91 lines
2.2 KiB
Plaintext
91 lines
2.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "ae533fe9-e20e-4e44-b9bb-030c4fa4e714",
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"metadata": {},
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"source": [
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"## 体测人员导入"
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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": "1144aaac-92a0-4bcf-aba7-096f7dd3ad3b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-10-15T14:33:57.992886Z",
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"iopub.status.busy": "2022-10-15T14:33:57.992353Z",
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"iopub.status.idle": "2022-10-15T14:33:59.266279Z",
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"shell.execute_reply": "2022-10-15T14:33:59.265333Z",
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"shell.execute_reply.started": "2022-10-15T14:33:57.992838Z"
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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/天津石化员工检测花名册 （20221014）.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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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 6).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, 3).value\n",
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" dict1['sex'] = sheet.cell(n, 4).value\n",
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" dict1['unit'] = sheet.cell(n, 1).value\n",
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" dict1['sub_unit'] = sheet.cell(n, 2).value\n",
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" dict1['id_num'] = sheet.cell(n,5).value\n",
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" person[code] = dict1\n",
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"filename = 'data/天津石化人员名单.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": "code",
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"execution_count": null,
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"id": "bf980970-b95f-47f3-a93d-55a659f52471",
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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",
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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": "3.8.10"
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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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