LDTS":2,
  286. "JLRTS":0,
  287. "JLCTS":2,
  288. "TYPE":"1"
  289. },
  290. {
  291. "IndexCode":"817047",
  292. "BKCode":"BK0727",
  293. "BKName":"医疗服务",
  294. "TradeDate":"/Date(1642348800000-0000)/",
  295. "NewPrice":1492.88,
  296. "ZDF":-0.13,
  297. "ZS_3":0,
  298. "ZS_5":0.06,
  299. "Cinflow":-584936224,
  300. "SYL_W":1.1053,
  301. "SYL_M":-0.1899,
  302. "SYL_Q":0.4447,
  303. "SYL_1N":6.149,
  304. "SYL_JN":-1.6367,
  305. "Cinflow_W":-2326019360,
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  311. },
  312. {
  313. "IndexCode":"817048",
  314. "BKCode":"BK0728",
  315. "BKName":"环保行业",
  316. "TradeDate":"/Date(1642348800000-0000)/",
  317. "NewPrice":478.29,
  318. "ZDF":1.4,
  319. "ZS_3":0.04,
  320. "ZS_5":0.1,
  321. "Cinflow":-57019376,
  322. "SYL_W":-1.0407,
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  334. {
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  337. "BKName":"化肥行业",
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  340. "ZDF":0.02,
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  356. {
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  366. "SYL_W":3.4824,
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  377. },
  378. {
  379. "IndexCode":"817057",
  380. "BKCode":"BK0737",
  381. "BKName":"软件开发",
  382. "TradeDate":"/Date(1642348800000-0000)/",
  383. "NewPrice":900.45,
  384. "ZDF":5.97,
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  387. "Cinflow":3392579968,
  388. "SYL_W":4.3528,
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  392. "SYL_JN":4.8388,
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  400. {
  401. "IndexCode":"817059",
  402. "BKCode":"BK0739",
  403. "BKName":"工程机械",
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  422. {
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  444. ],
  445. "gn":[
  446. {
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  448. "BKCode":"BK0492",
  449. "BKName":"煤化工",
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  456. "SYL_W":-1.8977,
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  556. {
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  1148. "TYPE":"2"
  1149. },
  1150. {
  1151. "IndexCode":"861200",
  1152. "BKCode":"BK0830",
  1153. "BKName":"区块链",
  1154. "TradeDate":"/Date(1642348800000-0000)/",
  1155. "NewPrice":932.53,
  1156. "ZDF":4.45,
  1157. "ZS_3":0,
  1158. "ZS_5":0.05,
  1159. "Cinflow":5850110208,
  1160. "SYL_W":3.8094,
  1161. "SYL_M":6.3864,
  1162. "SYL_Q":20.3233,
  1163. "SYL_1N":29.1342,
  1164. "SYL_JN":4.8682,
  1165. "Cinflow_W":-11646463232,
  1166. "LZTS":0,
  1167. "LDTS":2,
  1168. "JLRTS":0,
  1169. "JLCTS":8,
  1170. "TYPE":"2"
  1171. },
  1172. {
  1173. "IndexCode":"861238",
  1174. "BKCode":"BK0832",
  1175. "BKName":"工业互联",
  1176. "TradeDate":"/Date(1642348800000-0000)/",
  1177. "NewPrice":1581.92,
  1178. "ZDF":3.59,
  1179. "ZS_3":0.03,
  1180. "ZS_5":0.08,
  1181. "Cinflow":2084229376,
  1182. "SYL_W":2.6081,
  1183. "SYL_M":1.5575,
  1184. "SYL_Q":13.7802,
  1185. "SYL_1N":33.1022,
  1186. "SYL_JN":1.7005,
  1187. "Cinflow_W":-6077610032,
  1188. "LZTS":0,
  1189. "LDTS":2,
  1190. "JLRTS":0,
  1191. "JLCTS":6,
  1192. "TYPE":"2"
  1193. },
  1194. {
  1195. "IndexCode":"861241",
  1196. "BKCode":"BK0835",
  1197. "BKName":"独角兽",
  1198. "TradeDate":"/Date(1642348800000-0000)/",
  1199. "NewPrice":1678.93,
  1200. "ZDF":2.64,
  1201. "ZS_3":-0.01,
  1202. "ZS_5":0.07,
  1203. "Cinflow":719435776,
  1204. "SYL_W":2.0235,
  1205. "SYL_M":1.9077,
  1206. "SYL_Q":12.8563,
  1207. "SYL_1N":42.1425,
  1208. "SYL_JN":0.9082,
  1209. "Cinflow_W":-3940916992,
  1210. "LZTS":0,
  1211. "LDTS":2,
  1212. "JLRTS":0,
  1213. "JLCTS":2,
  1214. "TYPE":"2"
  1215. },
  1216. {
  1217. "IndexCode":"861201",
  1218. "BKCode":"BK0840",
  1219. "BKName":"OLED",
  1220. "TradeDate":"/Date(1642348800000-0000)/",
  1221. "NewPrice":2299.7,
  1222. "ZDF":2.4,
  1223. "ZS_3":-0.01,
  1224. "ZS_5":0.04,
  1225. "Cinflow":1451506736,
  1226. "SYL_W":1.7544,
  1227. "SYL_M":0.2035,
  1228. "SYL_Q":13.0313,
  1229. "SYL_1N":31.993,
  1230. "SYL_JN":-0.116,
  1231. "Cinflow_W":-4861360112,
  1232. "LZTS":1,
  1233. "LDTS":0,
  1234. "JLRTS":0,
  1235. "JLCTS":2,
  1236. "TYPE":"2"
  1237. },
  1238. {
  1239. "IndexCode":"861257",
  1240. "BKCode":"BK0853",
  1241. "BKName":"电子竞技",
  1242. "TradeDate":"/Date(1642348800000-0000)/",
  1243. "NewPrice":1169.98,
  1244. "ZDF":1.98,
  1245. "ZS_3":0.03,
  1246. "ZS_5":0.08,
  1247. "Cinflow":249718240,
  1248. "SYL_W":-0.9616,
  1249. "SYL_M":5.9256,
  1250. "SYL_Q":24.9085,
  1251. "SYL_1N":42.928,
  1252. "SYL_JN":1.6464,
  1253. "Cinflow_W":-3959030336,
  1254. "LZTS":0,
  1255. "LDTS":2,
  1256. "JLRTS":0,
  1257. "JLCTS":7,
  1258. "TYPE":"2"
  1259. },
  1260. {
  1261. "IndexCode":"861258",
  1262. "BKCode":"BK0854",
  1263. "BKName":"华为概念",
  1264. "TradeDate":"/Date(1642348800000-0000)/",
  1265. "NewPrice":2644.09,
  1266. "ZDF":3.74,
  1267. "ZS_3":0.01,
  1268. "ZS_5":0.05,
  1269. "Cinflow":7400740352,
  1270. "SYL_W":3.1586,
  1271. "SYL_M":2.425,
  1272. "SYL_Q":18.1785,
  1273. "SYL_1N":34.0456,
  1274. "SYL_JN":1.5591,
  1275. "Cinflow_W":-13736118272,
  1276. "LZTS":1,
  1277. "LDTS":0,
  1278. "JLRTS":0,
  1279. "JLCTS":2,
  1280. "TYPE":"2"
  1281. },
  1282. {
  1283. "IndexCode":"861296",
  1284. "BKCode":"BK0896",
  1285. "BKName":"白酒",
  1286. "TradeDate":"/Date(1642348800000-0000)/",
  1287. "NewPrice":2786.39,
  1288. "ZDF":-0.17,
  1289. "ZS_3":-0.02,
  1290. "ZS_5":0.06,
  1291. "Cinflow":-457585136,
  1292. "SYL_W":-4.4471,
  1293. "SYL_M":-6.3102,
  1294. "SYL_Q":1.1897,
  1295. "SYL_1N":20.073,
  1296. "SYL_JN":-5.9221,
  1297. "Cinflow_W":-9554482416,
  1298. "LZTS":0,
  1299. "LDTS":2,
  1300. "JLRTS":0,
  1301. "JLCTS":14,
  1302. "TYPE":"2"
  1303. },
  1304. {
  1305. "IndexCode":"861299",
  1306. "BKCode":"BK0899",
  1307. "BKName":"CRO",
  1308. "TradeDate":"/Date(1642348800000-0000)/",
  1309. "NewPrice":2320.05,
  1310. "ZDF":1.76,
  1311. "ZS_3":0.05,
  1312. "ZS_5":0.07,
  1313. "Cinflow":-460489168,
  1314. "SYL_W":5.1633,
  1315. "SYL_M":4.2803,
  1316. "SYL_Q":-7.3751,
  1317. "SYL_1N":40.3785,
  1318. "SYL_JN":1.025,
  1319. "Cinflow_W":-688482096,
  1320. "LZTS":1,
  1321. "LDTS":0,
  1322. "JLRTS":0,
  1323. "JLCTS":2,
  1324. "TYPE":"2"
  1325. },
  1326. {
  1327. "IndexCode":"861206",
  1328. "BKCode":"BK0900",
  1329. "BKName":"新能源车",
  1330. "TradeDate":"/Date(1642348800000-0000)/",
  1331. "NewPrice":1588.47,
  1332. "ZDF":2.08,
  1333. "ZS_3":-0.01,
  1334. "ZS_5":0.05,
  1335. "Cinflow":2409237504,
  1336. "SYL_W":2.2708,
  1337. "SYL_M":-1.2993,
  1338. "SYL_Q":17.9353,
  1339. "SYL_1N":50.0113,
  1340. "SYL_JN":-0.4868,
  1341. "Cinflow_W":-9040646656,
  1342. "LZTS":1,
  1343. "LDTS":0,
  1344. "JLRTS":0,
  1345. "JLCTS":2,
  1346. "TYPE":"2"
  1347. },
  1348. {
  1349. "IndexCode":"861302",
  1350. "BKCode":"BK0903",
  1351. "BKName":"云游戏",
  1352. "TradeDate":"/Date(1642348800000-0000)/",
  1353. "NewPrice":1206.95,
  1354. "ZDF":3.22,
  1355. "ZS_3":0.02,
  1356. "ZS_5":0.11,
  1357. "Cinflow":287625088,
  1358. "SYL_W":1.2712,
  1359. "SYL_M":0.7336,
  1360. "SYL_Q":35.4784,
  1361. "SYL_1N":42.4416,
  1362. "SYL_JN":2.1091,
  1363. "Cinflow_W":-2058284880,
  1364. "LZTS":1,
  1365. "LDTS":0,
  1366. "JLRTS":0,
  1367. "JLCTS":7,
  1368. "TYPE":"2"
  1369. },
  1370. {
  1371. "IndexCode":"861304",
  1372. "BKCode":"BK0905",
  1373. "BKName":"传感器",
  1374. "TradeDate":"/Date(1642348800000-0000)/",
  1375. "NewPrice":1483.14,
  1376. "ZDF":2.97,
  1377. "ZS_3":-0.02,
  1378. "ZS_5":0.05,
  1379. "Cinflow":578024000,
  1380. "SYL_W":2.8002,
  1381. "SYL_M":0.7239,
  1382. "SYL_Q":17.9257,
  1383. "SYL_1N":30.3286,
  1384. "SYL_JN":-0.7807,
  1385. "Cinflow_W":-1091329200,
  1386. "LZTS":1,
  1387. "LDTS":0,
  1388. "JLRTS":1,
  1389. "JLCTS":0,
  1390. "TYPE":"2"
  1391. },
  1392. {
  1393. "IndexCode":"861346",
  1394. "BKCode":"BK0952",
  1395. "BKName":"第三代半导体",
  1396. "TradeDate":"/Date(1642348800000-0000)/",
  1397. "NewPrice":1482.57,
  1398. "ZDF":2.04,
  1399. "ZS_3":0,
  1400. "ZS_5":0.04,
  1401. "Cinflow":884623712,
  1402. "SYL_W":2.1567,
  1403. "SYL_M":-4.4459,
  1404. "SYL_Q":9.7875,
  1405. "SYL_1N":38.2853,
  1406. "SYL_JN":-3.2896,
  1407. "Cinflow_W":-802432608,
  1408. "LZTS":1,
  1409. "LDTS":0,
  1410. "JLRTS":1,
  1411. "JLCTS":0,
  1412. "TYPE":"2"
  1413. },
  1414. {
  1415. "IndexCode":"861361",
  1416. "BKCode":"BK0968",
  1417. "BKName":"固态电池",
  1418. "TradeDate":"/Date(1642348800000-0000)/",
  1419. "NewPrice":1952.46,
  1420. "ZDF":1.67,
  1421. "ZS_3":0.03,
  1422. "ZS_5":0.06,
  1423. "Cinflow":552513792,
  1424. "SYL_W":2.3833,
  1425. "SYL_M":-8.3529,
  1426. "SYL_Q":-0.0236,
  1427. "SYL_1N":64.6007,
  1428. "SYL_JN":-3.8349,
  1429. "Cinflow_W":601349696,
  1430. "LZTS":1,
  1431. "LDTS":0,
  1432. "JLRTS":1,
  1433. "JLCTS":0,
  1434. "TYPE":"2"
  1435. },
  1436. {
  1437. "IndexCode":"861362",
  1438. "BKCode":"BK0969",
  1439. "BKName":"汽车芯片",
  1440. "TradeDate":"/Date(1642348800000-0000)/",
  1441. "NewPrice":1297.51,
  1442. "ZDF":2.52,
  1443. "ZS_3":0.04,
  1444. "ZS_5":0.11,
  1445. "Cinflow":546226960,
  1446. "SYL_W":2.2974,
  1447. "SYL_M":-1.6822,
  1448. "SYL_Q":9.7817,
  1449. "SYL_1N":null,
  1450. "SYL_JN":-2.7565,
  1451. "Cinflow_W":-132055184,
  1452. "LZTS":1,
  1453. "LDTS":0,
  1454. "JLRTS":1,
  1455. "JLCTS":0,
  1456. "TYPE":"2"
  1457. },
  1458. {
  1459. "IndexCode":"861368",
  1460. "BKCode":"BK0976",
  1461. "BKName":"被动元件",
  1462. "TradeDate":"/Date(1642348800000-0000)/",
  1463. "NewPrice":1427.96,
  1464. "ZDF":2.39,
  1465. "ZS_3":0.02,
  1466. "ZS_5":0.02,
  1467. "Cinflow":29287488,
  1468. "SYL_W":1.7123,
  1469. "SYL_M":-4.3864,
  1470. "SYL_Q":10.6723,
  1471. "SYL_1N":null,
  1472. "SYL_JN":-6.0812,
  1473. "Cinflow_W":-792292720,
  1474. "LZTS":1,
  1475. "LDTS":0,
  1476. "JLRTS":1,
  1477. "JLCTS":0,
  1478. "TYPE":"2"
  1479. },
  1480. {
  1481. "IndexCode":"861369",
  1482. "BKCode":"BK0977",
  1483. "BKName":"碳化硅",
  1484. "TradeDate":"/Date(1642348800000-0000)/",
  1485. "NewPrice":1391.02,
  1486. "ZDF":1.77,
  1487. "ZS_3":-0.01,
  1488. "ZS_5":0.04,
  1489. "Cinflow":215858352,
  1490. "SYL_W":1.0886,
  1491. "SYL_M":-7.1514,
  1492. "SYL_Q":7.046,
  1493. "SYL_1N":null,
  1494. "SYL_JN":-5.5501,
  1495. "Cinflow_W":-751877728,
  1496. "LZTS":1,
  1497. "LDTS":0,
  1498. "JLRTS":1,
  1499. "JLCTS":0,
  1500. "TYPE":"2"
  1501. }
  1502. ]
  1503. },
  1504. "ErrCode":0,
  1505. "ErrMsg":null,
  1506. "TotalCount":0,
  1507. "Expansion":null,
  1508. "PageSize":0,
  1509. "PageIndex":0
  1510. }

其中比较关键的数据:

①hy为行业,gn为概念,都代表基金的主题;

②TradeData为日期,这里面的数据是2022-01-17到一年前的,某交易所统计的数据;

③SYL_XX:这个SYL为收益率。

SYL_W:近一周收益率;

SYL_M:近一月收益率;

SYL_Q:近三月收益率;

SYL_1N:近一年收益率;

Python代码如下:

  1. # -*- coding: utf-8 -*-
  2. import pandas as pd
  3. import json
  4. if __name__ == '__main__':
  5. dataStr = open('fund_index.json').read()
  6. dataObject = json.loads(s=dataStr)
  7. hyData = json.dumps(dataObject["Data"]["hy"])
  8. gnData = json.dumps(dataObject["Data"]["gn"])
  9. hyDf = pd.read_json(hyData)
  10. gnDf = pd.read_json(gnData)
  11. hyDf = hyDf.set_index("IndexCode")
  12. gnDf = gnDf.set_index("IndexCode")
  13. # 合并数据
  14. df = hyDf.combine_first(gnDf)
  15. print(df)
  16. pass

运行截图如下:

 

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