From 3c8e9c51573fc8f3ffe397060482f6b763be6832 Mon Sep 17 00:00:00 2001 From: 512song Date: Sat, 6 May 2023 21:32:55 +0800 Subject: [PATCH] 20230506 --- 体测单位/上地派出所.ipynb | 206 ++++++++++++++++++++++----------- 体测单位/淄博交警支队.ipynb | 209 ++++++++++++++++++++++++++++++++- 体测单位/淄博高新区.ipynb | 199 ++++++++++++++++++++++++++++++- 体测单位/燕山石化.ipynb | 225 ++++++++++++++++++++++++------------ 体测单位/石家庄石化.ipynb | 30 ++--- 体测单位/长炼医院.ipynb | 36 +++--- 体质检测管理.ipynb | 2 +- 文件操作.ipynb | 12 +- 8 files changed, 728 insertions(+), 191 deletions(-) diff --git a/体测单位/上地派出所.ipynb b/体测单位/上地派出所.ipynb index 7afb2fa..4ebfcf8 100644 --- a/体测单位/上地派出所.ipynb +++ b/体测单位/上地派出所.ipynb @@ -72,15 +72,15 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 10, "id": "d0cb294b-d403-4c4c-9de6-61ec98cf9797", "metadata": { "execution": { - "iopub.execute_input": "2023-04-15T14:31:21.405573Z", - "iopub.status.busy": "2023-04-15T14:31:21.404701Z", - "iopub.status.idle": "2023-04-15T14:31:21.431005Z", - "shell.execute_reply": "2023-04-15T14:31:21.429944Z", - "shell.execute_reply.started": "2023-04-15T14:31:21.405535Z" + "iopub.execute_input": "2023-05-05T06:41:07.266525Z", + "iopub.status.busy": "2023-05-05T06:41:07.266100Z", + "iopub.status.idle": "2023-05-05T06:41:07.287905Z", + "shell.execute_reply": "2023-05-05T06:41:07.286990Z", + "shell.execute_reply.started": "2023-05-05T06:41:07.266497Z" }, "tags": [] }, @@ -121,36 +121,44 @@ " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", - " user = str(result[4])\n", + " user = str(result[2])\n", " if user in dict1.keys():\n", " \n", - " m_item = str(result[0]) \n", + " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex']\n", " re_ta[user]['unit'] = dict1[user]['unit'] \n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", - " score = int(result[1])/item[m_item]['divisor'] \n", + " score = int(result[4])/item[m_item]['divisor'] \n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", - " re_ta[user][item_name]['得分'] =result[2]\n", - "filename = 'data/result_上地派出所.json'\n", + " re_ta[user][item_name]['得分'] =result[5]\n", + "filename = 'data/result_上地派出所1.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, + { + "cell_type": "markdown", + "id": "ac363a21-83aa-42e5-a82b-fd051e4b86a7", + "metadata": {}, + "source": [ + "## 计算测试成绩平均分" + ] + }, { "cell_type": "code", - "execution_count": 6, - "id": "78e461ac-1074-4bce-a2a5-4cd60f3b7ae2", + "execution_count": 19, + "id": "4f5a8416-3536-4c52-bfdc-758420e519d3", "metadata": { "execution": { - "iopub.execute_input": "2023-04-15T14:36:06.348606Z", - "iopub.status.busy": "2023-04-15T14:36:06.348205Z", - "iopub.status.idle": "2023-04-15T14:36:06.363398Z", - "shell.execute_reply": "2023-04-15T14:36:06.362284Z", - "shell.execute_reply.started": "2023-04-15T14:36:06.348579Z" + "iopub.execute_input": "2023-05-05T07:17:09.764428Z", + "iopub.status.busy": "2023-05-05T07:17:09.763611Z", + "iopub.status.idle": "2023-05-05T07:17:09.782569Z", + "shell.execute_reply": "2023-05-05T07:17:09.781678Z", + "shell.execute_reply.started": "2023-05-05T07:17:09.764387Z" }, "tags": [] }, @@ -159,52 +167,37 @@ "name": "stdout", "output_type": "stream", "text": [ - "44\n" + "ok\n" ] } ], "source": [ "import json\n", - "import time\n", - "import csv\n", + "import openpyxl\n", "\n", - "filename = '../item.json'\n", - "item = {}\n", - "unit = {}\n", + "items = ['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", + "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", + "filename = 'data/result_上地派出所1.json'\n", "with open(filename,'r') as fl:\n", - " dict1 = json.load(fl) \n", - "for k,v in dict1.items():\n", - " item[k] = v\n", - "filename = 'data/上地派出所人员名单.json'\n", - "with open(filename,'r') as fl:\n", - " dict1 = json.load(fl) \n", - "re_ta = {}\n", - "dict2 = {}\n", - "list1 = []\n", - "#print(\"\\n运动项目信息：\")\n", - "filename = 'data/142.csv'\n", - "with open(filename,'r',newline='') as csv_file:\n", - " fl = csv.reader(csv_file,delimiter=',')\n", - " header = next(fl) \n", - " for line in fl:\n", - " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", - " list1.append(line)\n", - "#print(list1)\n", - "for result in list1:\n", - " user = str(result[4])\n", - " if user in dict1.keys():\n", + " dict1 = json.load(fl)\n", + "\n", + "for k, v in dict1.items():\n", + " i = 0\n", + " score = 0\n", + " for k1, v1 in v.items():\n", " \n", - " m_item = str(result[0]) \n", - " re_ta.setdefault(user,{}) \n", - " re_ta[user]['name'] = dict1[user]['name']\n", - " re_ta[user]['sex'] = dict1[user]['sex']\n", - " re_ta[user]['unit'] = dict1[user]['unit'] \n", - " item_name = item[m_item]['name']\n", - " re_ta[user].setdefault(item_name,{}) \n", - " score = int(result[1])/item[m_item]['divisor'] \n", - " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", - " re_ta[user][item_name]['得分'] =result[2]\n", - "print(len(re_ta))" + " if k1 in items:\n", + " score = score + int(v1['得分'])\n", + " i = i + 1\n", + " pjf = score / i\n", + " dict1[k]['总分'] = score\n", + " dict1[k]['平均分'] = round(score / i,2)\n", + "filename = 'data/result_上地派出所.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl) \n", + "print('ok')\n", + " \n", + " " ] }, { @@ -217,15 +210,15 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 22, "id": "eafc36e7-6a8d-4744-b5ff-9cc0c624c732", "metadata": { "execution": { - "iopub.execute_input": "2023-04-15T14:33:22.621334Z", - "iopub.status.busy": "2023-04-15T14:33:22.620509Z", - "iopub.status.idle": "2023-04-15T14:33:22.666051Z", - "shell.execute_reply": "2023-04-15T14:33:22.665054Z", - "shell.execute_reply.started": "2023-04-15T14:33:22.621295Z" + "iopub.execute_input": "2023-05-05T07:19:08.537806Z", + "iopub.status.busy": "2023-05-05T07:19:08.536964Z", + "iopub.status.idle": "2023-05-05T07:19:08.596852Z", + "shell.execute_reply": "2023-05-05T07:19:08.595844Z", + "shell.execute_reply.started": "2023-05-05T07:19:08.537767Z" }, "tags": [] }, @@ -235,7 +228,7 @@ "import openpyxl\n", "\n", "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", - "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", + "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", "filename = 'data/result_上地派出所.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", @@ -248,17 +241,20 @@ "for k, v in dict1.items():\n", " list2 = []\n", " list2.append(str(k).rjust(5,'0'))\n", - " list2.append(v['name']) \n", + " list2.append(dict2[k]['name']) \n", " list2.append(dict2[k]['sex'])\n", - " list2.append(dict2[k]['unit']) \n", - " \n", + " list2.append(dict2[k]['unit'])\n", " for item in items:\n", - " if item in v.keys():\n", - " list2.append(v[item]['成绩']) \n", + " if item in dict1[k].keys():\n", + " list2.append(dict1[k][item]['成绩'])\n", + " list2.append(dict1[k][item]['得分']) \n", " elif item =='name':\n", - " list2.append(v[item])\n", + " list2.append(dict1[k][item])\n", " else:\n", " list2.append('') \n", + " list2.append('')\n", + " list2.append(dict1[k]['总分'])\n", + " list2.append(dict1[k]['平均分'])\n", " list1.append(list2)\n", "filename = 'data/上地派出所体测情况表.xlsx'\n", "wb = openpyxl.Workbook()\n", @@ -270,10 +266,80 @@ "wb.save(filename)" ] }, + { + "cell_type": "markdown", + "id": "c6ef75ff-0aa5-422d-a21c-98e2ebe89672", + "metadata": {}, + "source": [ + "## 统计项目平均分" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "228b4f0c-deac-41e7-a995-e6d3ea4a0cdf", + "metadata": { + "execution": { + "iopub.execute_input": "2023-05-05T08:40:23.243572Z", + "iopub.status.busy": "2023-05-05T08:40:23.242724Z", + "iopub.status.idle": "2023-05-05T08:40:23.257387Z", + "shell.execute_reply": "2023-05-05T08:40:23.256275Z", + "shell.execute_reply.started": "2023-05-05T08:40:23.243532Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "体重 3.18\n", + "肺活量 3.75\n", + "握力 2.23\n", + "坐位体前屈 2.79\n", + "纵跳 2.72\n", + "俯卧撑 3.24\n", + "一分钟仰卧起坐 3.83\n", + "单脚站立 1.77\n", + "选择反应时 3.73\n", + "台阶指数 2.52\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "items = ['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", + "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", + "filename = 'data/result_上地派出所.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/上地派出所人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + " \n", + "list1 = []\n", + "\n", + "for item in items:\n", + " i = 0\n", + " score = 0\n", + " for k, v in dict1.items():\n", + " if item in v.keys():\n", + " score = int(v[item]['得分']) + score \n", + " i = i + 1\n", + " \n", + " \n", + " print(item,round(score/i,2)) \n", + " \n", + " \n" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "6f7c8be9-8910-4570-bc09-45f464c77ce9", + "id": "fc3c36c2-4697-4709-b755-ec6ade9451bd", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/淄博交警支队.ipynb b/体测单位/淄博交警支队.ipynb index a754db9..d4c3012 100644 --- a/体测单位/淄博交警支队.ipynb +++ b/体测单位/淄博交警支队.ipynb @@ -1162,10 +1162,217 @@ "wb.save(filename)" ] }, + { + "cell_type": "markdown", + "id": "b0f8f072-c8d2-4259-8785-4f2a37a06b66", + "metadata": {}, + "source": [ + "### 生成参加评测人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "ec6779c9-4cf2-4fb9-b6ce-430eeca07046", + "metadata": { + "execution": { + "iopub.execute_input": "2023-05-05T00:42:59.292182Z", + "iopub.status.busy": "2023-05-05T00:42:59.291341Z", + "iopub.status.idle": "2023-05-05T00:42:59.515203Z", + "shell.execute_reply": "2023-05-05T00:42:59.514466Z", + "shell.execute_reply.started": "2023-05-05T00:42:59.292142Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "452\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "import glob,os,shutil\n", + "from pathlib2 import Path\n", + "import csv\n", + "\n", + "wb = openpyxl.load_workbook('data/淄博交警支队人员名单（排序花名册）.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "depart = []\n", + "for n in range(2, sheet.max_row+1):\n", + " if sheet.cell(n,2).value is None:\n", + " break\n", + " else: \n", + " phone = sheet.cell(n, 5).value \n", + " person.setdefault(phone, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value \n", + " xb = str(sheet.cell(n, 3).value)\n", + " if xb == '1':\n", + " sex = '男'\n", + " elif xb =='2':\n", + " sex = '女'\n", + " dict1['sex'] = sex\n", + " dict1['unit'] = sheet.cell(n, 1).value\n", + " person[phone] = dict1\n", + "list1 = []\n", + "dict1 = {}\n", + "old = []\n", + "fi_path = 'file/132/20230425'\n", + "fl=glob.glob(f'{fi_path}/*.pdf')\n", + "print(len(fl))\n", + "for fn in fl:\n", + " phone = Path(fn).stem\n", + " if phone in person.keys():\n", + " name = person[phone]['name']\n", + " unit = person[phone]['unit']\n", + " sex = person[phone]['sex']\n", + " else:\n", + " name = ''\n", + " unit ='未明确部门'\n", + " sex = ''\n", + " if unit not in depart:\n", + " depart.append(unit)\n", + " dict1[phone] = {'name':name,'unit':unit,'sex':sex}\n", + "filename = 'data/淄博交警参加测评人员.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl,ensure_ascii=False) " + ] + }, + { + "cell_type": "markdown", + "id": "f9686f85-2d33-4e4d-8d4d-498237c26d2c", + "metadata": {}, + "source": [ + "### 生成心理测评人员明细" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "b915259c-755b-4d8a-98f0-ef8707624b38", + "metadata": { + "execution": { + "iopub.execute_input": "2023-05-05T00:43:56.396524Z", + "iopub.status.busy": "2023-05-05T00:43:56.395990Z", + "iopub.status.idle": "2023-05-05T00:43:56.874426Z", + "shell.execute_reply": "2023-05-05T00:43:56.873679Z", + "shell.execute_reply.started": "2023-05-05T00:43:56.396492Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "import csv\n", + "filename = 'data/淄博交警参加测评人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "cjry = set()\n", + "filename = 'data/Survey_20230424-psy3.csv'\n", + "list2 = []\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", + " phone = str(line[2])\n", + " result = json.loads(line[5]) \n", + " \n", + " if phone in dict1.keys():\n", + " list1 = []\n", + " \n", + " list1.append(phone)\n", + " list1.append(dict1[phone]['name'])\n", + " list1.append(dict1[phone]['sex'])\n", + " list1.append(dict1[phone]['unit'])\n", + " #print(k,v['phone'],type(result))\n", + " for k1, v1 in result.items():\n", + " list1.append(v1)\n", + " list2.append(list1)\n", + "filename = 'data/交警心理评估明细表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "#sheet.append(title)\n", + "for row in list2:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, + { + "cell_type": "markdown", + "id": "b19438f4-1fbe-480f-9809-3db7af008812", + "metadata": {}, + "source": [ + "### 生成中医测评人员明细" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "596b26a5-42cc-400f-8c6f-39bfa0fb9233", + "metadata": { + "execution": { + "iopub.execute_input": "2023-05-05T00:46:28.321827Z", + "iopub.status.busy": "2023-05-05T00:46:28.321422Z", + "iopub.status.idle": "2023-05-05T00:46:28.612694Z", + "shell.execute_reply": "2023-05-05T00:46:28.612003Z", + "shell.execute_reply.started": "2023-05-05T00:46:28.321799Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "import csv\n", + "filename = 'data/淄博交警参加测评人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "cjry = set()\n", + "filename = 'data/Survey_20230424-tcm5.csv'\n", + "list2 = []\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", + " phone = str(line[2])\n", + " result = json.loads(line[5]) \n", + " \n", + " if phone in dict1.keys():\n", + " list1 = []\n", + " \n", + " list1.append(phone)\n", + " list1.append(dict1[phone]['name'])\n", + " list1.append(dict1[phone]['sex'])\n", + " list1.append(dict1[phone]['unit'])\n", + " #print(k,v['phone'],type(result))\n", + " for k1, v1 in result.items():\n", + " list1.append(v1)\n", + " list2.append(list1)\n", + "filename = 'data/交警中医评估明细表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "#sheet.append(title)\n", + "for row in list2:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "c26f4d44-d58d-4a37-a117-ac4a90a67866", + "id": "eac36b4d-943b-4d1f-9d64-f1c63daf7b40", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/淄博高新区.ipynb b/体测单位/淄博高新区.ipynb index 312c0a8..2a849fb 100644 --- a/体测单位/淄博高新区.ipynb +++ b/体测单位/淄博高新区.ipynb @@ -96,7 +96,7 @@ "id": "a430da5f-1e5c-447f-96a1-344d03e57b31", "metadata": {}, "source": [ - "### 统计心理测评人员" + "### 统计未参加心理测评人员" ] }, { @@ -139,6 +139,82 @@ "wb.save(filename)" ] }, + { + "cell_type": "markdown", + "id": "18b228d6-de4c-4274-b91e-53ca916d15cc", + "metadata": { + "execution": { + "iopub.execute_input": "2023-05-04T13:23:00.486920Z", + "iopub.status.busy": "2023-05-04T13:23:00.486074Z", + "iopub.status.idle": "2023-05-04T13:23:00.491430Z", + "shell.execute_reply": "2023-05-04T13:23:00.490205Z", + "shell.execute_reply.started": "2023-05-04T13:23:00.486878Z" + }, + "tags": [] + }, + "source": [ + "### 生成心理测评人员明细" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "2909ec13-dd9e-4101-baee-d305a5804d36", + "metadata": { + "execution": { + "iopub.execute_input": "2023-05-04T14:05:07.858342Z", + "iopub.status.busy": "2023-05-04T14:05:07.857920Z", + "iopub.status.idle": "2023-05-04T14:05:08.265951Z", + "shell.execute_reply": "2023-05-04T14:05:08.265237Z", + "shell.execute_reply.started": "2023-05-04T14:05:07.858314Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "import csv\n", + "filename = 'data/高新区.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "cjry = set()\n", + "filename = 'data/Survey_20230424-psy.csv'\n", + "list2 = []\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", + " phone = str(line[2])\n", + " result = json.loads(line[5])\n", + " \n", + " for k, v in dict1.items():\n", + " if 'phone' in v.keys() and v['phone'] == phone:\n", + " list1 = []\n", + " list1.append(k)\n", + " list1.append(phone)\n", + " list1.append(v['name'])\n", + " list1.append(v['sex'])\n", + " if 'unit' in v.keys():\n", + " unit = v['unit']\n", + " else:\n", + " unit = ' '\n", + " list1.append(unit)\n", + " #print(k,v['phone'],type(result))\n", + " for k1, v1 in result.items():\n", + " list1.append(v1)\n", + " list2.append(list1)\n", + "filename = 'data/高新心理评估明细表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "#sheet.append(title)\n", + "for row in list2:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, { "cell_type": "markdown", "id": "519d9b3a-d0d8-44aa-a17d-65e7f21f088b", @@ -187,6 +263,73 @@ "wb.save(filename)" ] }, + { + "cell_type": "markdown", + "id": "d1edbc30-71a4-438d-ba35-a450f1519b7d", + "metadata": {}, + "source": [ + "### 生成中医测评人员明细" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "57adb577-f1fb-48ee-aed9-985bb44030b5", + "metadata": { + "execution": { + "iopub.execute_input": "2023-05-04T14:26:36.375248Z", + "iopub.status.busy": "2023-05-04T14:26:36.374749Z", + "iopub.status.idle": "2023-05-04T14:26:36.793076Z", + "shell.execute_reply": "2023-05-04T14:26:36.792383Z", + "shell.execute_reply.started": "2023-05-04T14:26:36.375200Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "import csv\n", + "filename = 'data/高新区.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "cjry = set()\n", + "filename = 'data/Survey_20230424-tcm1.csv'\n", + "list2 = []\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", + " phone = str(line[2])\n", + " result = json.loads(line[5])\n", + " \n", + " for k, v in dict1.items():\n", + " if 'phone' in v.keys() and v['phone'] == phone:\n", + " list1 = []\n", + " list1.append(k)\n", + " list1.append(phone)\n", + " list1.append(v['name'])\n", + " list1.append(v['sex'])\n", + " if 'unit' in v.keys():\n", + " unit = v['unit']\n", + " else:\n", + " unit = ' '\n", + " list1.append(unit)\n", + " #print(k,v['phone'],type(result))\n", + " for k1, v1 in result.items():\n", + " list1.append(v1)\n", + " list2.append(list1)\n", + "filename = 'data/高新中医明细表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "#sheet.append(title)\n", + "for row in list2:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] + }, { "cell_type": "markdown", "id": "0b717a78-52db-4894-83c6-731a4935a02d", @@ -427,13 +570,63 @@ "wb.save(filename)" ] }, + { + "cell_type": "markdown", + "id": "5b14e6f4-2587-4819-ab97-8ec70a39a2ac", + "metadata": {}, + "source": [ + "### 心理测评计分分析" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "f5910a5a-05a5-404f-b3e9-eca86226e244", + "id": "0274163c-ae65-41a4-bb27-ba9077a365db", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "import openpyxl\n", + "import json\n", + "import csv\n", + "filename = 'data/高新区.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "cjry = set()\n", + "filename = 'data/Survey_20230424-psy.csv'\n", + "list2 = []\n", + "with open(filename,'r',newline='') as csv_file:\n", + " fl = csv.reader(csv_file,delimiter=',')\n", + " header = next(fl) \n", + " for line in fl:\n", + " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", + " phone = str(line[2])\n", + " result = json.loads(line[5])\n", + " \n", + " for k, v in dict1.items():\n", + " if 'phone' in v.keys() and v['phone'] == phone:\n", + " list1 = []\n", + " list1.append(k)\n", + " list1.append(phone)\n", + " list1.append(v['name'])\n", + " list1.append(v['sex'])\n", + " if 'unit' in v.keys():\n", + " unit = v['unit']\n", + " else:\n", + " unit = ' '\n", + " list1.append(unit)\n", + " #print(k,v['phone'],type(result))\n", + " for k1, v1 in result.items():\n", + " list1.append(v1)\n", + " list2.append(list1)\n", + "filename = 'data/高新心理评估明细表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "#sheet.append(title)\n", + "for row in list2:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename)" + ] } ], "metadata": { diff --git a/体测单位/燕山石化.ipynb b/体测单位/燕山石化.ipynb index da67544..edcbe0e 100644 --- a/体测单位/燕山石化.ipynb +++ b/体测单位/燕山石化.ipynb @@ -10,15 +10,15 @@ }, { "cell_type": "code", - "execution_count": 153, + "execution_count": 189, "id": "1b92b7c5-cb77-49da-95b7-34827ecf1d16", "metadata": { "execution": { - "iopub.execute_input": "2023-05-04T11:27:38.797630Z", - "iopub.status.busy": "2023-05-04T11:27:38.796775Z", - "iopub.status.idle": "2023-05-04T11:27:41.228231Z", - "shell.execute_reply": "2023-05-04T11:27:41.227480Z", - "shell.execute_reply.started": "2023-05-04T11:27:38.797589Z" + "iopub.execute_input": "2023-05-06T12:34:05.214342Z", + "iopub.status.busy": "2023-05-06T12:34:05.213544Z", + "iopub.status.idle": "2023-05-06T12:34:07.669288Z", + "shell.execute_reply": "2023-05-06T12:34:07.668464Z", + "shell.execute_reply.started": "2023-05-06T12:34:05.214303Z" }, "tags": [] }, @@ -89,15 +89,15 @@ }, { "cell_type": "code", - "execution_count": 154, + "execution_count": 190, "id": "71e1ec6a-6797-4496-969a-1d1461b9ea58", "metadata": { "execution": { - "iopub.execute_input": "2023-05-04T11:27:59.843239Z", - "iopub.status.busy": "2023-05-04T11:27:59.842790Z", - "iopub.status.idle": "2023-05-04T11:28:00.142474Z", - "shell.execute_reply": "2023-05-04T11:28:00.141539Z", - "shell.execute_reply.started": "2023-05-04T11:27:59.843195Z" + "iopub.execute_input": "2023-05-06T12:34:21.357836Z", + "iopub.status.busy": "2023-05-06T12:34:21.356991Z", + "iopub.status.idle": "2023-05-06T12:34:21.689244Z", + "shell.execute_reply": "2023-05-06T12:34:21.688513Z", + "shell.execute_reply.started": "2023-05-06T12:34:21.357796Z" }, "tags": [] }, @@ -106,9 +106,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "466\n", - "466\n", - "4602\n" + "399\n", + "999 张术申 已测试！\n", + "399\n", + "5478\n" ] } ], @@ -131,7 +132,7 @@ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", - "filename = 'data/places_result_20230504.csv'\n", + "filename = 'data/places_result_20230506.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -164,7 +165,7 @@ " else:\n", " for k1,v1 in v.items():\n", " dict2[k][k1] = v1\n", - "filename = 'data/result_燕山石化（20230504）.json'\n", + "filename = 'data/result_燕山石化（20230506）.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))\n", @@ -184,15 +185,15 @@ }, { "cell_type": "code", - "execution_count": 156, + "execution_count": 191, "id": "c24880ad-bbbd-4ad8-a894-cbcea389e822", "metadata": { "execution": { - "iopub.execute_input": "2023-05-04T11:28:48.304876Z", - "iopub.status.busy": "2023-05-04T11:28:48.304030Z", - "iopub.status.idle": "2023-05-04T11:28:48.493153Z", - "shell.execute_reply": "2023-05-04T11:28:48.492438Z", - "shell.execute_reply.started": "2023-05-04T11:28:48.304834Z" + "iopub.execute_input": "2023-05-06T12:36:51.312280Z", + "iopub.status.busy": "2023-05-06T12:36:51.311429Z", + "iopub.status.idle": "2023-05-06T12:36:51.482418Z", + "shell.execute_reply": "2023-05-06T12:36:51.481718Z", + "shell.execute_reply.started": "2023-05-06T12:36:51.312239Z" }, "tags": [] }, @@ -204,7 +205,7 @@ "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", "title = ['编号','姓名','性别','单位','车间','班组','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", "\n", - "filename = 'data/result_燕山石化（20230504）.json'\n", + "filename = 'data/result_燕山石化（20230506）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", @@ -229,7 +230,7 @@ " else:\n", " list2.append('') \n", " list1.append(list2)\n", - "filename = 'data/燕山石化体测情况表(20230504).xlsx'\n", + "filename = 'data/燕山石化体测情况表(20230506).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", @@ -249,15 +250,15 @@ }, { "cell_type": "code", - "execution_count": 157, + "execution_count": 161, "id": "68454877-f1fe-4eed-8a48-265e428f892e", "metadata": { "execution": { - "iopub.execute_input": "2023-05-04T11:29:06.618769Z", - "iopub.status.busy": "2023-05-04T11:29:06.617928Z", - "iopub.status.idle": "2023-05-04T11:29:06.651954Z", - "shell.execute_reply": "2023-05-04T11:29:06.651052Z", - "shell.execute_reply.started": "2023-05-04T11:29:06.618729Z" + "iopub.execute_input": "2023-05-05T13:17:08.413642Z", + "iopub.status.busy": "2023-05-05T13:17:08.412783Z", + "iopub.status.idle": "2023-05-05T13:17:08.447423Z", + "shell.execute_reply": "2023-05-05T13:17:08.446331Z", + "shell.execute_reply.started": "2023-05-05T13:17:08.413601Z" }, "tags": [] }, @@ -266,7 +267,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'储运厂工会': 254, '合成树脂厂': 114, '检验计量中心工会': 13, '合成橡胶厂工会': 19, '炼油厂工会': 26, '化学品厂工会': 17, '烯烃厂工会': 12, '热电厂工会': 11}\n" + "{'储运厂工会': 216, '合成树脂厂': 93, '热电厂工会': 31, '合成橡胶厂工会': 34, '检验计量中心工会': 14, '化学品厂工会': 35, '烯烃厂工会': 9, '炼油厂工会': 40, '有机化工厂工会': 4, '机关工会': 2, '行政事务中心（离退中心）工会': 1, '物装中心工会': 1}\n" ] } ], @@ -274,7 +275,7 @@ "import json\n", "import openpyxl\n", "\n", - "filename = 'data/result_燕山石化（20230504）.json'\n", + "filename = 'data/result_燕山石化（20230505）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "dict2 = {}\n", @@ -289,7 +290,7 @@ " list2 = []\n", " list2 = [k,v]\n", " list1.append(list2)\n", - "filename = 'data/燕山石化部门测试人数情况表(20230504).xlsx'\n", + "filename = 'data/燕山石化部门测试人数情况表(20230505).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", @@ -366,15 +367,15 @@ }, { "cell_type": "code", - "execution_count": 148, + "execution_count": 195, "id": "eddf7dab-b28d-402a-aeaf-27c120048ecb", "metadata": { "execution": { - "iopub.execute_input": "2023-04-27T12:02:16.168114Z", - "iopub.status.busy": "2023-04-27T12:02:16.167671Z", - "iopub.status.idle": "2023-04-27T12:02:16.802793Z", - "shell.execute_reply": "2023-04-27T12:02:16.802099Z", - "shell.execute_reply.started": "2023-04-27T12:02:16.168084Z" + "iopub.execute_input": "2023-05-06T12:57:06.594280Z", + "iopub.status.busy": "2023-05-06T12:57:06.593411Z", + "iopub.status.idle": "2023-05-06T12:57:07.225472Z", + "shell.execute_reply": "2023-05-06T12:57:07.224722Z", + "shell.execute_reply.started": "2023-05-06T12:57:06.594240Z" }, "tags": [] }, @@ -390,7 +391,7 @@ " dict1 = json.load(fl)\n", "# 筛选重名剔除名单\n", "chongming = []\n", - "filename = 'data/燕山石化重名人员测试情况.xlsx'\n", + "filename = 'data/燕山石化重名人员测试情况(20230506).xlsx'\n", "wb = openpyxl.load_workbook(filename)\n", "sheet = wb.active\n", "for n in range(1, sheet.max_row+1,2):\n", @@ -419,7 +420,7 @@ " list2.append(dict2[k]['车间'])\n", " list2.append(dict2[k]['班组'])\n", " list1.append(list2)\n", - "filename = 'data/燕山石化未体测人员名单(截至20230427).xlsx'\n", + "filename = 'data/燕山石化未体测人员名单(截至20230506).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", @@ -439,15 +440,15 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 188, "id": "641863ef-324f-4c33-a0a9-699031afb6f1", "metadata": { "execution": { - "iopub.execute_input": "2023-04-26T11:17:42.517140Z", - "iopub.status.busy": "2023-04-26T11:17:42.516342Z", - "iopub.status.idle": "2023-04-26T11:17:42.630705Z", - "shell.execute_reply": "2023-04-26T11:17:42.629971Z", - "shell.execute_reply.started": "2023-04-26T11:17:42.517107Z" + "iopub.execute_input": "2023-05-06T04:49:09.959460Z", + "iopub.status.busy": "2023-05-06T04:49:09.958827Z", + "iopub.status.idle": "2023-05-06T04:49:10.100983Z", + "shell.execute_reply": "2023-05-06T04:49:10.100011Z", + "shell.execute_reply.started": "2023-05-06T04:49:09.959429Z" }, "tags": [] }, @@ -456,23 +457,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "7756 张志兴 ['身高', '体重', '肺活量', '握力']\n", - "3999 解勇 ['身高', '体重', '肺活量', '握力']\n", - "7037 郭维东 ['身高', '体重', '握力', '选择反应时']\n", - "57 郑文芬 ['身高', '体重', '坐位体前屈', '握力']\n", - "4031 庞荔元 ['身高', '体重', '肺活量', '选择反应时']\n", - "4025 马珺 ['身高', '体重', '选择反应时']\n", - "7790 吴志鹏 ['身高', '体重', '握力']\n", - "4851 李晓甦 ['身高', '体重', '单脚站立', '握力']\n", - "8133 张来强 ['身高', '体重', '肺活量', '选择反应时']\n", - "5628 康文刚 ['身高', '体重', '肺活量', '握力']\n", - "8151 赵春先 ['身高', '体重', '握力']\n", - "3699 毛树新 ['身高', '体重', '纵跳', '选择反应时']\n", - "1699 孙雪飞 ['身高', '体重', '肺活量', '选择反应时']\n", - "1960 徐慧国 ['身高', '体重', '肺活量', '单脚站立']\n", - "3563 孙志强 ['身高', '体重', '握力', '纵跳']\n", - "7682 孙宏林 ['肺活量', '身高', '体重']\n", - "4370 张宝 ['身高', '体重', '肺活量', '选择反应时']\n" + "[['4025', '马珺', '教育培训中心工会', '身高,体重,选择反应时'], ['7790', '吴志鹏', '生产运行保障中心', '身高,体重,握力'], ['2349', '王军海', '合成橡胶厂工会', '身高,体重'], ['8151', '赵春先', '合成树脂厂', '身高,体重,握力'], ['7682', '孙宏林', '有机化工厂工会', '肺活量,身高,体重'], ['2004', '刘鹏', '合成树脂厂', '身高,体重,握力'], ['642', '刘小宾', '储运厂工会', '身高,体重,肺活量'], ['3125', '李志斌', '化学品厂工会', '身高,体重,握力']]\n" ] } ], @@ -496,10 +481,25 @@ " if item in items:\n", " list1.append(item)\n", " dict3[k] = list1\n", + "list1 = []\n", "for k, v in dict3.items():\n", - " if len(v)<=4 and '身高' in v and '体重' in v:\n", - " print(k,dict2[k]['name'],v)\n", - " " + " if len(v)<4 and '身高' in v and '体重' in v:\n", + " list2 = []\n", + " xm = ','.join(v)\n", + " list2.append(k)\n", + " list2.append(dict2[k]['name'])\n", + " list2.append(dict2[k]['工作单位'])\n", + " list2.append(xm)\n", + " list1.append(list2)\n", + "print(list1)\n", + "filename = 'data/燕山石化测试项目不足人员（截止5月5日）.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "#sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename) \n" ] }, { @@ -649,15 +649,15 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 194, "id": "5df8eb8f-3594-40be-a491-b4d750bbd554", "metadata": { "execution": { - "iopub.execute_input": "2023-04-27T08:23:39.947764Z", - "iopub.status.busy": "2023-04-27T08:23:39.947326Z", - "iopub.status.idle": "2023-04-27T08:23:40.072095Z", - "shell.execute_reply": "2023-04-27T08:23:40.071367Z", - "shell.execute_reply.started": "2023-04-27T08:23:39.947734Z" + "iopub.execute_input": "2023-05-06T12:56:19.780009Z", + "iopub.status.busy": "2023-05-06T12:56:19.779277Z", + "iopub.status.idle": "2023-05-06T12:56:19.924293Z", + "shell.execute_reply": "2023-05-06T12:56:19.923570Z", + "shell.execute_reply.started": "2023-05-06T12:56:19.779982Z" }, "tags": [] }, @@ -673,7 +673,7 @@ "filename = 'data/燕山石化人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", - "filename = 'data/result_燕山石化-all.json'\n", + "filename = 'data/result_燕山石化.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "\n", @@ -696,7 +696,7 @@ " else:\n", " ce = '否'\n", " list3.append([code,name,unit,ce])\n", - "filename = 'data/燕山石化重名人员测试情况.xlsx'\n", + "filename = 'data/燕山石化重名人员测试情况(20230506).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "#sheet.append(title)\n", @@ -706,10 +706,81 @@ "wb.save(filename) " ] }, + { + "cell_type": "markdown", + "id": "0513a787-f2e2-4ee6-9c67-c94c50e62393", + "metadata": {}, + "source": [ + "## 统计部门测试情况" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "id": "48a0b2b8-c069-4d2d-9813-d65474749000", + "metadata": { + "execution": { + "iopub.execute_input": "2023-05-06T12:38:29.815090Z", + "iopub.status.busy": "2023-05-06T12:38:29.814674Z", + "iopub.status.idle": "2023-05-06T12:38:29.943125Z", + "shell.execute_reply": "2023-05-06T12:38:29.942309Z", + "shell.execute_reply.started": "2023-05-06T12:38:29.815063Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[['机关工会', 446, 365], ['储运厂工会', 997, 780], ['高科公司工会', 311, 292], ['合成树脂厂', 464, 317], ['合成橡胶厂工会', 770, 310], ['化学品厂工会', 378, 296], ['检验计量中心工会', 635, 297], ['教育培训中心工会', 73, 72], ['炼油厂工会', 1043, 640], ['热电厂工会', 710, 121], ['物装中心工会', 182, 182], ['烯烃厂工会', 433, 287], ['消防中心工会', 221, 214], ['行政事务中心（离退中心）工会', 675, 503], ['有机化工厂工会', 454, 435], ['生产运行保障中心', 398, 367]]\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "filename = 'data/燕山石化人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "filename = 'data/result_燕山石化.json'\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl)\n", + "dict2 = {}\n", + "for k, v in dict1.items():\n", + " unit = v['工作单位']\n", + " dict2.setdefault(unit,0)\n", + " dict2[unit] = dict2[unit] + 1\n", + "dict4 = {}\n", + "for k, v in dict3.items():\n", + " unit = v['部门']\n", + " dict4.setdefault(unit,0)\n", + " dict4[unit] = dict4[unit] + 1\n", + "list1 = []\n", + "for k, v in dict2.items():\n", + " list2 = []\n", + " list2.append(k)\n", + " list2.append(v)\n", + " if k in dict4.keys():\n", + " list2.append(dict4[k])\n", + " else:\n", + " list2.append(0)\n", + " list1.append(list2)\n", + "print(list1)\n", + "filename = 'data/燕山石化部门测试情况（截止5月6日）.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "#sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename) \n" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "bfd8e77d-85a5-44aa-b075-b37278910a3f", + "id": "c294db76-adc4-41bf-9ee6-811dde1905e8", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/石家庄石化.ipynb b/体测单位/石家庄石化.ipynb index 985116a..bf45093 100644 --- a/体测单位/石家庄石化.ipynb +++ b/体测单位/石家庄石化.ipynb @@ -149,15 +149,15 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 42, "id": "97d86ce2-6664-41a1-89d2-ddaa0611bac1", "metadata": { "execution": { - "iopub.execute_input": "2023-04-27T07:07:54.855417Z", - "iopub.status.busy": "2023-04-27T07:07:54.854561Z", - "iopub.status.idle": "2023-04-27T07:07:54.933949Z", - "shell.execute_reply": "2023-04-27T07:07:54.932922Z", - "shell.execute_reply.started": "2023-04-27T07:07:54.855376Z" + "iopub.execute_input": "2023-05-05T13:31:23.049611Z", + "iopub.status.busy": "2023-05-05T13:31:23.048757Z", + "iopub.status.idle": "2023-05-05T13:31:23.590103Z", + "shell.execute_reply": "2023-05-05T13:31:23.589419Z", + "shell.execute_reply.started": "2023-05-05T13:31:23.049566Z" }, "tags": [] }, @@ -168,7 +168,7 @@ "\n", "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", "title = ['编号','姓名','性别','单位','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", - "filename = 'data/result_石家庄（20230427）.json'\n", + "filename = 'data/result_石家庄.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", @@ -192,7 +192,7 @@ " else:\n", " list2.append('') \n", " list1.append(list2)\n", - "filename = 'data/石家庄石化体测情况表(20230427).xlsx'\n", + "filename = 'data/石家庄石化体测情况表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", @@ -212,15 +212,15 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 41, "id": "e2b68cb1-3a6f-4b51-afbd-d6c9634348b1", "metadata": { "execution": { - "iopub.execute_input": "2023-04-27T07:10:23.308568Z", - "iopub.status.busy": "2023-04-27T07:10:23.307717Z", - "iopub.status.idle": "2023-04-27T07:10:23.593399Z", - "shell.execute_reply": "2023-04-27T07:10:23.592690Z", - "shell.execute_reply.started": "2023-04-27T07:10:23.308525Z" + "iopub.execute_input": "2023-05-05T13:30:29.397704Z", + "iopub.status.busy": "2023-05-05T13:30:29.396865Z", + "iopub.status.idle": "2023-05-05T13:30:29.654357Z", + "shell.execute_reply": "2023-05-05T13:30:29.653607Z", + "shell.execute_reply.started": "2023-05-05T13:30:29.397657Z" }, "tags": [] }, @@ -253,7 +253,7 @@ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", - "filename = 'data/places_result_20230427-sjz-all.csv'\n", + "filename = 'data/places_result_20230505-sjz.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", diff --git a/体测单位/长炼医院.ipynb b/体测单位/长炼医院.ipynb index 0d04007..8eca6a9 100644 --- a/体测单位/长炼医院.ipynb +++ b/体测单位/长炼医院.ipynb @@ -72,15 +72,15 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "id": "4b52477e-926a-44b5-b8a0-20bff98d101d", "metadata": { "execution": { - "iopub.execute_input": "2023-04-28T02:29:30.505134Z", - "iopub.status.busy": "2023-04-28T02:29:30.504270Z", - "iopub.status.idle": "2023-04-28T02:29:30.603183Z", - "shell.execute_reply": "2023-04-28T02:29:30.602480Z", - "shell.execute_reply.started": "2023-04-28T02:29:30.505092Z" + "iopub.execute_input": "2023-05-05T13:53:58.994696Z", + "iopub.status.busy": "2023-05-05T13:53:58.993862Z", + "iopub.status.idle": "2023-05-05T13:53:59.019923Z", + "shell.execute_reply": "2023-05-05T13:53:59.019005Z", + "shell.execute_reply.started": "2023-05-05T13:53:58.994649Z" }, "tags": [] }, @@ -89,8 +89,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "33\n", - "33\n" + "44\n", + "44\n" ] } ], @@ -112,8 +112,8 @@ "filename = 'data/长炼医院人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", - "rq = '20230428'\n", - "filename = f'data/places_result_{rq}.csv'\n", + "rq = '20230505'\n", + "filename = f'data/places_result_{rq}-clyy.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -165,7 +165,7 @@ "filename = 'data/燕山石化人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", - "rq = '20230425'\n", + "rq = '20230505'\n", "filename = f'data/places_result_{rq}.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", @@ -219,15 +219,15 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "id": "2ffa583b-be51-40a8-bb55-de6a89d1a54a", "metadata": { "execution": { - "iopub.execute_input": "2023-04-28T02:29:52.437982Z", - "iopub.status.busy": "2023-04-28T02:29:52.437174Z", - "iopub.status.idle": "2023-04-28T02:29:52.467779Z", - "shell.execute_reply": "2023-04-28T02:29:52.466907Z", - "shell.execute_reply.started": "2023-04-28T02:29:52.437947Z" + "iopub.execute_input": "2023-05-05T13:54:34.525972Z", + "iopub.status.busy": "2023-05-05T13:54:34.525125Z", + "iopub.status.idle": "2023-05-05T13:54:34.570287Z", + "shell.execute_reply": "2023-05-05T13:54:34.569407Z", + "shell.execute_reply.started": "2023-05-05T13:54:34.525930Z" }, "tags": [] }, @@ -236,7 +236,7 @@ "import json\n", "import openpyxl\n", "\n", - "rq = '20230428'\n", + "rq = '20230505'\n", "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", "title = ['编号','姓名','性别','单位','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", "filename = f'data/result_长炼医院（{rq}).json'\n", diff --git a/体质检测管理.ipynb b/体质检测管理.ipynb index fe779ac..c3d3a04 100644 --- a/体质检测管理.ipynb +++ b/体质检测管理.ipynb @@ -3090,7 +3090,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.10.6" }, "toc-showtags": false }, diff --git a/文件操作.ipynb b/文件操作.ipynb index a443e7e..b4f0bc7 100644 --- a/文件操作.ipynb +++ b/文件操作.ipynb @@ -364,14 +364,14 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-04-27T09:20:28.067998Z", - "iopub.status.busy": "2023-04-27T09:20:28.067295Z", - "iopub.status.idle": "2023-04-27T09:20:28.183642Z", - "shell.execute_reply": "2023-04-27T09:20:28.182659Z", - "shell.execute_reply.started": "2023-04-27T09:20:28.067958Z" + "iopub.execute_input": "2023-05-05T22:31:49.960396Z", + "iopub.status.busy": "2023-05-05T22:31:49.959563Z", + "iopub.status.idle": "2023-05-05T22:31:50.078269Z", + "shell.execute_reply": "2023-05-05T22:31:50.077529Z", + "shell.execute_reply.started": "2023-05-05T22:31:49.960354Z" }, "tags": [] },