{ "cells": [ { "cell_type": "code", "execution_count": 2, "id": "8d8fa929-88b4-41a2-b6be-950a3dcebafb", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "a = pd.read_csv('de/tj/JD_PeiBi.csv')" ] }, { "cell_type": "code", "execution_count": 7, "id": "2fe8cd17-1722-4fa4-9137-3bd91cb05eb5", "metadata": {}, "outputs": [], "source": [ "b= a[a['PBMC'].str.contains('砂浆')]['PBBH'].to_list()" ] }, { "cell_type": "code", "execution_count": 8, "id": "c1501edb-8dee-4b12-a4ab-fbc9c8b3e8f6", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true }, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "['80010103',\n", " '80010104',\n", " '80010105',\n", " '80010106',\n", " '80050103',\n", " '80050104',\n", " '80050105',\n", " '80050106',\n", " '80010121',\n", " '80010122',\n", " '80010123',\n", " '80010124',\n", " '80010125',\n", " '80010161',\n", " '80070303',\n", " '80070304',\n", " '80070305',\n", " '80070306',\n", " '80010142',\n", " '80050120',\n", " 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"code", "execution_count": 13, "id": "d04c8045-d274-4db2-a0c5-adba9865d500", "metadata": {}, "outputs": [], "source": [ "d = c[c['PBBH'].isin(b)][['PBBH', 'SL', 'RcjID']]" ] }, { "cell_type": "code", "execution_count": 17, "id": "c15a291d-8ffb-4569-bd36-28db0ee42f9b", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [ { "data": { "text/plain": [ "array([['80010103', 202.0, 273],\n", " ['80010103', 1.61, 277],\n", " ['80010103', 0.3, 1173],\n", " ['80010104', 217.0, 273],\n", " ['80010104', 1.61, 277],\n", " ['80010104', 0.3, 1173],\n", " ['80010105', 223.0, 273],\n", " ['80010105', 1.61, 277],\n", " ['80010105', 0.3, 1173],\n", " ['80010106', 253.0, 273],\n", " ['80010106', 1.61, 277],\n", " ['80010106', 0.3, 1173],\n", " ['80050103', 174.0, 273],\n", " ['80050103', 1.61, 277],\n", " ['80050103', 0.1, 1369],\n", " ['80050103', 0.3, 1173],\n", " ['80050104', 202.0, 273],\n", " ['80050104', 1.61, 277],\n", " ['80050104', 0.08, 1369],\n", " ['80050104', 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['80071321', 1.31, 280],\n", " ['80071321', 165.0, 1372],\n", " ['80071321', 14.0, 905],\n", " ['80071321', 14.0, 906],\n", " ['80071321', 33.0, 903],\n", " ['80071321', 166.0, 894],\n", " ['80050111', 731.0, 1526],\n", " ['80050111', 0.95, 1527],\n", " ['80050111', 0.4, 1173],\n", " ['80050108', 466.0, 1526],\n", " ['80050108', 1.03, 1527],\n", " ['80050108', 0.4, 1173]], dtype=object)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "d.to_numpy()" ] }, { "cell_type": "code", "execution_count": 21, "id": "49210713-c7b3-4bc6-a144-6f26cd0b3a34", "metadata": {}, "outputs": [], "source": [ "did = d['RcjID']" ] }, { "cell_type": "code", "execution_count": 23, "id": "9385f4b9-7084-42ab-82d3-75c9820da698", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [ { "data": { "text/plain": [ "[273,\n", " 277,\n", " 1173,\n", " 273,\n", " 277,\n", " 1173,\n", " 273,\n", " 277,\n", " 1173,\n", " 273,\n", " 277,\n", " 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280,\n", " 1372,\n", " 905,\n", " 906,\n", " 293,\n", " 280,\n", " 1372,\n", " 905,\n", " 906,\n", " 813,\n", " 293,\n", " 280,\n", " 909,\n", " 815,\n", " 879,\n", " 1375,\n", " 293,\n", " 280,\n", " 1373,\n", " 909,\n", " 879,\n", " 1375,\n", " 293,\n", " 280,\n", " 1372,\n", " 905,\n", " 906,\n", " 903,\n", " 894,\n", " 1526,\n", " 1527,\n", " 1173,\n", " 1526,\n", " 1527,\n", " 1173]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "did.to_list()" ] }, { "cell_type": "code", "execution_count": 18, "id": "2e06083f-afee-4575-aa8a-42611ac2b784", "metadata": {}, "outputs": [], "source": [ "e = pd.read_csv('de/tj/JD_CaiLiaoK.csv')\n" ] }, { "cell_type": "code", "execution_count": 26, "id": "8baa861f-711e-4669-83ca-4271d84673b0", "metadata": {}, "outputs": [], "source": [ "f = e[e['RcjID'].isin(did.to_list())][['CLBH', 'CLMC', 'JLDW', 'YSJG', 'RcjID']]" ] }, { "cell_type": "code", "execution_count": 27, "id": "958ee8cb-2f5a-4d3a-9b26-287af4d63f45", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([['02290501', '麻刀', 'kg', 2.4, 114],\n", " ['04010611', '水泥 32.5级', 'kg', 0.31, 273],\n", " ['04010701', '白水泥', 'kg', 0.7, 274],\n", " ['04030100', '黄砂', 't', 74.0, 275],\n", " ['04030107', '中砂', 't', 69.37, 277],\n", " ['04030133', '石英砂', 't', 180.0, 280],\n", " ['04090602', '滑石粉', 'kg', 0.62, 292],\n", " ['04090700', '石英粉', 'kg', 0.35, 293],\n", " ['11410319', '呋喃树脂', 'kg', 18.0, 813],\n", " ['11410324', '邻苯型不饱和聚酸树脂', 'kg', 20.0, 815],\n", " ['11550105', '石油沥青 30#', 'kg', 5.5, 838],\n", " ['11593507', '过氧化环乙酮二丁酯糊 50%', 'kg', 16.0, 879],\n", " ['12060323', '煤焦油', 'kg', 2.8, 894],\n", " ['12300325', '氟硅酸钠', 'kg', 2.8, 900],\n", " ['12310303', '二甲苯', 'kg', 5.9, 903],\n", " ['12310307', '乙二胺', 'kg', 15.0, 905],\n", " ['12310308', '丙酮', 'kg', 6.0, 906],\n", " ['12310317', '苯乙烯', 'kg', 9.7, 909],\n", " ['31150101', '水', 'm3', 4.7, 1173],\n", " ['01650104', '钢屑', 'kg', 2.4, 1358],\n", " ['02070404', '聚硫橡胶', 'kg', 30.0, 1359],\n", " ['04030121', '白云石砂 4#', 't', 133.0, 1360],\n", " ['04030129', '重晶石砂', 't', 330.0, 1361],\n", " ['04030139', '轻质砂', 'm3', 70.0, 1362],\n", " ['04090120', '石灰膏', 'm3', 216.0, 1369],\n", " ['04090605', '铸石粉', 't', 712.5, 1370],\n", " ['04230108', '防水剂', 'kg', 5.0, 1371],\n", " ['11410305', '环氧树脂 E42', 'kg', 19.95, 1372],\n", " ['11410325', '双酚A不饱和聚脂树脂', 'kg', 19.0, 1373],\n", " ['12310329', '环烷酸钴苯乙烯液', 'kg', 12.0, 1375],\n", " ['13010102', '温石棉', 'kg', 7.79, 1377],\n", " ['13160303', '硅藻土', 'kg', 0.38, 1379],\n", " ['31052502', '硫磺', 'kg', 1.8, 1380],\n", " ['31132509', '纸筋', 'kg', 1.5, 1381],\n", " ['04010611', '复合硅酸盐水泥 32.5级', 'kg', 0.31, 1526],\n", " ['04030107', '中(粗)砂', 't', 69.37, 1527],\n", " ['12413531', '水玻璃', 'kg', 0.85, 1541]], dtype=object)" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f.to_numpy()" ] }, { "cell_type": "code", "execution_count": 28, "id": "76ce8804-c253-48d9-b28e-e69bb836c5bd", "metadata": {}, "outputs": [], "source": [ "a = pd.read_csv('de/yl/JD_PeiBi.csv')" ] }, { "cell_type": "code", "execution_count": 29, "id": "874a65e8-007a-45a5-a0e8-35aa7837d31f", "metadata": {}, "outputs": [], "source": [ "b= a[a['PBMC'].str.contains('砂浆')]['PBBH'].to_list()" ] }, { "cell_type": "code", "execution_count": 30, "id": "5d4dde93-5027-4cfa-be48-7bfd826cc8a2", "metadata": {}, "outputs": [], "source": [ "c = pd.read_csv('de/yl/JD_PeiBiF.csv')\n" ] }, { "cell_type": "code", "execution_count": 31, "id": "4dd89efa-4818-483c-9797-c0c6000cc67a", "metadata": {}, "outputs": [], "source": [ "d = c[c['PBBH'].isin(b)][['PBBH', 'SL', 'RcjID']]" ] }, { "cell_type": "code", "execution_count": 32, "id": "3a857052-f75d-4e45-b882-76a1a7ae3e53", "metadata": {}, "outputs": [], "source": [ "did = d['RcjID']" ] }, { "cell_type": "code", "execution_count": 33, "id": "fb120379-e658-4ff3-a77f-076f8093ea65", "metadata": {}, "outputs": [], "source": [ "e = pd.read_csv('de/yl/JD_CaiLiaoK.csv')\n" ] }, { "cell_type": "code", "execution_count": 34, "id": "f3933c63-ee0c-42e9-9669-f7aa2ae269d8", "metadata": {}, "outputs": [], "source": [ "f = e[e['RcjID'].isin(did.to_list())][['CLBH', 'CLMC', 'JLDW', 'YSJG', 'RcjID']]" ] }, { "cell_type": "code", "execution_count": 41, "id": "a22cd4fb-9e93-4c24-a079-e3983ae4f357", "metadata": {}, "outputs": [], "source": [ "d['PBBH'] = d['PBBH'].astype(str)" ] }, { "cell_type": "code", "execution_count": 45, "id": "56853e5c-12c2-49eb-9cd7-ee1f66e075f1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([['0430061', '白水泥', 'kg', 0.52, 29595],\n", " ['0430080', '水泥 32.5级', 'kg', 0.3, 29596],\n", " ['0530135', '白石子', 't', 106.3, 29611],\n", " ['0530490', '石灰膏', 'm3', 118.0, 29677],\n", " ['0530720', '中砂', 't', 36.5, 29714],\n", " ['1730060', '防水剂', 'kg', 1.52, 29983],\n", " ['2230080', '滑石粉', 'kg', 0.45, 30134],\n", " ['2230131', '石油沥青 30#', 'kg', 3.69, 30140],\n", " ['2330290', '麻刀', 'kg', 2.0, 30165],\n", " ['2330450', '水', 'm3', 4.1, 30181],\n", " ['2330520', '纸筋', 'kg', 0.5, 30188],\n", " ['2359999', '其它材料费(调整)', '元', 1.0, 31054]], dtype=object)" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f.to_numpy()" ] }, { "cell_type": "code", "execution_count": 46, "id": "ed8dcdc0-9402-4dbe-b3b8-ec927f31afb2", "metadata": {}, "outputs": [], "source": [ "a = pd.read_csv('de/xsaz/JD_PeiBi.csv')" ] }, { "cell_type": "code", "execution_count": 47, "id": "019a31b8-610a-4873-b9d2-c31191c8f014", "metadata": {}, "outputs": [], "source": [ "b= a[a['PBMC'].str.contains('砂浆')]['PBBH'].to_list()" ] }, { "cell_type": "code", "execution_count": 48, "id": "22b2eaaa-e170-4ad0-9ad4-cc8e5acbe141", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [ { "data": { "text/plain": [ "[304912001,\n", " 304912002,\n", " 304912003,\n", " 304912004,\n", " 304912005,\n", " 304912006,\n", " 304912007,\n", " 304912008,\n", " 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pd.read_csv('de/xsaz/JD_PeiBiF.csv')\n" ] }, { "cell_type": "code", "execution_count": 50, "id": "c754318f-c287-4855-b364-77008be11029", "metadata": {}, "outputs": [], "source": [ "d = c[c['PBBH'].isin(b)][['PBBH', 'SL', 'RcjID']]" ] }, { "cell_type": "code", "execution_count": 53, "id": "b78a55c6-60e4-4219-b164-2f6c3942ca3e", "metadata": {}, "outputs": [], "source": [ "d['PBBH'] = d['PBBH'].astype(str)" ] }, { "cell_type": "code", "execution_count": 55, "id": "d06696a5-112f-4c98-9430-3edb49de49c2", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [ { "data": { "text/plain": [ "array([['304912001', 202.0, 263],\n", " ['304912001', 1.61, 5],\n", " ['304912001', 0.3, 353],\n", " ['304912002', 217.0, 263],\n", " ['304912002', 1.61, 5],\n", " ['304912002', 0.3, 353],\n", " ['304912003', 223.0, 263],\n", " ['304912003', 1.61, 5],\n", " ['304912003', 0.3, 353],\n", " ['304912004', 253.0, 263],\n", " ['304912004', 1.61, 5],\n", " ['304912004', 0.3, 353],\n", " ['304912005', 174.0, 263],\n", " ['304912005', 1.61, 5],\n", " ['304912005', 0.1, 38],\n", " ['304912005', 0.3, 353],\n", " ['304912006', 202.0, 263],\n", " ['304912006', 1.61, 5],\n", " ['304912006', 0.08, 38],\n", " ['304912006', 0.3, 353],\n", " ['304912007', 230.0, 263],\n", " ['304912007', 1.61, 5],\n", " ['304912007', 0.05, 38],\n", " ['304912007', 0.3, 353],\n", " ['304912008', 258.0, 263],\n", " ['304912008', 1.61, 5],\n", " ['304912008', 0.03, 38],\n", " ['304912008', 0.3, 353],\n", " ['304913001', 765.0, 263],\n", " ['304913001', 1.007, 5],\n", " ['304913001', 0.3, 353],\n", " ['304913002', 644.0, 263],\n", " ['304913002', 1.272, 5],\n", " ['304913002', 0.3, 353],\n", " ['304913003', 557.0, 263],\n", " ['304913003', 1.464, 5],\n", " ['304913003', 0.3, 353],\n", " ['304913004', 490.0, 263],\n", " ['304913004', 1.611, 5],\n", " ['304913004', 0.3, 353],\n", " ['304913005', 408.0, 263],\n", " ['304913005', 1.611, 5],\n", " ['304913005', 0.3, 353],\n", " ['304913006', 359.0, 263],\n", " ['304913006', 1.611, 5],\n", " ['304913006', 0.15, 353],\n", " ['304913012', 644.0, 266],\n", " ['304913012', 1.28, 5],\n", " ['304913012', 0.3, 353],\n", " ['304913013', 185.0, 263],\n", " ['304913013', 0.31, 38],\n", " ['304913013', 1.48, 5],\n", " ['304913013', 0.3, 353],\n", " ['304913014', 130.0, 263],\n", " ['304913014', 0.32, 38],\n", " ['304913014', 1.56, 5],\n", " ['304913014', 0.3, 353],\n", " ['304913015', 340.0, 263],\n", " ['304913015', 0.56, 38],\n", " ['304913015', 0.46, 5],\n", " ['304913015', 0.3, 353],\n", " ['304913016', 306.0, 263],\n", " ['304913016', 0.13, 38],\n", " ['304913016', 1.63, 5],\n", " ['304913016', 0.3, 353],\n", " ['304913017', 382.0, 263],\n", " ['304913017', 0.32, 38],\n", " ['304913017', 1.01, 5],\n", " ['304913017', 0.3, 353],\n", " ['304913018', 204.0, 263],\n", " ['304913018', 0.17, 38],\n", " ['304913018', 1.63, 5],\n", " ['304913018', 0.3, 353],\n", " ['304913019', 466.0, 263],\n", " ['304913019', 0.04, 38],\n", " 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['304913027', 1.61, 5],\n", " ['304913027', 0.3, 353],\n", " ['304913028', 0.47, 38],\n", " ['304913028', 1.47, 5],\n", " ['304913028', 0.3, 353],\n", " ['304913029', 0.4, 38],\n", " ['304913029', 1.61, 5],\n", " ['304913029', 0.3, 353],\n", " ['304913030', 0.36, 38],\n", " ['304913030', 1.61, 5],\n", " ['304913030', 0.3, 353],\n", " ['304913031', 0.25, 38],\n", " ['304913031', 1.61, 5],\n", " ['304913031', 0.3, 353],\n", " ['304913071', 0.34, 38],\n", " ['304913071', 1.63, 5],\n", " ['304913071', 16.6, 1198],\n", " ['304913071', 0.3, 353],\n", " ['304913072', 224.0, 263],\n", " ['304913072', 0.37, 38],\n", " ['304913072', 1.18, 5],\n", " ['304913072', 26.63, 47],\n", " ['304913072', 0.3, 353],\n", " ['304914008', 1.56, 5],\n", " ['304914008', 275.0, 1085],\n", " ['304914008', 530.0, 41],\n", " ['304914009', 1.69, 5],\n", " ['304914009', 244.0, 1085],\n", " ['304914009', 468.0, 41],\n", " ['304914015', 1085.0, 263],\n", " ['304914015', 0.32, 6],\n", " ['304914015', 1650.0, 864],\n", " ['304914015', 0.4, 353],\n", " ['304913007', 765.0, 263],\n", " ['304913007', 1.007, 5],\n", " ['304913007', 38.25, 1305],\n", " ['304913007', 0.3, 353],\n", " ['304913008', 644.0, 263],\n", " ['304913008', 1.272, 5],\n", " ['304913008', 32.2, 1305],\n", " ['304913008', 0.3, 353],\n", " ['304913009', 557.0, 263],\n", " ['304913009', 1.464, 5],\n", " ['304913009', 27.85, 1305],\n", " ['304913009', 0.3, 353],\n", " ['304913010', 490.0, 263],\n", " ['304913010', 1.611, 5],\n", " ['304913010', 24.5, 1305],\n", " ['304913010', 0.3, 353],\n", " ['304913011', 408.0, 263],\n", " ['304913011', 1.611, 5],\n", " ['304913011', 0.3, 353],\n", " ['304913011', 20.4, 1305],\n", " ['304916001', 312.96, 263],\n", " ['304916001', 1.18, 12],\n", " ['304916001', 0.4, 353],\n", " ['304916002', 340.1, 263],\n", " ['304916002', 1.14, 12],\n", " ['304916002', 0.4, 353],\n", " ['304916003', 411.48, 263],\n", " ['304916003', 1.04, 12],\n", " ['304916003', 0.4, 353],\n", " ['304916004', 180.46, 263],\n", " ['304916004', 1.13, 12],\n", " ['304916004', 0.12, 38],\n", " ['304916004', 0.4, 353],\n", " ['304916005', 262.65, 263],\n", " ['304916005', 0.99, 12],\n", " ['304916005', 0.13, 38],\n", " ['304916005', 0.4, 353],\n", " ['304916006', 281.51, 263],\n", " ['304916006', 0.94, 12],\n", " ['304916006', 0.14, 38],\n", " ['304916006', 0.4, 353],\n", " ['304916007', 312.96, 263],\n", " ['304916007', 0.92, 12],\n", " ['304916007', 0.13, 38],\n", " ['304916007', 0.4, 353]], dtype=object)" ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "d.to_numpy()" ] }, { "cell_type": "code", "execution_count": 56, "id": "330bcab6-f079-4c5f-b8f6-6607af510723", "metadata": {}, "outputs": [], "source": [ "did = d['RcjID']" ] }, { "cell_type": "code", "execution_count": 57, "id": "91382314-5f2b-4103-9b6a-59d731b8e5b6", "metadata": {}, "outputs": [], "source": [ "e = pd.read_csv('de/xsaz/JD_CaiLiaoK.csv')\n" ] }, { "cell_type": "code", "execution_count": 58, "id": "f2c17949-af8b-4fd5-842d-816f6bf1a14f", "metadata": {}, "outputs": [], "source": [ "f = e[e['RcjID'].isin(did.to_list())][['CLBH', 'CLMC', 'JLDW', 'YSJG', 'RcjID']]" ] }, { "cell_type": "code", "execution_count": 60, "id": "191315e4-099d-4f68-b0bd-9ee0d0b578cb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([['0101020201', '中砂', 't', 68.5, 5],\n", " ['0101020401', '砂', 't', 59.0, 6],\n", " ['0101070501', '轻质砂 JML', 'm3', 70.0, 12],\n", " ['0105010201', '石灰膏', 'm3', 160.0, 38],\n", " ['0105050201', '滑石粉', 'kg', 0.45, 41],\n", " ['0105060402', '纸筋', 'kg', 0.5, 47],\n", " ['0301010102', '水泥 32.5级', 'kg', 0.31, 263],\n", " ['0301030100', '白水泥', 'kg', 0.58, 266],\n", " ['0612070102', '水', 'm3', 4.1, 353],\n", " ['0512010304', '钢屑', 'kg', 0.76, 864],\n", " ['0604010302', '石油沥青30#', 'kg', 3.69, 1085],\n", " ['0608013501', '麻刀', 'kg', 2.0, 1198],\n", " ['0609100611', '防水剂', 'kg', 1.52, 1305]], dtype=object)" ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f.to_numpy()" ] }, { "cell_type": "code", "execution_count": 61, "id": "851f0031-a904-400d-8724-19e563340bec", "metadata": {}, "outputs": [], "source": [ "a = pd.read_csv('de/xstj/JD_PeiBi.csv')" ] }, { "cell_type": "code", "execution_count": 62, "id": "f8553bd8-6734-4f4a-bebe-405c82682f63", "metadata": {}, "outputs": [], "source": [ "b= a[a['PBMC'].str.contains('砂浆')]['PBBH'].to_list()" ] }, { "cell_type": "code", "execution_count": 63, "id": "a2201037-0720-465c-a072-d9c0458b82c6", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [ { "data": { "text/plain": [ "[304912001,\n", " 304912002,\n", " 304912003,\n", " 304912004,\n", " 304912005,\n", " 304912006,\n", " 304912007,\n", " 304912008,\n", " 304913001,\n", " 304913002,\n", " 304913003,\n", " 304913004,\n", " 304913005,\n", " 304913006,\n", " 304913007,\n", " 304913008,\n", " 304913009,\n", " 304913010,\n", " 304913012,\n", " 304913013,\n", " 304913014,\n", " 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"code", "execution_count": 68, "id": "983405ed-8ce7-40eb-bf5c-5e369f0f843b", "metadata": {}, "outputs": [], "source": [ "d['PBBH'] = d['PBBH'].astype(str)" ] }, { "cell_type": "code", "execution_count": 70, "id": "a2a8c56a-33b3-4cfd-a171-e82d098ae17f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([['304912001', 202.0, 263],\n", " ['304912001', 1.61, 5],\n", " ['304912001', 0.3, 353],\n", " ['304912002', 217.0, 263],\n", " ['304912002', 1.61, 5],\n", " ['304912002', 0.3, 353],\n", " ['304912003', 223.0, 263],\n", " ['304912003', 1.61, 5],\n", " ['304912003', 0.3, 353],\n", " ['304912004', 253.0, 263],\n", " ['304912004', 1.61, 5],\n", " ['304912004', 0.3, 353],\n", " ['304912005', 174.0, 263],\n", " ['304912005', 1.61, 5],\n", " ['304912005', 0.1, 38],\n", " ['304912005', 0.3, 353],\n", " ['304912006', 202.0, 263],\n", " ['304912006', 1.61, 5],\n", " ['304912006', 0.08, 38],\n", " ['304912006', 0.3, 353],\n", " ['304912007', 230.0, 263],\n", " ['304912007', 1.61, 5],\n", " ['304912007', 0.05, 38],\n", " ['304912007', 0.3, 353],\n", " ['304912008', 258.0, 263],\n", " ['304912008', 1.61, 5],\n", " ['304912008', 0.03, 38],\n", " ['304912008', 0.3, 353],\n", " ['304913001', 765.0, 263],\n", " ['304913001', 1.007, 5],\n", " ['304913001', 0.3, 353],\n", " ['304913002', 644.0, 263],\n", " ['304913002', 1.272, 5],\n", " ['304913002', 0.3, 353],\n", " ['304913003', 557.0, 263],\n", " ['304913003', 1.464, 5],\n", " ['304913003', 0.3, 353],\n", " ['304913004', 490.0, 263],\n", " ['304913004', 1.611, 5],\n", " ['304913004', 0.3, 353],\n", " ['304913005', 408.0, 263],\n", " ['304913005', 1.611, 5],\n", " ['304913005', 0.3, 353],\n", " ['304913006', 359.0, 263],\n", " ['304913006', 1.611, 5],\n", " ['304913006', 0.15, 353],\n", " ['304913012', 644.0, 266],\n", " ['304913012', 1.28, 5],\n", " ['304913012', 0.3, 353],\n", " ['304913013', 185.0, 263],\n", " ['304913013', 0.31, 38],\n", " ['304913013', 1.48, 5],\n", " ['304913013', 0.3, 353],\n", " ['304913014', 130.0, 263],\n", " ['304913014', 0.32, 38],\n", " ['304913014', 1.56, 5],\n", " ['304913014', 0.3, 353],\n", " ['304913015', 340.0, 263],\n", " ['304913015', 0.56, 38],\n", " ['304913015', 0.46, 5],\n", " ['304913015', 0.3, 353],\n", " ['304913016', 306.0, 263],\n", " ['304913016', 0.13, 38],\n", " ['304913016', 1.63, 5],\n", " ['304913016', 0.3, 353],\n", " ['304913017', 382.0, 263],\n", " ['304913017', 0.32, 38],\n", " ['304913017', 1.01, 5],\n", " ['304913017', 0.3, 353],\n", " ['304913018', 204.0, 263],\n", " ['304913018', 0.17, 38],\n", " ['304913018', 1.63, 5],\n", " ['304913018', 0.3, 353],\n", " ['304913019', 466.0, 263],\n", " ['304913019', 0.04, 38],\n", " ['304913019', 1.52, 5],\n", " ['304913019', 0.3, 353],\n", " ['304913020', 371.0, 263],\n", " ['304913020', 0.15, 38],\n", " ['304913020', 1.48, 5],\n", " ['304913020', 0.3, 353],\n", " ['304913021', 278.0, 263],\n", " ['304913021', 0.23, 38],\n", " ['304913021', 1.48, 5],\n", " ['304913021', 0.3, 353],\n", " ['304913022', 453.0, 263],\n", " ['304913022', 0.19, 38],\n", " ['304913022', 1.2, 5],\n", " ['304913022', 0.3, 353],\n", " ['304913023', 510.0, 263],\n", " ['304913023', 0.08, 38],\n", " ['304913023', 1.36, 5],\n", " ['304913023', 0.3, 353],\n", " ['304913024', 583.0, 263],\n", " ['304913024', 0.24, 38],\n", " ['304913024', 0.77, 5],\n", " ['304913024', 0.3, 353],\n", " ['304913025', 467.0, 263],\n", " ['304913025', 0.39, 38],\n", " ['304913025', 0.62, 5],\n", " ['304913025', 0.3, 353],\n", " ['304913026', 391.0, 263],\n", " ['304913026', 0.1, 38],\n", " ['304913026', 1.56, 5],\n", " ['304913026', 0.3, 353],\n", " ['304913027', 242.0, 263],\n", " ['304913027', 0.1, 38],\n", " ['304913027', 1.61, 5],\n", " ['304913027', 0.3, 353],\n", " ['304913028', 0.47, 38],\n", " ['304913028', 1.47, 5],\n", " ['304913028', 0.3, 353],\n", " ['304913029', 0.4, 38],\n", " ['304913029', 1.61, 5],\n", " ['304913029', 0.3, 353],\n", " ['304913030', 0.36, 38],\n", " ['304913030', 1.61, 5],\n", " ['304913030', 0.3, 353],\n", " ['304913031', 0.25, 38],\n", " ['304913031', 1.61, 5],\n", " ['304913031', 0.3, 353],\n", " ['304913071', 0.34, 38],\n", " ['304913071', 1.63, 5],\n", " ['304913071', 16.6, 1198],\n", " ['304913071', 0.3, 353],\n", " ['304913072', 224.0, 263],\n", " ['304913072', 0.37, 38],\n", " ['304913072', 1.18, 5],\n", " ['304913072', 26.63, 47],\n", " ['304913072', 0.3, 353],\n", " ['304914008', 1.56, 5],\n", " ['304914008', 275.0, 1085],\n", " ['304914008', 530.0, 41],\n", " ['304914009', 1.69, 5],\n", " ['304914009', 244.0, 1085],\n", " ['304914009', 468.0, 41],\n", " ['304914015', 1085.0, 263],\n", " ['304914015', 0.32, 6],\n", " ['304914015', 1650.0, 864],\n", " ['304914015', 0.4, 353],\n", " ['304913007', 765.0, 263],\n", " ['304913007', 1.007, 5],\n", " ['304913007', 38.25, 1305],\n", " ['304913007', 0.3, 353],\n", " ['304913008', 644.0, 263],\n", " ['304913008', 1.272, 5],\n", " ['304913008', 32.2, 1305],\n", " ['304913008', 0.3, 353],\n", " ['304913009', 557.0, 263],\n", " ['304913009', 1.464, 5],\n", " ['304913009', 27.85, 1305],\n", " ['304913009', 0.3, 353],\n", " ['304913010', 490.0, 263],\n", " ['304913010', 1.611, 5],\n", " ['304913010', 24.5, 1305],\n", " ['304913010', 0.3, 353],\n", " ['304913011', 408.0, 263],\n", " ['304913011', 1.611, 5],\n", " ['304913011', 0.3, 353],\n", " ['304913011', 20.4, 1305],\n", " ['304916001', 312.96, 263],\n", " ['304916001', 1.18, 12],\n", " ['304916001', 0.4, 353],\n", " ['304916002', 340.1, 263],\n", " ['304916002', 1.14, 12],\n", " ['304916002', 0.4, 353],\n", " ['304916003', 411.48, 263],\n", " ['304916003', 1.04, 12],\n", " ['304916003', 0.4, 353],\n", " ['304916004', 180.46, 263],\n", " ['304916004', 1.13, 12],\n", " ['304916004', 0.12, 38],\n", " ['304916004', 0.4, 353],\n", " ['304916005', 262.65, 263],\n", " ['304916005', 0.99, 12],\n", " ['304916005', 0.13, 38],\n", " ['304916005', 0.4, 353],\n", " ['304916006', 281.51, 263],\n", " ['304916006', 0.94, 12],\n", " ['304916006', 0.14, 38],\n", " ['304916006', 0.4, 353],\n", " ['304916007', 312.96, 263],\n", " ['304916007', 0.92, 12],\n", " ['304916007', 0.13, 38],\n", " ['304916007', 0.4, 353]], dtype=object)" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "d.to_numpy()" ] }, { "cell_type": "code", "execution_count": 73, "id": "0a97b9aa-7394-4adf-8bdb-b43482cccaba", "metadata": {}, "outputs": [], "source": [ "did = d['RcjID']" ] }, { "cell_type": "code", "execution_count": 71, "id": "c7fac77b-6dbc-4aee-b4d1-abdb960f9dae", "metadata": {}, "outputs": [], "source": [ "e = pd.read_csv('de/xstj/JD_CaiLiaoK.csv')\n" ] }, { "cell_type": "code", "execution_count": 74, "id": "e1c38780-88cf-4f65-9996-ae65a4d76fa0", "metadata": {}, "outputs": [], "source": [ "f = e[e['RcjID'].isin(did.to_list())][['CLBH', 'CLMC', 'JLDW', 'YSJG', 'RcjID']]" ] }, { "cell_type": "code", "execution_count": 76, "id": "c9392424-45da-4ac2-9693-5372657de6a2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([['0101020201', '中砂', 't', 68.5, 5],\n", " ['0101020401', '砂', 't', 59.0, 6],\n", " ['0101070501', '轻质砂 JML', 'm3', 70.0, 12],\n", " ['0105010201', '石灰膏', 'm3', 160.0, 38],\n", " ['0105050201', '滑石粉', 'kg', 0.45, 41],\n", " ['0105060402', '纸筋', 'kg', 0.5, 47],\n", " ['0301010102', '水泥 32.5级', 'kg', 0.31, 263],\n", " ['0301030100', '白水泥', 'kg', 0.58, 266],\n", " ['0612070102', '水', 'm3', 4.1, 353],\n", " ['0512010304', '钢屑', 'kg', 0.76, 864],\n", " ['0604010302', '石油沥青30#', 'kg', 3.69, 1085],\n", " ['0608013501', '麻刀', 'kg', 2.0, 1198],\n", " ['0609100611', '防水剂', 'kg', 1.52, 1305]], dtype=object)" ] }, "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f.to_numpy()" ] }, { "cell_type": "code", "execution_count": null, "id": "11ebe1f1-d2e4-4058-aee6-d535239b2ccf", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.4" } }, "nbformat": 4, "nbformat_minor": 5 }