20250528
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512song committed
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4 files changed
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+1
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@@ -808,7 +808,7 @@
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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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+27
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@@ -10,15 +10,15 @@
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@@ -74,15 +74,15 @@
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"outputs": [
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@@ -90,7 +90,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"8\n"
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"11\n"
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]
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}
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],
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@@ -104,7 +104,7 @@
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"filename = 'data/喀什人员.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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"filename = 'data/marks_20250418-17.csv'\n",
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"filename = 'data/marks_20250422.csv'\n",
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"re_ta = My.get_result(filename,dict1)\n",
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"\n",
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"filename = 'data/result_喀什人员.json'\n",
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@@ -123,15 +123,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 20,
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"id": "fa481310-fb25-4523-9558-eef6717452ba",
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"metadata": {
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"outputs": [
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@@ -189,15 +189,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "480fe004-aea6-4477-9fdd-a80818d731ac",
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"outputs": [
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@@ -205,7 +205,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"8\n"
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"11\n"
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]
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}
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],
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+27
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@@ -10,15 +10,15 @@
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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": 18,
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"id": "2f3742c3-0247-4304-a580-530102cad1dc",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-04-20T04:22:01.142045Z",
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"outputs": [
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@@ -76,15 +76,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"execution_count": 19,
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"id": "8b649b7e-2608-4954-91ce-66f15b7e7806",
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"metadata": {
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}
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"outputs": [
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@@ -92,7 +92,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"15\n"
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"4\n"
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]
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}
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],
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@@ -106,7 +106,7 @@
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"filename = 'data/国图人员.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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"filename = 'data/marks_20250420.csv'\n",
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"filename = 'data/marks_20250424.csv'\n",
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"re_ta = My.get_result(filename,dict1)\n",
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"\n",
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"filename = 'data/result_国图人员.json'\n",
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@@ -125,15 +125,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 20,
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"id": "fa481310-fb25-4523-9558-eef6717452ba",
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"metadata": {
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"outputs": [
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@@ -191,15 +191,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 21,
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"outputs": [
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@@ -207,7 +207,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"15\n"
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"4\n"
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]
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}
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],
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+315
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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": "04524c85-988e-4dbf-86eb-939a9db7aa28",
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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": 1,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-05-28T06:35:11.550938Z",
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"iopub.status.busy": "2025-05-28T06:35:11.550116Z",
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"iopub.status.idle": "2025-05-28T06:35:11.969766Z",
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"shell.execute_reply": "2025-05-28T06:35:11.969225Z",
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"shell.execute_reply.started": "2025-05-28T06:35:11.550860Z"
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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/宁夏能化人员.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 = int(sheet.cell(n, 2).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, 6).value\n",
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" dict1['birth'] = sheet.cell(n,5).value\n",
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" person[code] = dict1\n",
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"filename = 'data/宁夏能化人员.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": "markdown",
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"id": "048a95aa-1691-45f6-b933-6eaf95ae1d30",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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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": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2025-05-28T06:36:24.201183Z",
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"iopub.status.busy": "2025-05-28T06:36:24.200236Z",
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"shell.execute_reply": "2025-05-28T06:36:24.221561Z",
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||||
"shell.execute_reply.started": "2025-05-28T06:36:24.201103Z"
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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 json\n",
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"\n",
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"filename = 'data/宁夏能化人员.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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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" #if dict1['sex'] =='男':\n",
|
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" # sex = 1\n",
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" \n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
|
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"# 将 json 数据写入文件\n",
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"with open(\"data/data_宁夏能化人员.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
|
||||
"print('ok')"
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]
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},
|
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{
|
||||
"cell_type": "markdown",
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||||
"id": "6bcd45c2-10af-4d5f-9e0b-5cd1df4f7a7f",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 获取人员测试成绩"
|
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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": 9,
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"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"execution": {
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||||
"iopub.execute_input": "2023-11-26T12:31:39.094899Z",
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"iopub.status.busy": "2023-11-26T12:31:39.094370Z",
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"shell.execute_reply": "2023-11-26T12:31:39.114071Z",
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"shell.execute_reply.started": "2023-11-26T12:31:39.094860Z"
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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": [
|
||||
"16\n",
|
||||
"16\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"import time\n",
|
||||
"import csv\n",
|
||||
"\n",
|
||||
"filename = '../item.json'\n",
|
||||
"item = {}\n",
|
||||
"unit = {}\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl) \n",
|
||||
"for k,v in dict1.items():\n",
|
||||
" item[k] = v\n",
|
||||
"re_ta = {}\n",
|
||||
"dict1 = {}\n",
|
||||
"list1 = []\n",
|
||||
"filename = 'data/北京党校.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl) \n",
|
||||
"\n",
|
||||
"filename = 'data/places_result_20231126.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[2])\n",
|
||||
" if user in dict1.keys(): \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[4])/item[m_item]['divisor'] \n",
|
||||
" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
|
||||
"print(len(re_ta))\n",
|
||||
"filename = 'data/result_北京党校20231126.json'\n",
|
||||
"\n",
|
||||
"with open(filename,'w') as fl:\n",
|
||||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||||
"print(len(re_ta))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "d034a61d-1fbd-417b-99bd-277e43ebb678",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 导出测试人员信息"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "867ad6b0-9e9d-48bc-a10a-3b9cb6125890",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import json\n",
|
||||
"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",
|
||||
"\n",
|
||||
"filename = 'data/result_北京党校.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict1 = json.load(fl)\n",
|
||||
"\n",
|
||||
"filename = 'data/北京党校.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict2 = json.load(fl)\n",
|
||||
" \n",
|
||||
"list1 = []\n",
|
||||
"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]['sex'])\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",
|
||||
" elif item =='name':\n",
|
||||
" list2.append(v[item])\n",
|
||||
" else:\n",
|
||||
" list2.append('') \n",
|
||||
" list1.append(list2)\n",
|
||||
"filename = 'data/北京党校.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)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "699c6a40-a6ae-4300-9646-708cb85aa5e8",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## 手工数据导入数据库"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import openpyxl\n",
|
||||
"import json\n",
|
||||
"\n",
|
||||
"filename = 'data/北京党校.json'\n",
|
||||
"with open(filename,'r') as fl:\n",
|
||||
" dict2 = json.load(fl)\n",
|
||||
"wb = openpyxl.load_workbook('data/北京党校手工数据.xlsx')\n",
|
||||
"sheet = wb.active\n",
|
||||
"# sheets = wb.sheetnames\n",
|
||||
"dict1 = {}\n",
|
||||
"dict3 = {1:10,2:11,3:7,4:2,5:6,6:3,7:1}\n",
|
||||
"sheet = wb.active\n",
|
||||
"data1 =list(sheet.values)\n",
|
||||
"del data1[0]\n",
|
||||
"list1 = []\n",
|
||||
"for item in data1:\n",
|
||||
" code = int(item[0])\n",
|
||||
" list1.append((496534,code,item[2],item[1],'2023-10-15','2023-10-15 14:00:00'))\n",
|
||||
"print(list1)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "67e63f07-3f20-4e0e-9c07-7bf6024eeb4b",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
Reference in new issue
Block a user