304 lines
9.1 KiB
Plaintext
304 lines
9.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "effb9eb3-27b3-4cc6-bed5-68f7e5279316",
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"metadata": {},
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"source": [
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"## 导入人员信息"
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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": 2,
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"id": "069af150-58fd-45ff-bab7-8fe1760abe91",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-15T14:25:29.264807Z",
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"iopub.status.busy": "2023-04-15T14:25:29.263987Z",
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"iopub.status.idle": "2023-04-15T14:25:29.959415Z",
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"shell.execute_reply": "2023-04-15T14:25:29.958603Z",
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"shell.execute_reply.started": "2023-04-15T14:25:29.264769Z"
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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 openpyxl\n",
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"import json\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/student_20140922(上地派出所监测花名册) .xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 4).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 6).value\n",
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" if sheet.cell(n, 7).value ==1:\n",
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" sex = '男'\n",
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" else:\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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"\n",
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" person[code] = dict1\n",
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"filename = 'data/上地派出所人员名单.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\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": "b5eb1f6a-a960-4d51-8c09-f77794926159",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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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": 4,
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"id": "d0cb294b-d403-4c4c-9de6-61ec98cf9797",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-15T14:31:21.405573Z",
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"iopub.status.busy": "2023-04-15T14:31:21.404701Z",
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"iopub.status.idle": "2023-04-15T14:31:21.431005Z",
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"shell.execute_reply": "2023-04-15T14:31:21.429944Z",
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"shell.execute_reply.started": "2023-04-15T14:31:21.405535Z"
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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 time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"filename = 'data/上地派出所人员名单.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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"re_ta = {}\n",
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"dict2 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息：\")\n",
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"filename = 'data/142.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[4])\n",
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" if user in dict1.keys():\n",
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" \n",
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" m_item = str(result[0]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" re_ta[user]['unit'] = dict1[user]['unit'] \n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[1])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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" re_ta[user][item_name]['得分'] =result[2]\n",
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"filename = 'data/result_上地派出所.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl) \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": "code",
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"execution_count": 6,
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"id": "78e461ac-1074-4bce-a2a5-4cd60f3b7ae2",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-15T14:36:06.348606Z",
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"iopub.status.busy": "2023-04-15T14:36:06.348205Z",
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"iopub.status.idle": "2023-04-15T14:36:06.363398Z",
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"shell.execute_reply": "2023-04-15T14:36:06.362284Z",
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"shell.execute_reply.started": "2023-04-15T14:36:06.348579Z"
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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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"44\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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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"filename = 'data/上地派出所人员名单.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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"re_ta = {}\n",
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"dict2 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息：\")\n",
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"filename = 'data/142.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[4])\n",
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" if user in dict1.keys():\n",
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" \n",
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" m_item = str(result[0]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" re_ta[user]['unit'] = dict1[user]['unit'] \n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[1])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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" re_ta[user][item_name]['得分'] =result[2]\n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f62cd919-feb9-4db1-aacc-09b3b8ea30c1",
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"metadata": {},
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"source": [
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"## 导出测试成绩"
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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": 5,
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"id": "eafc36e7-6a8d-4744-b5ff-9cc0c624c732",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-15T14:33:22.621334Z",
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"iopub.status.busy": "2023-04-15T14:33:22.620509Z",
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"iopub.status.idle": "2023-04-15T14:33:22.666051Z",
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"shell.execute_reply": "2023-04-15T14:33:22.665054Z",
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"shell.execute_reply.started": "2023-04-15T14:33:22.621295Z"
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},
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"tags": []
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},
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"outputs": [],
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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','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_上地派出所.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/上地派出所人员名单.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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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(v['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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" \n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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"filename = 'data/上地派出所体测情况表.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)"
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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": "6f7c8be9-8910-4570-bc09-45f464c77ce9",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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