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512song@sina.com committed 2022-12-02 10:00:46 +08:00
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体测单位/天津石化.ipynb
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@@ -172,12 +172,27 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 19,
"id": "27529013-f3de-4e23-980d-f62203e4df88", "id": "27529013-f3de-4e23-980d-f62203e4df88",
"metadata": { "metadata": {
"execution": {
"iopub.execute_input": "2022-11-30T10:12:53.515296Z",
"iopub.status.busy": "2022-11-30T10:12:53.514432Z",
"iopub.status.idle": "2022-11-30T10:12:55.337907Z",
"shell.execute_reply": "2022-11-30T10:12:55.337125Z",
"shell.execute_reply.started": "2022-11-30T10:12:53.515185Z"
},
"tags": [] "tags": []
}, },
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [ "source": [
"import json\n", "import json\n",
"import openpyxl\n", "import openpyxl\n",
@@ -640,10 +655,699 @@
"print(len(dict2),len(dict1),)" "print(len(dict2),len(dict1),)"
] ]
}, },
{
"cell_type": "markdown",
"id": "47015abe-4cb8-436b-afa5-9ffd78d4a628",
"metadata": {},
"source": [
"## 心理测试情况统计"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "c21efc40-2639-4b22-851f-925cd3f12d3a",
"metadata": {
"execution": {
"iopub.execute_input": "2022-12-02T01:57:12.001357Z",
"iopub.status.busy": "2022-12-02T01:57:12.001077Z",
"iopub.status.idle": "2022-12-02T01:57:12.883178Z",
"shell.execute_reply": "2022-12-02T01:57:12.882427Z",
"shell.execute_reply.started": "2022-12-02T01:57:12.001330Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok!\n"
]
}
],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"title = ['编号','姓名','性别','单位/部门','车间/科室']\n",
"filename = 'data/天津石化人员名单.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"filename = 'data/134_xinli.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[4])\n",
"list3 = []\n",
"for k, v in dict1.items():\n",
" list2 = []\n",
" if k not in list1: \n",
" list2 = [k,dict1[k]['name'],dict1[k]['sex'],dict1[k]['unit'],dict1[k]['sub_unit'],] \n",
" list3.append(list2)\n",
"filename = 'data/天津石化未参加心理测试人数统计表.xlsx'\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"sheet.append(title)\n",
"for row in list3:\n",
" sheet.append(row)\n",
" \n",
"wb.save(filename)\n",
"print('ok!')"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "6b8ae75d-71a3-4cbe-a216-03c28d78156c",
"metadata": {
"execution": {
"iopub.execute_input": "2022-12-02T01:52:28.990631Z",
"iopub.status.busy": "2022-12-02T01:52:28.990331Z",
"iopub.status.idle": "2022-12-02T01:52:29.019041Z",
"shell.execute_reply": "2022-12-02T01:52:29.018243Z",
"shell.execute_reply.started": "2022-12-02T01:52:28.990609Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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]
}
],
"source": [
"import json\n",
"import openpyxl\n",
"\n",
"title = ['编号','姓名','性别','单位/部门','车间/科室']\n",
"filename = 'data/天津石化人员名单.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"filename = 'data/134_xinli.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",
" print(line[4])"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
"id": "e7d4e4b4-a44c-44c2-9c21-7f1d4f8ac6bd", "id": "5d53a23c-3fbd-4b57-926b-bc7f61a12be2",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [] "source": []