20211108
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@@ -3,7 +3,12 @@
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{
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"cell_type": "markdown",
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"id": "4925cb3a-bea3-4a4d-9590-6b91b62ca5b4",
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"metadata": {},
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"metadata": {
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"jupyter": {
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"source_hidden": true
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},
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"tags": []
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},
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"source": [
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"# 体质检测管理"
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]
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@@ -419,15 +424,15 @@
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"import pdfplumber\n",
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"\n",
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"# 读取 PDF 文档\n",
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"pdf = pdfplumber.open(\"5.pdf\")\n",
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"pdf = pdfplumber.open(\"file/211027/114.pdf\")\n",
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"\n",
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"# 获取页数\n",
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"print(\"总页数：\",len(pdf.pages))\n",
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"print(\"-----------------------------------------\")\n",
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"\n",
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"# 读取第 4 页；索引从 1 开始\n",
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"page = pdf.pages[1] \n",
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"print(\"本页：\",page.page_number + 1)\n",
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"n = len(pdf.pages)\n",
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"# 读取第 4 页；索引从 0开始\n",
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"page = pdf.pages[n-2] \n",
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"print(\"本页：\",page.page_number)\n",
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"print(\"-----------------------------------------\")\n",
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"text = page.extract_text()\n",
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"#for s in text:\n",
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@@ -577,8 +582,8 @@
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" PDFSyntaxError\n",
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")\n",
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"#images = convert_from_path('1.pdf',dpi=200,fmt='jpg', output_folder='./sample_data')\n",
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"fl_path = 'file/210924'\n",
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"new_path ='file/new'\n",
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"fl_path = 'file/split'\n",
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"new_path ='file/new_split'\n",
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"old = glob.glob(f'{fl_path}/*.pdf')\n",
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"old.sort()\n",
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"for old_file in old:\n",
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@@ -750,27 +755,12 @@
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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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"execution_count": null,
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"id": "9e33d1bc-1b71-47f7-928a-16ec435449d6",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-01T01:09:32.605273Z",
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"iopub.status.busy": "2021-11-01T01:09:32.604346Z",
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"iopub.status.idle": "2021-11-01T01:09:32.942228Z",
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"shell.execute_reply": "2021-11-01T01:09:32.940432Z",
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"shell.execute_reply.started": "2021-11-01T01:09:32.605167Z"
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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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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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@@ -813,27 +803,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": null,
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"id": "2475a1c3-c2e7-45d6-9685-32e28e606df5",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-01T02:03:59.201350Z",
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"iopub.status.busy": "2021-11-01T02:03:59.200377Z",
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"iopub.status.idle": "2021-11-01T02:04:00.932234Z",
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"shell.execute_reply": "2021-11-01T02:04:00.930325Z",
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"shell.execute_reply.started": "2021-11-01T02:03:59.201245Z"
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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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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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@@ -868,29 +843,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": null,
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"id": "61887c54-66be-4158-9721-7a995daf1745",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-01T02:03:47.177819Z",
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"iopub.status.busy": "2021-11-01T02:03:47.176858Z",
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"iopub.status.idle": "2021-11-01T02:03:48.719338Z",
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"shell.execute_reply": "2021-11-01T02:03:48.717050Z",
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"shell.execute_reply.started": "2021-11-01T02:03:47.177713Z"
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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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"355-479已存在！\n",
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"401-379已存在！\n",
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"493-765已存在！\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"\n",
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@@ -919,27 +877,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": null,
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"id": "499a41ef-1b1f-4973-b733-8c322ac1ce09",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-01T02:03:52.339731Z",
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"iopub.status.busy": "2021-11-01T02:03:52.339110Z",
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"iopub.status.idle": "2021-11-01T02:03:52.366118Z",
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"shell.execute_reply": "2021-11-01T02:03:52.364000Z",
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"shell.execute_reply.started": "2021-11-01T02:03:52.339665Z"
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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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"538\n"
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]
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}
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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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"filename = '北海炼化公司职工心理健康量表统计.json'\n",
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@@ -950,10 +893,128 @@
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"print(len(dict1))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2d5d65e6-0b14-46a8-8636-ba4755dabafe",
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"metadata": {},
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"source": [
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"## 拆分调查报告PDF页面"
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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": 1,
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"id": "d1b557c1-e34c-4b15-8a5b-fcd5e4b62a64",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-08T12:32:32.248333Z",
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"iopub.status.busy": "2021-11-08T12:32:32.246928Z",
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"iopub.status.idle": "2021-11-08T12:33:45.304866Z",
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"shell.execute_reply": "2021-11-08T12:33:45.302666Z",
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"shell.execute_reply.started": "2021-11-08T12:32:32.248068Z"
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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 pdfplumber\n",
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"import glob\n",
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"import os,sys\n",
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"import json\n",
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"from PyPDF2 import PdfFileWriter, PdfFileReader, PdfFileMerger\n",
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"\n",
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"\n",
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"filename = '北海炼化公司职工心理健康量表统计.json'\n",
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"list1 = []\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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"for k, v in dict1.items():\n",
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" if None in v.values():\n",
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" list1.append(k)\n",
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"'''\n",
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"\n",
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"list1 = dict1.keys()\n",
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"\n",
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"fl_path = 'file/211027'\n",
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"new_path ='file/split/'\n",
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"old = glob.glob(f'{fl_path}/*.pdf')\n",
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"old.sort()\n",
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"\n",
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"for old_file in old:\n",
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" name = os.path.basename(old_file).split('.')[0]\n",
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" if name in list1:\n",
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" pdfWriter = PdfFileWriter()\n",
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" pdf_reader = PdfFileReader(old_file)\n",
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" n = pdf_reader.numPages\n",
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" pdfWriter.addPage(pdf_reader.getPage(n-2))\n",
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" split_file = f'{new_path}{name}.pdf'\n",
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" with open(split_file, 'wb') as pdfOutputFile:\n",
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" pdfWriter.write(pdfOutputFile)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7b6d3d04-2844-4bf4-986c-503d62a39e84",
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"metadata": {},
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"source": [
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"## 拆分PD指定F页"
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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": "664c3aca-74e3-4a07-a141-a1dde3ef96e2",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-08T12:51:27.262359Z",
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"iopub.status.busy": "2021-11-08T12:51:27.261120Z",
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"iopub.status.idle": "2021-11-08T12:52:40.868282Z",
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"shell.execute_reply": "2021-11-08T12:52:40.866331Z",
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"shell.execute_reply.started": "2021-11-08T12:51:27.262250Z"
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}
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},
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"outputs": [],
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"source": [
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"import pdfplumber\n",
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"import glob\n",
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"import os,sys\n",
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"import json\n",
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"from PyPDF2 import PdfFileWriter, PdfFileReader, PdfFileMerger\n",
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"\n",
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"\n",
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"filename = '北海炼化公司职工心理健康量表统计.json'\n",
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"list1 = []\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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"for k, v in dict1.items():\n",
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" if None in v.values():\n",
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" list1.append(k)\n",
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"'''\n",
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"\n",
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"list1 = dict1.keys()\n",
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"\n",
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"fl_path = 'file/211027'\n",
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"new_path ='file/split/'\n",
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"old = glob.glob(f'{fl_path}/*.pdf')\n",
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"old.sort()\n",
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"\n",
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"for old_file in old:\n",
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" name = os.path.basename(old_file).split('.')[0]\n",
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" pdfWriter = PdfFileWriter()\n",
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" pdf_reader = PdfFileReader(old_file)\n",
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" n = pdf_reader.numPages\n",
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" pdfWriter.addPage(pdf_reader.getPage(n-1))\n",
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" split_file = f'{new_path}{name}.pdf'\n",
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" with open(split_file, 'wb') as pdfOutputFile:\n",
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" pdfWriter.write(pdfOutputFile)"
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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": "8ddd87ea-75f9-4296-8334-c28e6359fedd",
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"id": "4756d26b-5f4e-4a5c-abcd-a7c179ce5f1e",
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"metadata": {},
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"outputs": [],
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"source": []
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