20221124
This commit is contained in:
512song@sina.com committed
1 parent
47128a946b
commit
4e7890b05d
1 file changed
+219
-10
+219
-10
@@ -10,12 +10,27 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 9,
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"id": "1144aaac-92a0-4bcf-aba7-096f7dd3ad3b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-22T11:15:25.211385Z",
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"iopub.status.busy": "2022-11-22T11:15:25.211078Z",
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"iopub.status.idle": "2022-11-22T11:15:26.072431Z",
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"shell.execute_reply": "2022-11-22T11:15:26.071541Z",
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"shell.execute_reply.started": "2022-11-22T11:15:25.211360Z"
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},
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"tags": []
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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@@ -53,12 +68,27 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 26,
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"id": "a57ebb22-543c-4804-8d44-89984058ec1d",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-24T05:37:24.783810Z",
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"iopub.status.busy": "2022-11-24T05:37:24.783502Z",
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"iopub.status.idle": "2022-11-24T05:37:25.128566Z",
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"shell.execute_reply": "2022-11-24T05:37:25.127750Z",
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"shell.execute_reply.started": "2022-11-24T05:37:24.783783Z"
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},
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"tags": []
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import time\n",
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@@ -72,7 +102,7 @@
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"#SQL语句为：\n",
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"# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n",
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"#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n",
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"\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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@@ -113,9 +143,16 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 11,
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"id": "38397ad4-2bb3-4b5e-8ece-9ea11e801890",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-22T11:15:35.472641Z",
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"iopub.status.busy": "2022-11-22T11:15:35.472362Z",
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"iopub.status.idle": "2022-11-22T11:15:36.491702Z",
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"shell.execute_reply": "2022-11-22T11:15:36.490980Z",
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"shell.execute_reply.started": "2022-11-22T11:15:35.472615Z"
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},
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"tags": []
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},
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"outputs": [],
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@@ -152,7 +189,7 @@
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" list2.append('') \n",
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" \n",
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" list1.append(list2)\n",
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"filename = 'data/天津石化体测情况表（截至20221110）.xlsx'\n",
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"filename = 'data/天津石化体测情况表（截至20221122）.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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@@ -162,6 +199,81 @@
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "239ceb76-f690-4dae-991c-62c38d617c85",
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"metadata": {},
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"source": [
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"## 导出测试成绩(带得分)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"id": "27529013-f3de-4e23-980d-f62203e4df88",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-24T05:37:32.938028Z",
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"iopub.status.busy": "2022-11-24T05:37:32.937781Z",
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"iopub.status.idle": "2022-11-24T05:37:34.623378Z",
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"shell.execute_reply": "2022-11-24T05:37:34.622584Z",
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"shell.execute_reply.started": "2022-11-24T05:37:32.938006Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"title = ['编号','姓名','性别','单位/部门','车间/科室','身高','','体重','','肺活量','','握力','','坐位体前屈','','纵跳','','俯卧撑','','一分钟仰卧起坐','','单脚站立','','选择反应时','','台阶指数']\n",
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"filename = 'data/result_天津.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/天津石化人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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" \n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" #print(k,dict2[str(k)]['name'])\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(dict2[k]['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit']) \n",
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" list2.append(dict2[k]['sub_unit']) \n",
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" for item in items:\n",
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" if item in dict1[k].keys():\n",
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" list2.append(dict1[k][item]['成绩'])\n",
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" list2.append(dict1[k][item]['得分']) \n",
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" elif item =='name':\n",
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" list2.append(dict1[k][item])\n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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"filename = 'data/天津石化体测情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)\n",
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"print('ok') "
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]
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},
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{
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"cell_type": "markdown",
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"id": "1c7b219f-43cd-4bf0-971f-2c398f8db8ed",
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@@ -269,7 +381,7 @@
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"id": "838ec7d3-137c-4ccd-9f16-7b6312d1ffa6",
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"metadata": {},
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"source": [
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"### PDF文件压缩"
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"## PDF文件压缩"
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]
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},
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{
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@@ -328,12 +440,72 @@
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a0cc9662-4171-4c2a-828d-f58c327ec8c1",
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"metadata": {},
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"source": [
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"## 统计未测试人员名单"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"id": "daef91be-1b58-4fb1-b182-64f43c07c90f",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-22T12:27:28.133048Z",
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"iopub.status.busy": "2022-11-22T12:27:28.132742Z",
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"iopub.status.idle": "2022-11-22T12:27:28.320603Z",
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"shell.execute_reply": "2022-11-22T12:27:28.319820Z",
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"shell.execute_reply.started": "2022-11-22T12:27:28.133020Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok!\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"title = ['编号','姓名','性别','单位/部门','车间/科室']\n",
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"filename = 'data/天津石化人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"filename = 'data/result_天津.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"\n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" list2 = []\n",
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" if k not in dict2.keys(): \n",
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" list2 = [k,dict1[k]['name'],dict1[k]['sex'],dict1[k]['unit'],dict1[k]['sub_unit'],] \n",
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" list1.append(list2)\n",
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"filename = 'data/天津石化未参加体测人数统计表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)\n",
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"print('ok!')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "72c693e1-dd7c-40fa-8948-4fd6fbea8ddc",
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"metadata": {},
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"source": [
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"### 区分新文件"
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"## 区分新文件"
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]
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},
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{
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@@ -363,8 +535,45 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 19,
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"id": "32b61559-4495-4fbe-8eb6-2614e6225b5c",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-11-22T12:25:04.603031Z",
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"iopub.status.busy": "2022-11-22T12:25:04.602768Z",
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"iopub.status.idle": "2022-11-22T12:25:04.677363Z",
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"shell.execute_reply": "2022-11-22T12:25:04.676559Z",
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"shell.execute_reply.started": "2022-11-22T12:25:04.603008Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"4741 6493\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"title = ['编号','姓名','性别','单位/部门','车间/科室']\n",
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"filename = 'data/天津石化人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"filename = 'data/result_天津.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"print(len(dict2),len(dict1),)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e7d4e4b4-a44c-44c2-9c21-7f1d4f8ac6bd",
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"metadata": {},
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"outputs": [],
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"source": []
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Reference in new issue
Block a user