20240703
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+235
-9
@@ -1,5 +1,15 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "d48fc174-4d21-4686-a47f-54596f7d836b",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"# 西藏中石油"
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]
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},
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{
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"cell_type": "markdown",
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"id": "70c15816-2ad5-4486-be33-378963d70934",
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@@ -53,7 +63,9 @@
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{
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"cell_type": "markdown",
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"id": "be805082-d5d7-405b-975c-fb902085a041",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 文件更名"
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]
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@@ -103,7 +115,9 @@
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{
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"cell_type": "markdown",
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"id": "962f6edd-c8d1-42a2-aaff-58f92ccf8d56",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 问卷人员信息导入"
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]
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@@ -165,7 +179,9 @@
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{
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"cell_type": "markdown",
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"id": "25ffcc7a-5709-4377-b821-bce5097cbd78",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 导入脊柱问卷信息"
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]
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@@ -206,7 +222,9 @@
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{
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"cell_type": "markdown",
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"id": "56538b71-aedc-4880-b655-a814778bda07",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 导入体测信息"
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]
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@@ -247,7 +265,9 @@
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{
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"cell_type": "markdown",
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"id": "0a66d37f-6436-4e3c-abe1-d5fd4796e683",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 导出手工信息"
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]
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@@ -337,7 +357,9 @@
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{
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"cell_type": "markdown",
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"id": "3d7ab69c-941d-4f73-8708-2aab850ae2e1",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 导入体测信息"
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]
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@@ -399,7 +421,9 @@
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{
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"cell_type": "markdown",
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"id": "52597677-83a0-447e-95b2-7e8c4296bec7",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 报告更名"
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]
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@@ -1051,10 +1075,212 @@
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"#print(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": "fa57d171-2f81-4e8c-987a-3b49ffefa731",
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"metadata": {},
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"source": [
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"# 西藏双湖"
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]
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},
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{
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"cell_type": "markdown",
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"id": "bda42b7d-8a5e-4657-9cfa-02689243597b",
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"metadata": {},
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"source": [
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"## 导入人员信息及成绩"
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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": 22,
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"id": "4393b52c-67f0-447a-a87b-ecc1abd067aa",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-01T04:05:02.362469Z",
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"iopub.status.busy": "2024-07-01T04:05:02.361695Z",
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"iopub.status.idle": "2024-07-01T04:05:02.536973Z",
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"shell.execute_reply": "2024-07-01T04:05:02.536502Z",
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"shell.execute_reply.started": "2024-07-01T04:05:02.362398Z"
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}
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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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"import datetime\n",
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"\n",
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"wb = openpyxl.load_workbook('data/双湖县20240524.xlsx')\n",
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"sheet = wb['20240525下午']\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"for n in range(1, sheet.max_row+1):\n",
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" if sheet.cell(n,2).value is None:\n",
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" break\n",
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" else: \n",
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" code = int(sheet.cell(n, 1).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, 2).value \n",
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" sex = sheet.cell(n, 3).value\n",
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" dict1['sex'] = sex\n",
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" s= str(sheet.cell(n, 4).value)\n",
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" rq = s[:4]+'-'+s[4:6]+'-'+s[6:8]\n",
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" dict1['birth'] = rq\n",
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" person[code] = dict1\n",
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"filename = 'data/双湖0525下午.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": 32,
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"id": "49e478a0-00c7-47e4-957d-f0826352897b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-01T05:04:19.050199Z",
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"iopub.status.busy": "2024-07-01T05:04:19.049570Z",
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"iopub.status.idle": "2024-07-01T05:04:19.064764Z",
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"shell.execute_reply": "2024-07-01T05:04:19.063834Z",
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"shell.execute_reply.started": "2024-07-01T05:04:19.050121Z"
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}
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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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"83\n",
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"83\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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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/双湖0525下午.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/places_result_20240525_下午.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[2])\n",
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" if user in dict1.keys() and result[7] == '0': \n",
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" m_item = str(result[3]) \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]['birth'] = dict1[user]['birth']\n",
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" re_ta[user]['rq'] = '2024-05-25'\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[4])/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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"print(len(re_ta))\n",
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"filename = 'data/result_双湖052502.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \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": "8538d80e-1448-4c13-96ea-8335f9e817eb",
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"metadata": {},
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"source": [
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"## 手工数据录入"
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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": 43,
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"id": "d313e492-91d0-46c9-bbca-a5d97169e88b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-01T12:43:03.605454Z",
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"iopub.status.busy": "2024-07-01T12:43:03.604690Z",
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"iopub.status.idle": "2024-07-01T12:43:03.654585Z",
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"shell.execute_reply": "2024-07-01T12:43:03.654044Z",
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"shell.execute_reply.started": "2024-07-01T12:43:03.605382Z"
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}
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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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"142\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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"\n",
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"filename = 'data/result_双湖052403.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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"wb = openpyxl.load_workbook('data/双湖手工数据.xlsx')\n",
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"sheet = wb['2024052403']\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"for n in range(1, sheet.max_row+1):\n",
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" if sheet.cell(n,2).value is None:\n",
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" break\n",
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" else: \n",
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" code = str(sheet.cell(n, 2).value)\n",
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" if code in dict1.keys():\n",
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" xm = sheet.cell(n, 1).value\n",
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" dict1[code].setdefault(xm,{})\n",
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" if xm =='体重':\n",
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" result = str(sheet.cell(n, 3).value) + ' 千克'\n",
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" else:\n",
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" result = str(sheet.cell(n, 3).value) + ' 厘米'\n",
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" dict1[code][xm]['成绩'] = result\n",
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"filename = 'data/result_双湖052403.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl, ensure_ascii=False) \n",
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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": "code",
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"execution_count": null,
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"id": "2787bc9f-6492-4b51-9b37-87ac098d93b9",
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"id": "e745c870-6a5a-4040-a2cf-79e4b8839068",
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"metadata": {},
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"outputs": [],
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"source": []
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@@ -1076,7 +1302,7 @@
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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": "3.10.12"
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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