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parallel测试

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liaozhaorun
2025-05-26 21:34:36 +08:00
parent a4b05bb62f
commit bf86fd9415
28 changed files with 15054 additions and 7886 deletions
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62
main/data/index_and_industry.ipynb
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@@ -39,19 +39,16 @@
"text": [
"数据已经成功存储到index_data.h5文件中\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\liaozhaorun\\AppData\\Local\\Temp\\ipykernel_16940\\1832869062.py:13: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
" final_df = pd.concat(all_data, ignore_index=True)\n"
]
}
],
"source": [
"# 定义四个指数\n",
"index_list = ['399300.SH', '000905.SH', '000852.SH', '399006.SZ']\n",
"index_list = [\n",
" # '399300.SZ', \n",
" '000905.SH', \n",
" '000852.SH', \n",
" '399006.SZ'\n",
" ]\n",
"\n",
"# 获取并存储数据\n",
"all_data = []\n",
@@ -59,6 +56,7 @@
"for ts_code in index_list:\n",
" df = pro.index_daily(ts_code=ts_code) # 可根据需要设置日期\n",
" df['ts_code'] = ts_code # 添加ts_code列来区分数据\n",
" # print(df)\n",
" all_data.append(df)\n",
"\n",
"# 合并所有数据\n",
@@ -86,32 +84,32 @@
"output_type": "stream",
"text": [
" ts_code trade_date close open high low \\\n",
"0 000905.SH 20250509 5721.7225 5770.4410 5770.4410 5705.1654 \n",
"1 000905.SH 20250508 5773.8056 5731.7157 5783.7915 5724.9511 \n",
"2 000905.SH 20250507 5750.2911 5805.6560 5819.2422 5713.2734 \n",
"3 000905.SH 20250506 5740.3338 5668.8762 5740.3338 5666.4698 \n",
"4 000905.SH 20250430 5631.8249 5604.6537 5647.7821 5603.1718 \n",
"0 000905.SH 20250523 5653.0436 5697.1362 5738.0829 5653.0436 \n",
"1 000905.SH 20250522 5703.2797 5739.1909 5757.7946 5701.1614 \n",
"2 000905.SH 20250521 5757.9225 5741.6885 5763.0788 5733.8275 \n",
"3 000905.SH 20250520 5747.3670 5723.5055 5759.4582 5707.8101 \n",
"4 000905.SH 20250519 5720.7949 5719.4381 5729.0703 5669.7208 \n",
"... ... ... ... ... ... ... \n",
"13501 399006.SZ 20100607 1069.4680 1005.0280 1075.2250 1001.7020 \n",
"13502 399006.SZ 20100604 1027.6810 989.6810 1027.6810 986.5040 \n",
"13503 399006.SZ 20100603 998.3940 1002.3550 1026.7020 997.7750 \n",
"13504 399006.SZ 20100602 997.1190 967.6090 997.1190 952.6110 \n",
"13505 399006.SZ 20100601 973.2330 986.0150 994.7930 948.1180 \n",
"13531 399006.SZ 20100607 1069.4680 1005.0280 1075.2250 1001.7020 \n",
"13532 399006.SZ 20100604 1027.6810 989.6810 1027.6810 986.5040 \n",
"13533 399006.SZ 20100603 998.3940 1002.3550 1026.7020 997.7750 \n",
"13534 399006.SZ 20100602 997.1190 967.6090 997.1190 952.6110 \n",
"13535 399006.SZ 20100601 973.2330 986.0150 994.7930 948.1180 \n",
"\n",
" pre_close change pct_chg vol amount \n",
"0 5773.8056 -52.0831 -0.9021 1.239390e+08 1.781623e+08 \n",
"1 5750.2911 23.5145 0.4089 1.361403e+08 1.870326e+08 \n",
"2 5740.3338 9.9573 0.1735 1.710118e+08 2.275662e+08 \n",
"3 5631.8249 108.5089 1.9267 1.627736e+08 2.170600e+08 \n",
"4 5604.9057 26.9192 0.4803 1.383866e+08 1.816166e+08 \n",
"... ... ... ... ... ... \n",
"13501 1027.6810 41.7870 4.0661 2.655275e+06 9.106095e+06 \n",
"13502 998.3940 29.2870 2.9334 1.500295e+06 5.269441e+06 \n",
"13503 997.1190 1.2750 0.1279 1.616805e+06 6.240835e+06 \n",
"13504 973.2330 23.8860 2.4543 1.074628e+06 4.001206e+06 \n",
"13505 1000.0000 -26.7670 -2.6767 1.356285e+06 4.924177e+06 \n",
" pre_close change pct_chg vol amount \n",
"0 5703.2797 -50.2361 -0.8808 1.143612e+08 1.481236e+08 \n",
"1 5757.9225 -54.6428 -0.9490 1.090577e+08 1.416209e+08 \n",
"2 5747.3670 10.5555 0.1837 1.158045e+08 1.551474e+08 \n",
"3 5720.7949 26.5721 0.4645 1.168966e+08 1.517512e+08 \n",
"4 5715.8491 4.9458 0.0865 1.153849e+08 1.410987e+08 \n",
"... ... ... ... ... ... \n",
"13531 1027.6810 41.7870 4.0661 2.655275e+06 9.106095e+06 \n",
"13532 998.3940 29.2870 2.9334 1.500295e+06 5.269441e+06 \n",
"13533 997.1190 1.2750 0.1279 1.616805e+06 6.240835e+06 \n",
"13534 973.2330 23.8860 2.4543 1.074628e+06 4.001206e+06 \n",
"13535 1000.0000 -26.7670 -2.6767 1.356285e+06 4.924177e+06 \n",
"\n",
"[13506 rows x 11 columns]\n"
"[13536 rows x 11 columns]\n"
]
}
],