This commit is contained in:
512song committed 2023-03-28 12:36:24 +00:00
1 parent 28caf11e53
commit 0d64f638b4
1 file changed
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+252 -278
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@@ -3,9 +3,11 @@
{
"cell_type": "markdown",
"id": "f501bde1-90cb-40c4-9dd4-533c27f81be5",
"metadata": {},
"metadata": {
"tags": []
},
"source": [
"## 调查报告线下数据管理"
"# 调查报告线下数据管理"
]
},
{
@@ -18,27 +20,12 @@
},
{
"cell_type": "code",
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"id": "9b2b755e-049e-48c5-87d3-dd37dceb59fe",
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},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"outputs": [],
"source": [
"import json\n",
"\n",
@@ -68,28 +55,12 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": null,
"id": "d89e0e5e-0782-40a3-bba3-862cc9865d4e",
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{
"name": "stdout",
"output_type": "stream",
"text": [
"465\n",
"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 344, 345, 346, 347, 348, 349, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 555, 666, 777, 999, 1000, 1001, 2367, 3456, 6000, 6001, 6002, 6003, 6602, 8888, 8889, 9999, 10000, 11112, 66666, 77777, 88888, 98000, 98765, 98766, 98767, 98776, 99999, 111111, 888888, 999998, 999999, 9999999, 999999999]\n"
]
}
],
"outputs": [],
"source": [
"import json\n",
"import time\n",
@@ -133,28 +104,12 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"id": "e76837e8-cdf4-41e0-9d51-6ae5223de813",
"metadata": {
"execution": {
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},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"440\n",
"ok\n"
]
}
],
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
@@ -196,28 +151,12 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"id": "1293cdaa-1fdf-43a5-99ce-a031a76f6688",
"metadata": {
"execution": {
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},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"350\n",
"ok\n"
]
}
],
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
@@ -259,57 +198,12 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"id": "f21fff31-0da6-4c1a-bf7c-8c4a1d4a3ecf",
"metadata": {
"execution": {
"iopub.execute_input": "2023-03-26T02:35:15.880503Z",
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},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"103\n",
"314\n",
"555\n",
"666\n",
"777\n",
"999\n",
"1000\n",
"1001\n",
"2367\n",
"3456\n",
"6000\n",
"6001\n",
"6002\n",
"6003\n",
"6602\n",
"8888\n",
"8889\n",
"9999\n",
"10000\n",
"11112\n",
"66666\n",
"77777\n",
"88888\n",
"98000\n",
"99999\n",
"111111\n",
"888888\n",
"999998\n",
"999999\n",
"9999999\n",
"999999999\n"
]
}
],
"outputs": [],
"source": [
"re_ta = {}\n",
"dict1 = {}\n",
@@ -361,90 +255,12 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": null,
"id": "50a5e0f9-3850-48ac-9f3a-f5a7be51a7fd",
"metadata": {
"execution": {
"iopub.execute_input": "2023-03-26T05:32:21.320792Z",
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},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"438\n",
"1 98776 唐庆振\n",
"2 398 黄志全\n",
"3 388 施怡如\n",
"4 98767 张莉\n",
"5 98766 张爱芹\n",
"6 367 李树强\n",
"7 339 刘俊英\n",
"8 338 刘树训\n",
"9 98765 张红霞\n",
"10 314 不详\n",
"11 313 王祝娥\n",
"12 312 赵芝堂\n",
"13 311 吕秀英\n",
"14 308 刘玉娥\n",
"15 307 程潍芳\n",
"16 305 韩春光\n",
"17 304 赵娥\n",
"18 299 盖彦玮\n",
"19 288 盖汝亭\n",
"20 280 柯天新\n",
"21 247 程华英\n",
"22 246 郭俊敏\n",
"23 244 罗桂贤\n",
"24 235 胡巧英\n",
"25 232 许义田\n",
"26 230 韩红华\n",
"27 226 杨秀荣\n",
"28 223 樊风亭\n",
"29 218 程玉良\n",
"30 213 张金宗\n",
"31 208 王小冬\n",
"32 200 李勇军\n",
"33 196 王连秀\n",
"34 188 杨志敏\n",
"35 151 许海仙\n",
"36 149 盖梦娜\n",
"37 148 冯静静\n",
"38 147 王海方\n",
"39 145 裴\n",
"40 136 刘兆合\n",
"41 134 张荣俊\n",
"42 120 郑凤\n",
"43 114 许建玲\n",
"44 103 不详\n",
"45 102 孙海莹\n",
"46 99 周\n",
"47 90 刘桂英\n",
"48 89 石云贞\n",
"49 80 刘凤英\n",
"50 74 李若梅\n",
"51 65 许秀凤\n",
"52 64 刘小凤\n",
"53 62 吕吉刚\n",
"54 60 盖\n",
"55 47 王其美\n",
"56 38 罗炳顺\n",
"57 35 藏学亮\n",
"58 34 胡世杰\n",
"59 29 盖叔臣\n",
"60 21 黄雯青\n",
"61 16 王金花\n",
"62 14 石立华\n",
"ok\n"
]
}
],
"outputs": [],
"source": [
"filename = 'data/杨庙恢复版信息.json'\n",
"with open(filename,'r') as fl:\n",
@@ -499,27 +315,12 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": null,
"id": "1106fa5d-f0dd-4af4-bc39-7b106786b438",
"metadata": {
"execution": {
"iopub.execute_input": "2023-03-26T02:50:54.853003Z",
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},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok!\n"
]
}
],
"outputs": [],
"source": [
"filename = 'data/杨庙补充汇总信息.json'\n",
"with open(filename,'r') as fl:\n",
@@ -558,42 +359,24 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": null,
"id": "dc20aabb-3942-49b9-8841-8e8a0823033a",
"metadata": {
"execution": {
"iopub.execute_input": "2023-03-26T05:33:34.447848Z",
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},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"59\n",
"350 不在清理名单中\n",
"341 不在清理名单中\n",
"76 不在清理名单中\n"
]
}
],
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"\n",
"filename = 'data/杨庙补充汇总信息.json'\n",
"filename = 'data/杨庙体测明确人员信息(20230328).json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl)\n",
"wb = openpyxl.load_workbook('data/羊庙问卷统计表(成年组).xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"\n",
"\n",
"dict1 = {}\n",
"no_xinli = [108,389,268,270]\n",
"sheet = wb.active\n",
"data1 =list(sheet.values)\n",
@@ -617,23 +400,23 @@
},
{
"cell_type": "markdown",
"id": "75dda87e-804e-42ba-b1a4-08c8a8b65050",
"id": "9a38f22b-6a8c-422f-a706-07382ccaceda",
"metadata": {},
"source": [
"## 老年问卷导入"
"## 成年问卷导出"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "09a354e6-a07a-40b8-9b8c-3499fb0b7c28",
"execution_count": 85,
"id": "2c84736a-b6cc-43d6-9407-ead6300748a5",
"metadata": {
"execution": {
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},
"tags": []
},
@@ -642,12 +425,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"(192, 190, 194, 195, 196, 197, 198, 18, 17, 16, 15, 14, 13, 12, 11, 9, 8, 7, 6, 5, 4, 436, 120, 121, 122, 124, 123, 130, 126, 133, 136, 135, 137, 138, 139, 140, 141, 142, 143, 144, 151, 150, 157, 158, 159, 160, 166, 167, 118, 117, 116, 115, 114, 111, 110, 109, 106, 105, 103, 102, 101, 100, 98, 96, 95, 94, 93, 90, 89, 88, 87, 86, 85, 83, 82, 80, 79, 77, 76, 230, 231, 237, 235, 233, 234, 239, 236, 238, 241, 243, 244, 242, 249, 256, 257, 258, 164, 165, 168, 162, 163, 74, 75, 73, 67, 59, 57, 56, 55, 53, 52, 49, 48, 47, 43, 42, 41, 40, 39, 38, 37, 36, 35, 34, 33, 31, 30, 29, 26, 25, 24, 23, 170, 172, 169, 171, 175, 179, 183, 184, 186, 187, 188, 289, 290, 293, 294, 296, 305, 307, 308, 306, 310, 309, 311, 312, 316, 203, 199, 202, 207, 209, 210, 214, 212, 211, 216, 218, 219, 220, 221, 226, 227, 222, 223, 229, 232, 398, 401, 399, 403, 405, 406, 407, 415, 416, 6002, 424, 430, 346, 349, 348, 353, 357, 355, 351, 356, 362, 363, 364, 365, 369, 368, 371, 373, 377, 379, 376, 372, 378, 382, 386, 387, 393, 392, 396, 400, 314, 317, 318, 324, 323, 322, 326, 325, 328, 331, 329, 330, 332, 334, 335, 336, 337, 333, 338, 339, 340, 341, 297, 343, 344, 259, 262, 264, 260, 265, 267, 272, 271, 274, 2734, 275, 277, 276, 280, 281, 284, 283, 282, 286, 288, 228, 345)\n",
"264\n",
"76 不在清理名单中\n",
"6002 不在清理名单中\n",
"341 不在清理名单中\n",
"2734 不在清理名单中\n"
"(\"merge1\",\"程新利\",\"287\",'{\"Gender\":\"m\",\"Age\":\"M\",\"q1M\":4,\"q2M\":3,\"q3M\":3,\"q4M\":4,\"q5M\":4,\"q6M\":4,\"q7M\":3,\"q8M\":4,\"q9M\":4,\"q10M\":4,\"q11M\":3,\"q12M\":1,\"q13M\":1,\"q14M\":1,\"q15M\":1,\"q16M\":1,\"q17M\":1,\"q18M\":1,\"q19M\":2,\"q20M\":5,\"q21M\":5,\"q22M\":5,\"q23M\":6,\"q24M\":6,\"q25M\":6,\"q26M\":1,\"q27M\":2,\"q28M\":1,\"q29M\":1,\"q30M\":1,\"q31M\":2,\"q32M\":1,\"q33M\":1,\"q34M\":1,\"q35M\":1,\"q36M\":1,\"q37M\":1,\"q38M\":1,\"q39M\":1,\"q40M\":1,\"q41M\":1,\"q42M\":1,\"q43M\":2,\"q44M\":1,\"q45M\":1,\"q46M\":1,\"q47M\":5,\"q1\":3,\"q3\":1,\"q4\":1,\"q5\":4,\"q6\":4,\"q8\":3,\"q10\":1,\"q13\":1,\"q14\":2,\"q15\":1,\"q16\":1,\"q17\":4,\"q18\":5,\"q19\":1,\"q20\":1,\"q22\":2,\"q23\":2,\"q25\":2,\"q26\":3,\"q27\":4,\"q28\":1,\"q29\":1,\"q30\":2,\"q31\":1,\"q32\":1,\"q33\":1,\"q34\":3,\"q35\":1,\"q36\":1,\"q37\":1,\"q38\":1,\"q39\":1,\"q40\":3,\"q41\":3,\"q42\":1,\"q43\":2,\"q44\":1,\"q45\":1,\"q46\":1,\"q47\":1,\"q48\":1,\"q49\":2,\"q50\":1,\"q51\":1,\"q52\":1,\"q53\":1,\"q54\":1,\"q55\":1,\"q56\":1,\"q57\":1,\"q58\":1,\"q59\":1,\"q60\":1,\"qv1\":2,\"qv2\":2,\"qv3\":2,\"qv4\":2,\"qv5\":2,\"qv6\":2,\"qv7\":2,\"qv8\":2,\"qv9\":2,\"qv10\":2,\"qv11\":2,\"qv12\":2,\"qv13\":2,\"qv14\":2,\"qv15\":2,\"qv16\":2,\"qv17\":2,\"qv18\":2,\"qv19\":2,\"qv20\":2,\"qv21\":2,\"qv22\":2,\"qv23\":2,\"qv24\":2,\"qv25\":2,\"qv26\":2}',\"2023-03-28 20:02:00\"),(\"merge1\",\"盖会存\",\"10\",'{\"Gender\":\"f\",\"Age\":\"M\",\"q1M\":2,\"q2M\":1,\"q3M\":2,\"q4M\":2,\"q5M\":2,\"q6M\":2,\"q7M\":2,\"q8M\":2,\"q9M\":2,\"q10M\":1,\"q11M\":6,\"q12M\":6,\"q13M\":6,\"q14M\":6,\"q15M\":5,\"q16M\":2,\"q17M\":2,\"q18M\":1,\"q19M\":1,\"q20M\":6,\"q21M\":6,\"q22M\":7,\"q23M\":6,\"q24M\":6,\"q25M\":7,\"q26M\":2,\"q27M\":1,\"q28M\":2,\"q29M\":3,\"q30M\":1,\"q31M\":3,\"q32M\":1,\"q33M\":3,\"q34M\":3,\"q35M\":1,\"q36M\":3,\"q37M\":3,\"q38M\":2,\"q39M\":3,\"q40M\":2,\"q41M\":2,\"q42M\":1,\"q43M\":1,\"q44M\":3,\"q45M\":3,\"q46M\":2,\"q47M\":1,\"q1\":2,\"q3\":4,\"q4\":4,\"q5\":5,\"q6\":2,\"q8\":4,\"q10\":4,\"q13\":4,\"q14\":4,\"q15\":5,\"q16\":4,\"q17\":4,\"q18\":4,\"q19\":4,\"q20\":1,\"q22\":4,\"q23\":2,\"q25\":1,\"q26\":1,\"q27\":2,\"q28\":4,\"q29\":4,\"q30\":4,\"q31\":2,\"q32\":2,\"q33\":4,\"q34\":2,\"q35\":1,\"q36\":2,\"q37\":1,\"q38\":3,\"q39\":4,\"q40\":1,\"q41\":1,\"q42\":4,\"q43\":2,\"q44\":3,\"q45\":3,\"q46\":2,\"q47\":2,\"q48\":4,\"q49\":4,\"q50\":5,\"q51\":3,\"q52\":4,\"q53\":1,\"q54\":2,\"q55\":1,\"q56\":3,\"q57\":1,\"q58\":1,\"q59\":1,\"q60\":1,\"qv1\":2,\"qv2\":1,\"qv3\":2,\"qv4\":2,\"qv5\":2,\"qv6\":2,\"qv7\":2,\"qv8\":1,\"qv9\":2,\"qv10\":2,\"qv11\":1,\"qv12\":1,\"qv13\":1,\"qv14\":2,\"qv15\":1,\"qv16\":1,\"qv17\":2,\"qv18\":2,\"qv19\":2,\"qv20\":2,\"qv21\":2,\"qv22\":2,\"qv23\":2,\"qv24\":1,\"qv25\":1,\"qv26\":2}',\"2023-03-28 20:02:00\"),(\"merge1\",\"刘华训\",\"437\",'{\"Gender\":\"m\",\"Age\":\"M\",\"q1M\":4,\"q2M\":4,\"q3M\":4,\"q4M\":3,\"q5M\":4,\"q6M\":4,\"q7M\":3,\"q8M\":3,\"q9M\":3,\"q10M\":4,\"q11M\":1,\"q12M\":2,\"q13M\":1,\"q14M\":2,\"q15M\":1,\"q16M\":2,\"q17M\":1,\"q18M\":2,\"q19M\":1,\"q20M\":6,\"q21M\":7,\"q22M\":7,\"q23M\":6,\"q24M\":7,\"q25M\":6,\"q26M\":3,\"q27M\":1,\"q28M\":2,\"q29M\":2,\"q30M\":1,\"q31M\":1,\"q32M\":1,\"q33M\":2,\"q34M\":2,\"q35M\":2,\"q36M\":2,\"q37M\":2,\"q38M\":2,\"q39M\":1,\"q40M\":1,\"q41M\":2,\"q42M\":1,\"q43M\":3,\"q44M\":1,\"q45M\":1,\"q46M\":1,\"q47M\":5,\"q1\":4,\"q3\":2,\"q4\":3,\"q5\":1,\"q6\":5,\"q8\":3,\"q10\":1,\"q13\":1,\"q14\":1,\"q15\":1,\"q16\":1,\"q17\":1,\"q18\":1,\"q19\":1,\"q20\":2,\"q22\":1,\"q23\":2,\"q25\":1,\"q26\":1,\"q27\":1,\"q28\":1,\"q29\":1,\"q30\":1,\"q31\":1,\"q32\":2,\"q33\":1,\"q34\":3,\"q35\":4,\"q36\":1,\"q37\":1,\"q38\":4,\"q39\":1,\"q40\":1,\"q41\":3,\"q42\":1,\"q43\":1,\"q44\":2,\"q45\":1,\"q46\":1,\"q47\":1,\"q48\":3,\"q49\":3,\"q50\":2,\"q51\":1,\"q52\":2,\"q53\":3,\"q54\":2,\"q55\":1,\"q56\":1,\"q57\":1,\"q58\":1,\"q59\":1,\"q60\":1,\"qv1\":2,\"qv2\":1,\"qv3\":1,\"qv4\":2,\"qv5\":1,\"qv6\":2,\"qv7\":1,\"qv8\":1,\"qv9\":2,\"qv10\":1,\"qv11\":2,\"qv12\":2,\"qv13\":2,\"qv14\":2,\"qv15\":2,\"qv16\":2,\"qv17\":2,\"qv18\":2,\"qv19\":2,\"qv20\":2,\"qv21\":2,\"qv22\":2,\"qv23\":2,\"qv24\":2,\"qv25\":2,\"qv26\":2}',\"2023-03-28 20:02:00\"),(\"merge1\",\"程军花\",\"433\",'{\"Gender\":\"f\",\"Age\":\"M\",\"q1M\":3,\"q2M\":3,\"q3M\":3,\"q4M\":3,\"q5M\":3,\"q6M\":3,\"q7M\":3,\"q8M\":1,\"q9M\":3,\"q10M\":4,\"q11M\":5,\"q12M\":6,\"q13M\":7,\"q14M\":2,\"q15M\":2,\"q16M\":2,\"q17M\":2,\"q18M\":6,\"q19M\":6,\"q20M\":4,\"q21M\":4,\"q22M\":5,\"q23M\":5,\"q24M\":5,\"q25M\":5,\"q26M\":2,\"q27M\":3,\"q28M\":1,\"q29M\":4,\"q30M\":4,\"q31M\":2,\"q32M\":1,\"q33M\":4,\"q34M\":4,\"q35M\":1,\"q36M\":4,\"q37M\":4,\"q38M\":3,\"q39M\":2,\"q40M\":2,\"q41M\":3,\"q42M\":2,\"q43M\":2,\"q44M\":1,\"q45M\":1,\"q46M\":1,\"q47M\":3,\"q1\":1,\"q3\":3,\"q4\":4,\"q5\":4,\"q6\":3,\"q8\":4,\"q10\":3,\"q13\":4,\"q14\":2,\"q15\":4,\"q16\":5,\"q17\":5,\"q18\":5,\"q19\":1,\"q20\":1,\"q22\":3,\"q23\":2,\"q25\":2,\"q26\":3,\"q27\":3,\"q28\":4,\"q29Line truncated
]
}
],
@@ -655,7 +433,85 @@
"import openpyxl\n",
"import json\n",
"\n",
"filename = 'data/杨庙补充汇总信息.json'\n",
"filename = 'data/杨庙体测明确人员信息(20230328).json'\n",
"with open(filename,'r') as fl:\n",
" dict3 = json.load(fl)\n",
"wb = openpyxl.load_workbook('data/羊庙问卷统计表(成年组).xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"dict1 = {}\n",
"list_bh = []\n",
"no_xinli = [108,389,268,270]\n",
"zy = [2,7,9,11,12,21,24]\n",
"sheet = wb.active\n",
"data1 =list(sheet.values)\n",
"list_bh = data1[0][1:]\n",
"del data1[0]\n",
"\n",
"\n",
"for i in range(1,len(list_bh)+1):\n",
" list2 = []\n",
" \n",
" for item in data1:\n",
" list2.append(item[i])\n",
" dict1[list_bh[i-1]] = list2\n",
"#print(dict1)\n",
"s = ''\n",
"for k,v in dict1.items():\n",
" if str(k) in dict3.keys(): \n",
" if dict3[str(k)]['sex'] ==1:\n",
" sex = \"m\"\n",
" else:\n",
" sex = \"f\"\n",
" dict2 = {}\n",
" list_mx = []\n",
" list_mx.append(f'\"Gender\":\"{sex}\"')\n",
" list_mx.append(f'\"Age\":\"M\"')\n",
" dict2['surveyId'] = \"merge1\"\n",
" dict2['name'] = dict3[str(k)]['name'] \n",
" name = dict3[str(k)]['name'] \n",
" dict2['code'] = str(k)\n",
" ss = ''\n",
" \n",
" if k not in no_xinli:\n",
" for i in range(0,47):\n",
" list_mx.append(f'\"q{i+1}M\":{v[i]}') \n",
" \n",
" for i in range(1,61):\n",
" if i not in zy:\n",
" list_mx.append(f'\"q{i}\":{v[46+i]}')\n",
" for i in range(1,27):\n",
" list_mx.append(f'\"qv{i}\":{v[106+i]}')\n",
" ss = ','.join(list_mx)\n",
" ss ='{'+ss+'}'\n",
" dict2['data'] = ss\n",
" sj = '2023-03-28 20:02:00'\n",
" s= s+f'(\"merge1\",\"{name}\",\"{str(k)}\",\\'{ss}\\',\"{sj}\"),'\n",
" #print(dict2)\n",
"print(s)"
]
},
{
"cell_type": "markdown",
"id": "75dda87e-804e-42ba-b1a4-08c8a8b65050",
"metadata": {},
"source": [
"## 老年问卷导入"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "09a354e6-a07a-40b8-9b8c-3499fb0b7c28",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"\n",
"filename = 'data/杨庙体测明确人员信息(20230328).json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl)\n",
"wb = openpyxl.load_workbook('data/羊庙问卷统计表(老年组).xlsx')\n",
@@ -686,23 +542,23 @@
},
{
"cell_type": "markdown",
"id": "3262d713-92a4-4790-81a3-976ff308ee3d",
"id": "e2e311b1-7436-49e3-bf52-93c38f088be1",
"metadata": {},
"source": [
"## 统计网络问卷信息"
"## 老年问卷导出"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "08980670-fda9-4660-a619-2f5f5ed8d334",
"execution_count": 84,
"id": "f41e130b-06e5-45ee-bf3d-cc25dfcc653d",
"metadata": {
"execution": {
"iopub.execute_input": "2023-03-26T05:43:49.134911Z",
"iopub.status.busy": "2023-03-26T05:43:49.134063Z",
"iopub.status.idle": "2023-03-26T05:43:49.161445Z",
"shell.execute_reply": "2023-03-26T05:43:49.160406Z",
"shell.execute_reply.started": "2023-03-26T05:43:49.134869Z"
"iopub.execute_input": "2023-03-28T12:10:31.957839Z",
"iopub.status.busy": "2023-03-28T12:10:31.957400Z",
"iopub.status.idle": "2023-03-28T12:10:32.429259Z",
"shell.execute_reply": "2023-03-28T12:10:32.428247Z",
"shell.execute_reply.started": "2023-03-28T12:10:31.957811Z"
},
"tags": []
},
@@ -711,27 +567,92 @@
"name": "stdout",
"output_type": "stream",
"text": [
"68\n",
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"13156069338\n",
"15154688368\n",
"19854686796\n",
"13685465758\n",
"18678172677\n",
"18653397717\n",
"15006438600\n",
"13563354399\n",
"15666387708\n"
"(\"merge1\",\"郑云香\",\"192\",'{\"Gender\":\"f\",\"Age\":\"O\",\"q1O\":4,\"q2O\":2,\"q3O\":4,\"q4O\":4,\"q5O\":4,\"q6O\":4,\"q7O\":4,\"q8O\":4,\"q9O\":4,\"q10O\":5,\"q11O\":2,\"q12O\":3,\"q13O\":4,\"q14O\":4,\"q15O\":5,\"q16O\":4,\"q17O\":4,\"q18O\":3,\"q19O\":4,\"q20O\":4,\"q21O\":3,\"q22O\":4,\"q23O\":4,\"q24O\":3,\"q25O\":3,\"q26O\":3,\"q27O\":3,\"q28O\":3,\"q29O\":3,\"q30O\":3,\"q1\":4,\"q3\":3,\"q4\":1,\"q5\":4,\"q6\":4,\"q8\":4,\"q10\":4,\"q13\":5,\"q14\":4,\"q15\":4,\"q16\":4,\"q17\":4,\"q18\":5,\"q19\":4,\"q20\":2,\"q22\":3,\"q23\":3,\"q25\":3,\"q26\":4,\"q27\":4,\"q28\":5,\"q29\":3,\"q30\":3,\"q31\":3,\"q32\":3,\"q33\":4,\"q34\":1,\"q35\":1,\"q36\":2,\"q37\":1,\"q38\":3,\"q39\":5,\"q40\":1,\"q41\":2,\"q42\":1,\"q43\":1,\"q44\":4,\"q45\":3,\"q46\":1,\"q47\":2,\"q48\":2,\"q49\":2,\"q50\":3,\"q51\":1,\"q52\":2,\"q53\":1,\"q54\":1,\"q55\":2,\"q56\":2,\"q57\":1,\"q58\":1,\"q59\":1,\"q60\":1,\"qv1\":1,\"qv2\":1,\"qv3\":2,\"qv4\":2,\"qv5\":1,\"qv6\":1,\"qv7\":1,\"qv8\":2,\"qv9\":2,\"qv10\":2,\"qv11\":2,\"qv12\":2,\"qv13\":2,\"qv14\":2,\"qv15\":2,\"qv16\":2,\"qv17\":2,\"qv18\":1,\"qv19\":1,\"qv20\":2,\"qv21\":1,\"qv22\":2,\"qv23\":2,\"qv24\":1,\"qv25\":2,\"qv26\":2}',\"2023-03-28 20:02:00\"),(\"merge1\",\"孙秀兰\",\"190\",'{\"Gender\":\"f\",\"Age\":\"O\",\"q1O\":2,\"q2O\":3,\"q3O\":2,\"q4O\":1,\"q5O\":5,\"q6O\":5,\"q7O\":5,\"q8O\":3,\"q9O\":5,\"q10O\":1,\"q11O\":5,\"q12O\":5,\"q13O\":4,\"q14O\":4,\"q15O\":5,\"q16O\":5,\"q17O\":5,\"q18O\":1,\"q19O\":5,\"q20O\":5,\"q21O\":2,\"q22O\":4,\"q23O\":5,\"q24O\":2,\"q25O\":2,\"q26O\":5,\"q27O\":3,\"q28O\":1,\"q29O\":4,\"q30O\":3,\"q1\":3,\"q3\":3,\"q4\":2,\"q5\":4,\"q6\":4,\"q8\":4,\"q10\":1,\"q13\":1,\"q14\":1,\"q15\":1,\"q16\":3,\"q17\":4,\"q18\":5,\"q19\":5,\"q20\":1,\"q22\":1,\"q23\":2,\"q25\":1,\"q26\":3,\"q27\":1,\"q28\":1,\"q29\":1,\"q30\":2,\"q31\":1,\"q32\":1,\"q33\":1,\"q34\":2,\"q35\":5,\"q36\":1,\"q37\":1,\"q38\":5,\"q39\":1,\"q40\":3,\"q41\":1,\"q42\":3,\"q43\":1,\"q44\":4,\"q45\":1,\"q46\":1,\"q47\":1,\"q48\":3,\"q49\":2,\"q50\":4,\"q51\":1,\"q52\":3,\"q53\":1,\"q54\":1,\"q55\":1,\"q56\":1,\"q57\":1,\"q58\":1,\"q59\":1,\"q60\":1,\"qv1\":1,\"qv2\":1,\"qv3\":1,\"qv4\":1,\"qv5\":1,\"qv6\":2,\"qv7\":1,\"qv8\":2,\"qv9\":2,\"qv10\":2,\"qv11\":2,\"qv12\":2,\"qv13\":2,\"qv14\":2,\"qv15\":1,\"qv16\":2,\"qv17\":2,\"qv18\":1,\"qv19\":1,\"qv20\":2,\"qv21\":2,\"qv22\":2,\"qv23\":2,\"qv24\":2,\"qv25\":2,\"qv26\":1}',\"2023-03-28 20:02:00\"),(\"merge1\",\"王寿朋\",\"194\",'{\"Gender\":\"m\",\"Age\":\"O\",\"q1O\":3,\"q2O\":2,\"q3O\":2,\"q4O\":2,\"q5O\":3,\"q6O\":4,\"q7O\":4,\"q8O\":3,\"q9O\":4,\"q10O\":2,\"q11O\":4,\"q12O\":4,\"q13O\":4,\"q14O\":4,\"q15O\":4,\"q16O\":4,\"q17O\":4,\"q18O\":3,\"q19O\":4,\"q20O\":4,\"q21O\":4,\"q22O\":4,\"q23O\":4,\"q24O\":4,\"q25O\":4,\"q26O\":4,\"q27O\":3,\"q28O\":3,\"q29O\":3,\"q30O\":4,\"q1\":3,\"q3\":3,\"q4\":3,\"q5\":4,\"q6\":4,\"q8\":3,\"q10\":2,\"q13\":2,\"q14\":4,\"q15\":2,\"q16\":4,\"q17\":4,\"q18\":4,\"q19\":3,\"q20\":3,\"q22\":2,\"q23\":3,\"q25\":2,\"q26\":3,\"q27\":3,\"q28\":4,\"q29\":2,\"q30\":3,\"q31\":2,\"q32\":1,\"q33\":4,\"q34\":4,\"q35\":3,\"q36\":3,\"q37\":2,\"q38\":2,\"q39\":3,\"q40\":2,\"q41\":2,\"q42\":3,\"q43\":2,\"q44\":3,\"q45\":2,\"q46\":2,\"q47\":2,\"q48\":2,\"q49\":2,\"q50\":2,\"q51\":2,\"q52\":2,\"q53\":3,\"q54\":2,\"q55\":2,\"q56\":3,\"q57\":2,\"q58\":2,\"q59\":2,\"q60\":2,\"qv1\":1,\"qv2\":2,\"qv3\":2,\"qv4\":2,\"qv5\":2,\"qv6\":2,\"qv7\":2,\"qv8\":1,\"qv9\":1,\"qv10\":2,\"qv11\":1,\"qv12\":2,\"qv13\":2,\"qv14\":2,\"qv15\":2,\"qv16\":1,\"qv17\":2,\"qv18\":1,\"qv19\":2,\"qv20\":2,\"qv21\":2,\"qv22\":2,\"qv23\":1,\"qv24\":2,\"qv25\":2,\"qv26\":2}',\"2023-03-28 20:02:00\"),(\"merge1\",\"许春堂\",\"195\",'{\"Gender\":\"m\",\"Age\":\"O\",\"q1O\":2,\"q2O\":1,\"q3O\":1,\"q4O\":1,\"q5O\":5,\"q6O\":5,\"q7O\":5,\"q8O\":4,\"q9O\":5,\"q10O\":1,\"q11O\":4,\"q12O\":5,\"q13O\":5,\"q14O\":5,\"q15O\":5,\"q16O\":5,\"q17O\":5,\"q18O\":4,\"q19O\":2,\"q20O\":5,\"q21O\":4,\"q22O\":5,\"q23O\":5,\"q24O\":5,\"q25O\":5,\"q26O\":4,\"q27O\":4,\"q28O\":4,\"q29O\":4,\"q30O\":2,\"q1\":4,\"q3\":2,\"q4\":1,\"q5\":1,\"q6\":4,\"q8\":3,\"q10\":1,\"q13\":3,\"q14\":4,\"q15\":1,\"q16\":1,\"q17\":3,\"q18\":4,\"q19\":4,\"q20\":1,\"q22\":2,\"q23\":2,\"q25\":2,\"q26\":1,\"q27\":2,\"q28\":3,\"q29\":2,\"q30\":3,\"q31\":2,\"q32\":2,\"q33\":1,\"q34\":1,\"q35\":2,\"q36\":2,\"q37\":1,\"q38\":3,\"q39\":1,\"q40\":2,\"q41\":1,\"q42\":2,\"q43\":2,\"q44\":3,\"q45\":2,\"q46\":1,\"q47\":2,\"q48\":1,\"q49\":1,\"q50\":1,\"q51\":1,\"q52\":2,\"q53\":3,\"q54\":3,\"q55\":1,\"q56\":1,\"q57\":3,\"q58\":1,\"q59\":1,\"q60\":2,\"qv1\":2,\"qv2\":2,\"qv3\":1,\"qv4\":2,\"qv5\":1,\"qv6\":2,\"qv7\":2,\"qv8\":2,\"qv9\":1,\"qv10\":2,\"qv11\":1,\"qv12\":2,\"qv13\":2,\"qv14\":2,\"qv15\":2,\"qv16\":2,\"qv17\":2,\"qv18\":1,\"qv19\":2,\"qv20\":2,\"qv21\":2,\"qv22\":2,\"qv23\":2,\"qv24\":2,\"qv25\":2,\"qv26\":2}',\"2023-03-28 20:02:00\"),(\"merge1\",\"王连秀\",\"196\",'{\"Gender\":\"f\",\"Age\":\"O\",\"q1O\":1,\"q2O\":4,\"q3O\":2,\"q4O\":1,\"q5O\":5,\"q6O\":5,\Line truncated
]
}
],
"source": [
"import openpyxl\n",
"import json\n",
"\n",
"filename = 'data/杨庙体测明确人员信息(20230328).json'\n",
"with open(filename,'r') as fl:\n",
" dict3 = json.load(fl)\n",
"wb = openpyxl.load_workbook('data/羊庙问卷统计表(老年组).xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"dict1 = {}\n",
"\n",
"no_xinli = [286]\n",
"sheet = wb.active\n",
"data1 =list(sheet.values)\n",
"list_bh = data1[0][1:]\n",
"#print(list_bh)\n",
"del data1[0]\n",
"\n",
"for i in range(1,len(list_bh)+1):\n",
" list2 = []\n",
" \n",
" for item in data1:\n",
" list2.append(item[i])\n",
" dict1[list_bh[i-1]] = list2\n",
"#print(dict1)\n",
"s = ''\n",
"for k,v in dict1.items():\n",
" if str(k) in dict3.keys(): \n",
" if dict3[str(k)]['sex'] ==1:\n",
" sex = \"m\"\n",
" else:\n",
" sex = \"f\"\n",
" dict2 = {}\n",
" list_mx = []\n",
" list_mx.append(f'\"Gender\":\"{sex}\"')\n",
" list_mx.append(f'\"Age\":\"O\"')\n",
" dict2['surveyId'] = \"merge1\"\n",
" dict2['name'] = dict3[str(k)]['name'] \n",
" dict2['code'] = str(k) \n",
" name = dict3[str(k)]['name'] \n",
" if k not in no_xinli:\n",
" for i in range(0,30):\n",
" list_mx.append(f'\"q{i+1}O\":{v[i]}') \n",
" \n",
" for i in range(1,61):\n",
" if i not in zy:\n",
" list_mx.append(f'\"q{i}\":{v[29+i]}')\n",
" for i in range(1,27):\n",
" list_mx.append(f'\"qv{i}\":{v[89+i]}')\n",
" ss = ','.join(list_mx)\n",
" ss ='{'+ss+'}'\n",
" dict2['data'] = ss\n",
" sj = '2023-03-28 20:02:00'\n",
" s= s+f'(\"merge1\",\"{name}\",\"{str(k)}\",\\'{ss}\\',\"{sj}\"),'\n",
" #print(dict2)\n",
"print(s)"
]
},
{
"cell_type": "markdown",
"id": "3262d713-92a4-4790-81a3-976ff308ee3d",
"metadata": {},
"source": [
"## 统计网络问卷信息"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "08980670-fda9-4660-a619-2f5f5ed8d334",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"filename = 'data/merge1.json'\n",
"\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"#print(dict1)\n",
"filename = 'data/杨庙补充汇总信息.json'\n",
"filename = 'data/杨庙体测明确人员信息(20230328).json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl)\n",
"dict3 = {}\n",
@@ -745,15 +666,68 @@
" if 'phone' in v1.keys() and phone == v1['phone']:\n",
" dict3[phone]['bh'] = k1\n",
"print(dict3)\n",
"for k, v in dict3.items():\n",
"for k, v in dict2.items():\n",
" for k1, v1 in dict2.items():\n",
" \n",
" if 'bh' not in v.keys():\n",
" print(k)"
]
},
{
"cell_type": "markdown",
"id": "e06b0149-c1ff-4fd0-b692-1be391433f40",
"metadata": {},
"source": [
"# 按照测试编号管理"
]
},
{
"cell_type": "markdown",
"id": "54c8e75c-6d3a-4b0d-91a1-c5e9e79a119f",
"metadata": {},
"source": [
"## 导入测试人员信息表(符合条件)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f69677a3-57bb-43b0-9d62-38330d86bddd",
"id": "b51b73fa-97fa-473c-ab8a-d1fd958eb52a",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import openpyxl\n",
"import json\n",
"import time\n",
"\n",
"wb = openpyxl.load_workbook('data/杨庙体测明确人员信息表(20230328).xlsx')\n",
"sheet = wb.active\n",
"person = {}\n",
"for n in range(2, sheet.max_row+1):\n",
" code = int(sheet.cell(n, 1).value)\n",
" person.setdefault(code, {})\n",
" dict1 = {}\n",
" name = sheet.cell(n, 2).value \n",
" dict1['name'] = name\n",
" dict1['sex'] = sheet.cell(n, 3).value\n",
" dict1['birth'] = str(sheet.cell(n, 4).value).split(' ')[0]\n",
" if sheet.cell(n, 5).value is not None:\n",
" dict1['phone'] = str(sheet.cell(n, 5).value)\n",
" if sheet.cell(n,6).value is not None:\n",
" dict1['unit'] = sheet.cell(n,11).value\n",
" person[code] = dict1\n",
"filename = 'data/杨庙体测明确人员信息(20230328).json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False,default=str)\n",
"print('ok')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "02e73700-b9ce-4cb0-91ac-1d8e166b2a51",
"metadata": {},
"outputs": [],
"source": []