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This commit is contained in:
liaozhaorun
2025-05-13 15:30:06 +08:00
parent 791c84aba6
commit a4b05bb62f
20 changed files with 10737 additions and 7456 deletions
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28
main/data/update/cyq-perf.ipynb
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@@ -39,15 +39,15 @@
"3 000006.SZ 20250312\n",
"4 000007.SZ 20250312\n",
"... ... ...\n",
"5381 920445.BJ 20250506\n",
"5382 920489.BJ 20250506\n",
"5383 920682.BJ 20250506\n",
"5384 920799.BJ 20250506\n",
"5385 920819.BJ 20250506\n",
"5384 920445.BJ 20250508\n",
"5385 920489.BJ 20250508\n",
"5386 920682.BJ 20250508\n",
"5387 920799.BJ 20250508\n",
"5388 920819.BJ 20250508\n",
"\n",
"[7654317 rows x 2 columns]\n",
"20250506\n",
"start_date: 20250507\n"
"[7665071 rows x 2 columns]\n",
"20250508\n",
"start_date: 20250509\n"
]
}
],
@@ -88,8 +88,8 @@
"text": [
"任务 20250619 完成\n",
"任务 20250620 完成\n",
"任务 20250617 完成\n",
"任务 20250618 完成\n",
"任务 20250617 完成\n",
"任务 20250616 完成\n",
"任务 20250613 完成\n",
"任务 20250612 完成\n",
@@ -104,20 +104,18 @@
"任务 20250529 完成\n",
"任务 20250528 完成\n",
"任务 20250527 完成\n",
"任务 20250526 完成\n",
"任务 20250523 完成\n",
"任务 20250522 完成\n",
"任务 20250526 完成\n",
"任务 20250521 完成\n",
"任务 20250520 完成\n",
"任务 20250522 完成\n",
"任务 20250519 完成\n",
"任务 20250520 完成\n",
"任务 20250516 完成\n",
"任务 20250515 完成\n",
"任务 20250514 完成\n",
"任务 20250513 完成\n",
"任务 20250512 完成\n",
"任务 20250509 完成\n",
"任务 20250508 完成\n",
"任务 20250507 完成\n"
"任务 20250509 完成\n"
]
}
],

28
main/data/update/sw_daily.ipynb
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@@ -39,15 +39,15 @@
"3 801005.SI 20250221\n",
"4 801010.SI 20250221\n",
".. ... ...\n",
"434 859811.SI 20250506\n",
"435 859821.SI 20250506\n",
"436 859822.SI 20250506\n",
"437 859852.SI 20250506\n",
"438 859951.SI 20250506\n",
"434 859811.SI 20250508\n",
"435 859821.SI 20250508\n",
"436 859822.SI 20250508\n",
"437 859852.SI 20250508\n",
"438 859951.SI 20250508\n",
"\n",
"[1065465 rows x 2 columns]\n",
"20250506\n",
"start_date: 20250507\n"
"[1066343 rows x 2 columns]\n",
"20250508\n",
"start_date: 20250509\n"
]
}
],
@@ -88,8 +88,8 @@
"text": [
"任务 20250619 完成\n",
"任务 20250620 完成\n",
"任务 20250618 完成\n",
"任务 20250617 完成\n",
"任务 20250618 完成\n",
"任务 20250616 完成\n",
"任务 20250613 完成\n",
"任务 20250612 完成\n",
@@ -101,23 +101,21 @@
"任务 20250604 完成\n",
"任务 20250603 完成\n",
"任务 20250530 完成\n",
"任务 20250528 完成\n",
"任务 20250529 完成\n",
"任务 20250526 完成\n",
"任务 20250528 完成\n",
"任务 20250527 完成\n",
"任务 20250526 完成\n",
"任务 20250523 完成\n",
"任务 20250522 完成\n",
"任务 20250521 完成\n",
"任务 20250520 完成\n",
"任务 20250519 完成\n",
"任务 20250515 完成\n",
"任务 20250516 完成\n",
"任务 20250514 完成\n",
"任务 20250515 完成\n",
"任务 20250513 完成\n",
"任务 20250512 完成\n",
"任务 20250509 完成\n",
"任务 20250508 完成\n",
"任务 20250507 完成\n"
"任务 20250509 完成\n"
]
}
],

231
main/data/update/update_daily_basic.ipynb
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@@ -19,7 +19,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 2,
"id": "14671a7f72de2564",
"metadata": {
"ExecuteTime": {
@@ -80,7 +80,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 3,
"id": "e7f8cce2f80e2f20",
"metadata": {
"ExecuteTime": {
@@ -94,17 +94,17 @@
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 8599138 entries, 0 to 8599137\n",
"Index: 8615301 entries, 0 to 5388\n",
"Data columns (total 2 columns):\n",
" # Column Dtype \n",
"--- ------ ----- \n",
" 0 ts_code object\n",
" 1 trade_date object\n",
"dtypes: object(2)\n",
"memory usage: 196.8+ MB\n",
"memory usage: 197.2+ MB\n",
"None\n",
"20250430\n",
"20250506\n"
"20250508\n",
"20250509\n"
]
}
],
@@ -130,7 +130,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 4,
"id": "553cfb36-f560-4cc4-b2bc-68323ccc5072",
"metadata": {
"ExecuteTime": {
@@ -148,8 +148,8 @@
"任务 20250717 完成\n",
"任务 20250716 完成\n",
"任务 20250715 完成\n",
"任务 20250714 完成\n",
"任务 20250711 完成\n",
"任务 20250714 完成\n",
"任务 20250710 完成\n",
"任务 20250709 完成\n",
"任务 20250708 完成\n",
@@ -178,14 +178,14 @@
"任务 20250605 完成\n",
"任务 20250604 完成\n",
"任务 20250603 完成\n",
"任务 20250529 完成\n",
"任务 20250530 完成\n",
"任务 20250527 完成\n",
"任务 20250529 完成\n",
"任务 20250528 完成\n",
"任务 20250527 完成\n",
"任务 20250526 完成\n",
"任务 20250523 完成\n",
"任务 20250521 完成\n",
"任务 20250522 完成\n",
"任务 20250521 完成\n",
"任务 20250520 完成\n",
"任务 20250519 完成\n",
"任务 20250516 完成\n",
@@ -193,10 +193,7 @@
"任务 20250514 完成\n",
"任务 20250513 完成\n",
"任务 20250512 完成\n",
"任务 20250509 完成\n",
"任务 20250508 完成\n",
"任务 20250507 完成\n",
"任务 20250506 完成\n"
"任务 20250509 完成\n"
]
}
],
@@ -253,7 +250,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 5,
"id": "919023c693d7a47a",
"metadata": {
"ExecuteTime": {
@@ -266,59 +263,59 @@
"name": "stdout",
"output_type": "stream",
"text": [
" ts_code trade_date close turnover_rate turnover_rate_f \\\n",
"0 301261.SZ 20250507 97.25 15.5042 19.6511 \n",
"1 002643.SZ 20250507 11.12 1.3481 2.3303 \n",
"2 001211.SZ 20250507 22.11 3.5506 6.1239 \n",
"3 002466.SZ 20250507 28.98 1.0588 1.5771 \n",
"4 603005.SH 20250507 29.32 5.1961 6.1690 \n",
"... ... ... ... ... ... \n",
"10769 000551.SZ 20250506 12.39 2.0213 3.1432 \n",
"10770 600792.SH 20250506 3.17 0.8036 2.3531 \n",
"10771 300176.SZ 20250506 6.62 1.7530 2.5325 \n",
"10772 000016.SZ 20250506 5.57 13.9545 20.7669 \n",
"10773 300339.SZ 20250506 56.53 11.3184 11.9579 \n",
" ts_code trade_date close turnover_rate turnover_rate_f \\\n",
"0 300575.SZ 20250509 6.05 1.9284 2.1880 \n",
"1 300247.SZ 20250509 3.77 2.1735 2.5437 \n",
"2 603038.SH 20250509 15.80 17.5702 32.3972 \n",
"3 002030.SZ 20250509 5.82 0.8252 1.2070 \n",
"4 600157.SH 20250509 1.36 0.8369 1.0222 \n",
"... ... ... ... ... ... \n",
"5384 600841.SH 20250509 5.57 1.0271 3.2670 \n",
"5385 300968.SZ 20250509 14.76 1.2857 2.7636 \n",
"5386 300634.SZ 20250509 25.79 5.2551 9.4581 \n",
"5387 300295.SZ 20250509 15.73 3.0347 3.2458 \n",
"5388 688370.SH 20250509 19.15 1.2008 1.2008 \n",
"\n",
" volume_ratio pe pe_ttm pb ps ps_ttm dv_ratio \\\n",
"0 0.84 122.6810 146.2352 5.5730 8.2774 8.3189 0.4627 \n",
"1 0.79 41.9902 45.3885 1.4569 2.8000 2.8594 2.6982 \n",
"2 0.83 56.0080 58.9563 1.8078 1.1637 1.1399 0.0000 \n",
"3 0.92 NaN NaN 1.1380 3.6409 3.6410 4.6569 \n",
"4 1.35 75.6520 71.1174 4.4020 16.9225 16.2060 0.1570 \n",
"... ... ... ... ... ... ... ... \n",
"10769 1.20 19.9692 18.7030 1.8602 1.1939 1.1927 0.5650 \n",
"10770 0.89 NaN NaN 1.1995 0.5271 0.5777 2.1767 \n",
"10771 1.12 92.1443 96.5538 2.7208 1.4839 1.4627 0.0000 \n",
"10772 3.66 NaN NaN 5.6643 1.2067 1.1979 0.0000 \n",
"10773 2.40 279.4392 270.1037 12.8967 13.2445 13.0061 0.0000 \n",
" volume_ratio pe pe_ttm pb ps ps_ttm dv_ratio \\\n",
"0 0.71 239.8914 NaN 1.3451 1.1608 1.1259 1.9835 \n",
"1 0.96 64.6952 53.1680 2.7649 4.4008 3.9673 0.0000 \n",
"2 4.47 183.7603 154.4297 3.1047 4.0259 3.7692 0.2434 \n",
"3 0.62 NaN NaN 1.0296 9.5754 9.9145 0.2577 \n",
"4 0.55 19.3625 26.3896 0.6394 1.0656 1.1327 0.4044 \n",
"... ... ... ... ... ... ... ... \n",
"5384 0.77 NaN NaN 2.3362 1.1952 1.2860 0.0000 \n",
"5385 0.71 115.0812 181.8721 3.2254 4.9990 5.1146 0.3388 \n",
"5386 1.01 50.5639 52.9222 4.1166 7.0433 6.7806 0.8063 \n",
"5387 0.65 NaN NaN 2.6398 24.2982 28.1758 0.0000 \n",
"5388 1.25 29.1668 36.1111 0.9812 4.4106 4.4983 NaN \n",
"\n",
" dv_ttm total_share float_share free_share total_mv \\\n",
"0 0.4627 8789.0196 3748.3321 2957.3203 8.547322e+05 \n",
"1 2.6982 92996.9005 90932.5570 52604.5851 1.034126e+06 \n",
"2 NaN 7200.0000 6699.6575 3884.4502 1.591920e+05 \n",
"3 4.6569 164122.1583 147584.5634 99084.9325 4.756260e+06 \n",
"4 0.1570 65217.1706 65217.1706 54932.1940 1.912167e+06 \n",
"... ... ... ... ... ... \n",
"10769 0.5650 40394.4205 40263.2044 25893.0990 5.004869e+05 \n",
"10770 2.1767 110992.3600 105986.8113 36194.3684 3.518458e+05 \n",
"10771 NaN 38728.0800 38728.0800 26808.2764 2.563799e+05 \n",
"10772 NaN 240794.5408 159659.3800 107284.6868 1.341226e+06 \n",
"10773 NaN 79641.0841 77768.6667 73609.4256 4.502110e+06 \n",
" dv_ttm total_share float_share free_share total_mv \\\n",
"0 1.9835 4.647564e+04 3.427082e+04 3.020469e+04 2.811776e+05 \n",
"1 NaN 8.040403e+04 8.032753e+04 6.863630e+04 3.031232e+05 \n",
"2 0.2434 2.686771e+04 2.686771e+04 1.457134e+04 4.245098e+05 \n",
"3 0.2577 1.403446e+05 1.403446e+05 9.595371e+04 8.168056e+05 \n",
"4 0.4044 2.221776e+06 2.221776e+06 1.819047e+06 3.021616e+06 \n",
"... ... ... ... ... ... \n",
"5384 NaN 1.387822e+05 1.043024e+05 3.279094e+04 7.730167e+05 \n",
"5385 0.3388 4.133800e+04 4.133800e+04 1.923185e+04 6.101489e+05 \n",
"5386 0.8063 4.512109e+04 4.346809e+04 2.415175e+04 1.163673e+06 \n",
"5387 NaN 1.896137e+04 1.675486e+04 1.566518e+04 2.982624e+05 \n",
"5388 NaN 1.371079e+04 4.374912e+03 4.374912e+03 2.625616e+05 \n",
"\n",
" circ_mv is_st \n",
"0 3.645253e+05 False \n",
"1 1.011170e+06 False \n",
"2 1.481294e+05 False \n",
"3 4.277001e+06 False \n",
"4 1.912167e+06 False \n",
"... ... ... \n",
"10769 4.988611e+05 False \n",
"10770 3.359782e+05 False \n",
"10771 2.563799e+05 False \n",
"10772 8.893027e+05 False \n",
"10773 4.396263e+06 False \n",
" circ_mv is_st \n",
"0 2.073385e+05 False \n",
"1 3.028348e+05 False \n",
"2 4.245098e+05 False \n",
"3 8.168056e+05 False \n",
"4 3.021616e+06 False \n",
"... ... ... \n",
"5384 5.809646e+05 False \n",
"5385 6.101489e+05 False \n",
"5386 1.121042e+06 False \n",
"5387 2.635540e+05 False \n",
"5388 8.377956e+04 False \n",
"\n",
"[10774 rows x 19 columns]\n"
"[5389 rows x 19 columns]\n"
]
}
],
@@ -329,7 +326,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 6,
"id": "28cb78d032671b20",
"metadata": {
"ExecuteTime": {
@@ -342,59 +339,59 @@
"name": "stdout",
"output_type": "stream",
"text": [
" ts_code trade_date close turnover_rate turnover_rate_f \\\n",
"8 300147.SZ 20250507 6.58 5.3209 6.8857 \n",
"19 002501.SZ 20250507 2.10 2.8874 3.7273 \n",
"52 600238.SH 20250507 4.55 11.2843 13.8699 \n",
"63 300391.SZ 20250507 5.58 5.5505 7.0395 \n",
"73 600421.SH 20250507 4.99 2.8571 6.1511 \n",
"... ... ... ... ... ... \n",
"10647 600243.SH 20250506 2.43 6.7484 8.1172 \n",
"10652 002528.SZ 20250506 2.35 2.0592 4.3961 \n",
"10682 300044.SZ 20250506 3.31 12.8866 13.4490 \n",
"10712 300097.SZ 20250506 4.36 2.5814 3.0107 \n",
"10733 600200.SH 20250506 3.04 0.2013 0.2433 \n",
" ts_code trade_date close turnover_rate turnover_rate_f \\\n",
"54 002496.SZ 20250509 1.43 3.1262 3.2341 \n",
"148 603828.SH 20250509 5.04 3.5674 7.1692 \n",
"166 600599.SH 20250509 7.70 10.8623 27.2882 \n",
"193 000820.SZ 20250509 2.16 5.5698 5.7239 \n",
"203 300506.SZ 20250509 3.28 0.6710 0.9449 \n",
"... ... ... ... ... ... \n",
"5204 002602.SZ 20250509 8.00 1.3867 1.7044 \n",
"5253 300147.SZ 20250509 7.37 7.2159 9.3379 \n",
"5264 002501.SZ 20250509 2.08 2.4301 3.1371 \n",
"5317 600421.SH 20250509 5.27 2.7391 5.8971 \n",
"5345 600289.SH 20250509 5.78 1.3847 2.0115 \n",
"\n",
" volume_ratio pe pe_ttm pb ps ps_ttm dv_ratio \\\n",
"8 1.62 NaN NaN 4.4991 2.3410 2.5434 0.0 \n",
"19 1.28 NaN NaN 22.7988 22.3498 26.2757 0.0 \n",
"52 2.57 NaN NaN 20.0224 11.6394 12.3461 0.0 \n",
"63 1.35 NaN NaN NaN 17.5129 12.5138 0.0 \n",
"73 0.80 NaN NaN 135.5854 8.3301 8.4697 0.0 \n",
"... ... ... ... ... ... ... ... \n",
"10647 0.73 NaN NaN 1.6685 4.5071 4.6210 0.0 \n",
"10652 1.52 NaN NaN 15.5269 2.9812 3.6083 0.0 \n",
"10682 2.91 NaN NaN 24.3171 17.6463 26.1361 0.0 \n",
"10712 0.99 NaN NaN 2.7137 3.2758 3.8102 0.0 \n",
"10733 0.05 30.7156 NaN 1.2351 1.3543 1.7858 0.0 \n",
" volume_ratio pe pe_ttm pb ps ps_ttm dv_ratio \\\n",
"54 0.73 NaN NaN 1.6044 7.6992 7.2633 0.0 \n",
"148 1.65 349.9490 1691.0271 3.9734 1.2211 1.3170 0.0 \n",
"166 4.51 NaN NaN 11.5933 3.9468 4.0472 0.0 \n",
"193 1.00 NaN NaN 9.5443 11.2714 14.3393 0.0 \n",
"203 0.87 NaN NaN 28.5909 19.5183 19.3088 0.0 \n",
"... ... ... ... ... ... ... ... \n",
"5204 0.78 49.1432 31.1887 2.2169 2.6358 2.2496 0.0 \n",
"5253 1.74 NaN NaN 5.0393 2.6221 2.8487 0.0 \n",
"5264 0.87 NaN NaN 22.5816 22.1370 26.0255 0.0 \n",
"5317 0.74 NaN NaN 143.1934 8.7976 8.9449 0.0 \n",
"5345 0.55 NaN NaN 2.9752 11.3890 11.6628 0.0 \n",
"\n",
" dv_ttm total_share float_share free_share total_mv \\\n",
"8 NaN 66127.9045 65745.9042 50804.9121 435121.6116 \n",
"19 NaN 355000.0000 354999.9006 274999.9006 745500.0000 \n",
"52 NaN 44820.0000 44500.1580 36204.3908 203931.0000 \n",
"63 NaN 35033.6112 35033.6112 27623.1259 195487.5505 \n",
"73 NaN 19560.0000 19560.0000 9085.2748 97604.4000 \n",
"... ... ... ... ... ... \n",
"10647 NaN 43885.0000 43885.0000 36485.0000 106640.5500 \n",
"10652 NaN 119867.5082 104974.0608 49171.2582 281688.6443 \n",
"10682 NaN 76386.9228 76375.7508 73182.1277 252840.7145 \n",
"10712 NaN 28854.9669 27000.9948 23150.5534 125807.6557 \n",
"10733 NaN 71215.1832 71087.9480 58808.3718 216494.1569 \n",
" dv_ttm total_share float_share free_share total_mv \\\n",
"54 NaN 150758.9677 118138.6559 114196.4999 2.155853e+05 \n",
"148 NaN 59596.0158 59593.9625 29654.2988 3.003639e+05 \n",
"166 NaN 16600.0000 16600.0000 6607.7948 1.278200e+05 \n",
"193 NaN 64362.0201 29403.1899 28611.4718 1.390220e+05 \n",
"203 NaN 69559.6569 57572.5450 40880.9749 2.281557e+05 \n",
"... ... ... ... ... ... \n",
"5204 NaN 745255.6968 687870.8273 559649.7754 5.962046e+06 \n",
"5253 NaN 66127.9045 65745.9042 50804.9121 4.873627e+05 \n",
"5264 NaN 355000.0000 354999.9006 274999.9006 7.384000e+05 \n",
"5317 NaN 19560.0000 19560.0000 9085.2748 1.030812e+05 \n",
"5345 NaN 63105.2069 56592.2684 38956.2787 3.647481e+05 \n",
"\n",
" circ_mv is_st \n",
"8 432608.0496 True \n",
"19 745499.7913 True \n",
"52 202475.7189 True \n",
"63 195487.5505 True \n",
"73 97604.4000 True \n",
"54 1.689383e+05 True \n",
"148 3.003536e+05 True \n",
"166 1.278200e+05 True \n",
"193 6.351089e+04 True \n",
"203 1.888379e+05 True \n",
"... ... ... \n",
"10647 106640.5500 True \n",
"10652 246689.0429 True \n",
"10682 252803.7351 True \n",
"10712 117724.3373 True \n",
"10733 216107.3619 True \n",
"5204 5.502967e+06 True \n",
"5253 4.845473e+05 True \n",
"5264 7.383998e+05 True \n",
"5317 1.030812e+05 True \n",
"5345 3.271033e+05 True \n",
"\n",
"[394 rows x 19 columns]\n"
"[197 rows x 19 columns]\n"
]
}
],
@@ -404,7 +401,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 7,
"id": "692b58674b7462c9",
"metadata": {
"ExecuteTime": {
@@ -430,7 +427,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 8,
"id": "d7a773fc20293477",
"metadata": {
"ExecuteTime": {
@@ -444,7 +441,7 @@
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 8609912 entries, 0 to 10773\n",
"Index: 8620690 entries, 0 to 5388\n",
"Data columns (total 3 columns):\n",
" # Column Dtype \n",
"--- ------ ----- \n",
@@ -452,7 +449,7 @@
" 1 trade_date object\n",
" 2 is_st bool \n",
"dtypes: bool(1), object(2)\n",
"memory usage: 205.3+ MB\n",
"memory usage: 205.5+ MB\n",
"None\n"
]
}

842
main/data/update/update_daily_data.ipynb
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26
main/data/update/update_money_flow.ipynb
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@@ -34,17 +34,17 @@
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 8440821 entries, 0 to 5120\n",
"Index: 8451068 entries, 0 to 5123\n",
"Data columns (total 2 columns):\n",
" # Column Dtype \n",
"--- ------ ----- \n",
" 0 ts_code object\n",
" 1 trade_date object\n",
"dtypes: object(2)\n",
"memory usage: 193.2+ MB\n",
"memory usage: 193.4+ MB\n",
"None\n",
"20250506\n",
"start_date: 20250507\n"
"20250508\n",
"start_date: 20250509\n"
]
}
],
@@ -84,30 +84,30 @@
"name": "stdout",
"output_type": "stream",
"text": [
"任务 20250718 完成\n",
"任务 20250717 完成\n",
"任务 20250716 完成\n",
"任务 20250718 完成\n",
"任务 20250715 完成\n",
"任务 20250716 完成\n",
"任务 20250714 完成\n",
"任务 20250711 完成\n",
"任务 20250709 完成\n",
"任务 20250710 完成\n",
"任务 20250709 完成\n",
"任务 20250708 完成\n",
"任务 20250707 完成\n",
"任务 20250703 完成\n",
"任务 20250704 完成\n",
"任务 20250703 完成\n",
"任务 20250702 完成\n",
"任务 20250701 完成\n",
"任务 20250630 完成\n",
"任务 20250627 完成\n",
"任务 20250626 完成\n",
"任务 20250625 完成\n",
"任务 20250626 完成\n",
"任务 20250624 完成\n",
"任务 20250623 完成\n",
"任务 20250620 完成\n",
"任务 20250619 完成\n",
"任务 20250617 完成\n",
"任务 20250618 完成\n",
"任务 20250617 完成\n",
"任务 20250616 完成\n",
"任务 20250613 完成\n",
"任务 20250612 完成\n",
@@ -126,16 +126,14 @@
"任务 20250523 完成\n",
"任务 20250522 完成\n",
"任务 20250521 完成\n",
"任务 20250519 完成\n",
"任务 20250520 完成\n",
"任务 20250519 完成\n",
"任务 20250516 完成\n",
"任务 20250515 完成\n",
"任务 20250514 完成\n",
"任务 20250513 完成\n",
"任务 20250512 完成\n",
"任务 20250509 完成\n",
"任务 20250508 完成\n",
"任务 20250507 完成\n"
"任务 20250509 完成\n"
]
}
],

48
main/data/update/update_stk_limit.ipynb
View File

@@ -34,23 +34,23 @@
"output_type": "stream",
"text": [
" ts_code trade_date\n",
"4745 600276.SH 20250506\n",
"4746 600278.SH 20250506\n",
"4747 600279.SH 20250506\n",
"4736 600262.SH 20250506\n",
"281 000791.SZ 20250506\n",
"2364 300067.SZ 20250508\n",
"2363 300066.SZ 20250508\n",
"2362 300065.SZ 20250508\n",
"2373 300076.SZ 20250508\n",
"7111 920819.BJ 20250508\n",
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 10436295 entries, 0 to 113592\n",
"Index: 10450519 entries, 0 to 7111\n",
"Data columns (total 2 columns):\n",
" # Column Dtype \n",
"--- ------ ----- \n",
" 0 ts_code object\n",
" 1 trade_date object\n",
"dtypes: object(2)\n",
"memory usage: 238.9+ MB\n",
"memory usage: 239.2+ MB\n",
"None\n",
"20250506\n",
"20250507\n"
"20250508\n",
"20250509\n"
]
}
],
@@ -123,11 +123,11 @@
"任务 20250609 完成\n",
"任务 20250606 完成\n",
"任务 20250605 完成\n",
"任务 20250603 完成\n",
"任务 20250604 完成\n",
"任务 20250529 完成\n",
"任务 20250603 完成\n",
"任务 20250530 完成\n",
"任务 20250528 完成\n",
"任务 20250529 完成\n",
"任务 20250527 完成\n",
"任务 20250526 完成\n",
"任务 20250523 完成\n",
@@ -140,9 +140,7 @@
"任务 20250514 完成\n",
"任务 20250513 完成\n",
"任务 20250512 完成\n",
"任务 20250509 完成\n",
"任务 20250508 完成\n",
"任务 20250507 完成\n"
"任务 20250509 完成\n"
]
}
],
@@ -194,19 +192,19 @@
"output_type": "stream",
"text": [
"[ trade_date ts_code up_limit down_limit\n",
"0 20250507 000001.SZ 12.06 9.86\n",
"1 20250507 000002.SZ 7.51 6.15\n",
"2 20250507 000004.SZ 7.95 7.19\n",
"3 20250507 000006.SZ 7.11 5.81\n",
"4 20250507 000007.SZ 7.50 6.14\n",
"0 20250509 000001.SZ 12.19 9.97\n",
"1 20250509 000002.SZ 7.57 6.19\n",
"2 20250509 000004.SZ 7.86 7.12\n",
"3 20250509 000006.SZ 7.33 5.99\n",
"4 20250509 000007.SZ 7.66 6.26\n",
"... ... ... ... ...\n",
"7107 20250507 920445.BJ 13.42 7.24\n",
"7108 20250507 920489.BJ 31.69 17.07\n",
"7109 20250507 920682.BJ 16.41 8.85\n",
"7110 20250507 920799.BJ 78.58 42.32\n",
"7111 20250507 920819.BJ 5.82 3.14\n",
"7109 20250509 920445.BJ 13.14 7.08\n",
"7110 20250509 920489.BJ 31.70 17.08\n",
"7111 20250509 920682.BJ 16.17 8.71\n",
"7112 20250509 920799.BJ 78.39 42.21\n",
"7113 20250509 920819.BJ 5.74 3.10\n",
"\n",
"[7112 rows x 4 columns]]\n"
"[7114 rows x 4 columns]]\n"
]
}
],