{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "c25df30f-58cb-4969-869a-127bcf5be598", "metadata": { "execution": { "iopub.execute_input": "2026-05-14T11:55:32.361511Z", "iopub.status.busy": "2026-05-14T11:55:32.361336Z", "iopub.status.idle": "2026-05-14T11:55:33.172943Z", "shell.execute_reply": "2026-05-14T11:55:33.172258Z", "shell.execute_reply.started": "2026-05-14T11:55:32.361494Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "csv模块读取结果：\n", "['Name', 'Age', 'City']\n", "['Alice', '25', 'New York']\n", "['Bob', '30', 'London']\n", "\n", "pandas读取结果：\n", " Name Age City\n", "0 Alice 25 New York\n", "1 Bob 30 London\n", "平均年龄: 27.5\n" ] } ], "source": [ "# 依赖库：csv（内置）、pandas（需安装）\n", "# pip install pandas\n", "\n", "import csv\n", "import pandas as pd\n", "\n", "# ------------------ 创建并保存CSV文件 ------------------\n", "# 使用 csv 模块创建\n", "with open('demo.csv', 'w', newline='', encoding='utf-8') as f:\n", " writer = csv.writer(f)\n", " writer.writerow([\"Name\", \"Age\", \"City\"]) # 标题行\n", " writer.writerow([\"Alice\", 25, \"New York\"]) # 数据行\n", " writer.writerow([\"Bob\", 30, \"London\"])\n", "\n", "# ------------------ 读取并操作CSV文件 ------------------\n", "# 使用 csv 模块读取\n", "with open('demo.csv', 'r', encoding='utf-8') as f:\n", " reader = csv.reader(f)\n", " print(\"csv模块读取结果：\")\n", " for row in reader:\n", " print(row)\n", "\n", "# 使用 pandas 读取\n", "df = pd.read_csv('demo.csv')\n", "print(\"\\npandas读取结果：\")\n", "print(df)\n", "print(\"平均年龄:\", df['Age'].mean()) # 计算平均年龄" ] }, { "cell_type": "code", "execution_count": 2, "id": "28ea5a3d-6e8b-4f55-8b7b-b9405d9565fd", "metadata": { "execution": { "iopub.execute_input": "2026-05-14T11:55:34.702728Z", "iopub.status.busy": "2026-05-14T11:55:34.702526Z", "iopub.status.idle": "2026-05-14T11:55:35.008568Z", "shell.execute_reply": "2026-05-14T11:55:35.007964Z", "shell.execute_reply.started": "2026-05-14T11:55:34.702710Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Excel数据：\n", " Name Age City\n", "0 Alice 25 New York\n", "1 Bob 30 London\n", "最大年龄: 30\n", "\n", "单元格A2的值: Alice\n" ] } ], "source": [ "# 依赖库：openpyxl、pandas\n", "# pip install openpyxl pandas\n", "\n", "import pandas as pd\n", "from openpyxl import Workbook\n", "\n", "# ------------------ 创建并保存Excel文件 ------------------\n", "# 使用 openpyxl 创建\n", "wb = Workbook()\n", "ws = wb.active\n", "ws.title = \"Users\"\n", "ws.append([\"Name\", \"Age\", \"City\"]) # 标题行\n", "ws.append([\"Alice\", 25, \"New York\"])\n", "ws.append([\"Bob\", 30, \"London\"])\n", "wb.save('demo.xlsx')\n", "\n", "# ------------------ 读取并操作Excel文件 ------------------\n", "# 使用 pandas 读取\n", "df = pd.read_excel('demo.xlsx', sheet_name='Users')\n", "print(\"Excel数据：\")\n", "print(df)\n", "print(\"最大年龄:\", df['Age'].max()) # 计算最大年龄\n", "\n", "# 使用 openpyxl 读取单元格\n", "from openpyxl import load_workbook\n", "wb = load_workbook('demo.xlsx')\n", "sheet = wb['Users']\n", "print(\"\\n单元格A2的值:\", sheet['A2'].value)" ] }, { "cell_type": "code", "execution_count": 3, "id": "02f6c979-56b7-4422-833d-4b3494902296", "metadata": { "execution": { "iopub.execute_input": "2026-05-14T11:55:38.700025Z", "iopub.status.busy": "2026-05-14T11:55:38.699758Z", "iopub.status.idle": "2026-05-14T11:55:42.814890Z", "shell.execute_reply": "2026-05-14T11:55:42.814332Z", "shell.execute_reply.started": "2026-05-14T11:55:38.700003Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Looking in indexes: https://mirrors.cloud.aliyuncs.com/pypi/simple\n", "Collecting PyPDF2\n", " Downloading https://mirrors.cloud.aliyuncs.com/pypi/packages/8e/5e/c86a5643653825d3c913719e788e41386bee415c2b87b4f955432f2de6b2/pypdf2-3.0.1-py3-none-any.whl (232 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m232.6/232.6 kB\u001b[0m \u001b[31m14.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hCollecting reportlab\n", " Downloading https://mirrors.cloud.aliyuncs.com/pypi/packages/a7/45/ea7fad10122440de6e845568d106bffdc456ca0e8a1d8ae10b46016087e4/reportlab-4.5.1-py3-none-any.whl (2.0 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m29.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n", "\u001b[?25hRequirement already satisfied: pillow>=9.0.0 in /usr/local/lib/python3.11/site-packages (from reportlab) (11.3.0)\n", "Requirement already satisfied: charset-normalizer in /usr/local/lib/python3.11/site-packages (from reportlab) (3.4.5)\n", "Installing collected packages: reportlab, PyPDF2\n", "Successfully installed PyPDF2-3.0.1 reportlab-4.5.1\n", "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n", "\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.3.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m26.1.1\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n" ] } ], "source": [ "!pip install PyPDF2 reportlab" ] }, { "cell_type": "code", "execution_count": 4, "id": "3fd191fd-e696-4473-be7f-f3d5f459d0db", "metadata": { "ExecutionIndicator": { "show": false }, "execution": { "iopub.execute_input": "2026-05-14T11:55:42.815669Z", "iopub.status.busy": "2026-05-14T11:55:42.815517Z", "iopub.status.idle": "2026-05-14T11:55:42.992098Z", "shell.execute_reply": "2026-05-14T11:55:42.991569Z", "shell.execute_reply.started": "2026-05-14T11:55:42.815651Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "PDF内容:\n", " PDF■■■■\n", "■■: Alice\n", "■■: 25\n", "\n" ] } ], "source": [ "# 依赖库：PyPDF2（创建PDF需要ReportLab）\n", "# pip install PyPDF2 reportlab\n", "\n", "from PyPDF2 import PdfWriter, PdfReader\n", "from reportlab.pdfgen import canvas\n", "import io\n", "\n", "# ------------------ 创建并保存PDF文件 ------------------\n", "# 使用 ReportLab 生成PDF内容\n", "packet = io.BytesIO()\n", "c = canvas.Canvas(packet)\n", "c.drawString(50, 800, \"PDF示例文档\") # 添加文本\n", "c.drawString(50, 780, \"姓名: Alice\")\n", "c.drawString(50, 760, \"年龄: 25\")\n", "c.save()\n", "\n", "# 保存为本地文件\n", "packet.seek(0)\n", "new_pdf = PdfReader(packet)\n", "writer = PdfWriter()\n", "writer.add_page(new_pdf.pages[0])\n", "with open(\"demo.pdf\", \"wb\") as f:\n", " writer.write(f)\n", "\n", "# ------------------ 读取并提取PDF文本 ------------------\n", "with open(\"demo.pdf\", \"rb\") as f:\n", " reader = PdfReader(f)\n", " page = reader.pages[0]\n", " text = page.extract_text()\n", " print(\"PDF内容:\\n\", text)" ] }, { "cell_type": "code", "execution_count": 5, "id": "f19a18ac-9d64-4136-8694-c035ac889e4e", "metadata": { "ExecutionIndicator": { "show": true }, "execution": { "iopub.execute_input": "2026-05-14T11:55:45.091105Z", "iopub.status.busy": "2026-05-14T11:55:45.090930Z", "iopub.status.idle": "2026-05-14T11:55:45.113172Z", "shell.execute_reply": "2026-05-14T11:55:45.112538Z", "shell.execute_reply.started": "2026-05-14T11:55:45.091088Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "PDF内容:\n", " 212.浆母细胞淋巴瘤。\n", "13.原发渗出性淋巴瘤。\n", "14.疱疹病毒8阳性弥漫大B细胞淋巴瘤，非特指型。\n", "15.伯基特淋巴瘤\n", "16.伴有11q异常的伯基特样淋巴瘤\n", "17.高级别B细胞淋巴瘤，伴有MYC和BCL2和/或BCL6重排。\n", "18.高级别B细胞淋巴瘤，非特指型。\n", "19.B细胞淋巴瘤不能分类型，介于DLBCL和经典霍奇金淋巴\n", "瘤之间。\n", "由于各亚型的预后及诊疗存在差异，本文将以弥漫大B细胞淋\n", "巴瘤，非特指型为主讨论诊疗指南。\n", "二、诊断及鉴别诊断\n", "（一）临床表现。\n", "1.症状。\n", "淋巴结（累及淋巴结）或结外（累及淋巴系统外的器官或组织）\n", "症状：任何淋巴结外部位都可能累及。患者通常出现进行性肿大的\n", "无痛性肿物，多见于颈部或腹部。累及淋巴结外者根据累及部位不\n", "同出现相应症状，常见的有：胃肠道、中枢神经系统、骨骼。也可\n", "以在肝脏、肺、肾脏或膀胱等罕见部位发生。可以出现疾病或治疗\n", "相关的肿瘤溶解综合征，即肿瘤细胞内容物自发释放或由于化疗反\n", "应而释放到血液中，引起电解质和代谢失衡，伴有进行性系统性毒\n" ] } ], "source": [ "with open(\"弥漫性大B细胞淋巴瘤诊疗指南+（2022年版）.pdf\", \"rb\") as f:\n", " reader = PdfReader(f)\n", " page = reader.pages[1]\n", " text = page.extract_text()\n", " print(\"PDF内容:\\n\", text)" ] }, { "cell_type": "code", "execution_count": 6, "id": "ffa46f7f-f045-4dba-8c21-401793d6e256", "metadata": { "execution": { "iopub.execute_input": "2026-05-14T11:55:47.451241Z", "iopub.status.busy": "2026-05-14T11:55:47.451079Z", "iopub.status.idle": "2026-05-14T11:55:50.566175Z", "shell.execute_reply": "2026-05-14T11:55:50.565558Z", "shell.execute_reply.started": "2026-05-14T11:55:47.451225Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Looking in indexes: https://mirrors.cloud.aliyuncs.com/pypi/simple\n", "Collecting python-docx\n", " Downloading https://mirrors.cloud.aliyuncs.com/pypi/packages/d0/00/1e03a4989fa5795da308cd774f05b704ace555a70f9bf9d3be057b680bcf/python_docx-1.2.0-py3-none-any.whl (252 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m253.0/253.0 kB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: lxml>=3.1.0 in /usr/local/lib/python3.11/site-packages (from python-docx) (6.0.2)\n", "Requirement already satisfied: typing_extensions>=4.9.0 in /usr/local/lib/python3.11/site-packages (from python-docx) (4.15.0)\n", "Installing collected packages: python-docx\n", "Successfully installed python-docx-1.2.0\n", "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n", "\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.3.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m26.1.1\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n" ] } ], "source": [ "!pip install python-docx" ] }, { "cell_type": "code", "execution_count": 7, "id": "507face7-dca2-4b25-b878-2d934518ae92", "metadata": { "execution": { "iopub.execute_input": "2026-05-14T11:55:52.071645Z", "iopub.status.busy": "2026-05-14T11:55:52.071452Z", "iopub.status.idle": "2026-05-14T11:55:52.223743Z", "shell.execute_reply": "2026-05-14T11:55:52.223209Z", "shell.execute_reply.started": "2026-05-14T11:55:52.071626Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Word内容:\n", "用户信息\n", "姓名: Alice\n", "年龄: 25\n", "城市: New York\n", "\n", "表格内容:\n", "['姓名', '年龄', '城市']\n", "['Bob', '30', 'London']\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.11/site-packages/docx/styles/styles.py:125: UserWarning: style lookup by style_id is deprecated. Use style name as key instead.\n", " return self._get_style_id_from_style(self[style_name], style_type)\n" ] } ], "source": [ "# 依赖库：python-docx\n", "# pip install python-docx\n", "\n", "from docx import Document\n", "\n", "# ------------------ 创建并保存Word文件 ------------------\n", "doc = Document()\n", "doc.add_heading(\"用户信息\", level=1) # 添加标题\n", "doc.add_paragraph(\"姓名: Alice\") # 添加段落\n", "doc.add_paragraph(\"年龄: 25\")\n", "doc.add_paragraph(\"城市: New York\")\n", "\n", "# 添加表格\n", "table = doc.add_table(rows=1, cols=3)\n", "table.style = \"LightShading-Accent1\"\n", "headers = table.rows[0].cells\n", "headers[0].text = \"姓名\"\n", "headers[1].text = \"年龄\"\n", "headers[2].text = \"城市\"\n", "row = table.add_row().cells\n", "row[0].text = \"Bob\"\n", "row[1].text = \"30\"\n", "row[2].text = \"London\"\n", "doc.save(\"demo.docx\")\n", "\n", "# ------------------ 读取并操作Word文件 ------------------\n", "doc = Document(\"demo.docx\")\n", "print(\"Word内容:\")\n", "for para in doc.paragraphs:\n", " print(para.text)\n", "\n", "print(\"\\n表格内容:\")\n", "for table in doc.tables:\n", " for row in table.rows:\n", " cells = [cell.text for cell in row.cells]\n", " print(cells)" ] }, { "cell_type": "code", "execution_count": 9, "id": "81a57df4-8483-438c-aa09-b7e2391b654e", "metadata": { "ExecutionIndicator": { "show": true }, "execution": { "iopub.execute_input": "2026-05-14T11:56:22.592000Z", "iopub.status.busy": "2026-05-14T11:56:22.591823Z", "iopub.status.idle": "2026-05-14T11:56:22.616357Z", "shell.execute_reply": "2026-05-14T11:56:22.615722Z", "shell.execute_reply.started": "2026-05-14T11:56:22.591984Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Word内容:\n", "“大语言模型与智能体在医学领域的应用”培训班安排\n", "\n", "\n", "\n", "表格内容:\n", "['日期', '时间', '讲授题目', '授课老师']\n", "['第一天', '9:00-10:00', '人工智能与大语言模型简介\\n-人工智能发展简史\\n-大语言模型的基本概念与分类 \\n-大语言模型在医学领域的潜力', '朱政 副教授']\n", "['第一天', '10:00-11:00', '大语言模型的工作原理\\n-语言模型的基本架构（Transformer）\\n-提示工程、检索增强生成、微调的概念\\n-模型如何生成文本', '朱政 副教授']\n", "['第一天', '11:00-11:30', '大语言模型的常见应用场景案例\\n-文本生成和问答系统\\n-诊断和预测\\n-智能体与自动化任务', '朱政 副教授']\n", "['第一天', '13:30-14:30', '大语言模型工具入门\\n-常用大语言模型工具介绍（如ChatGPT、Claude等）\\n-网页端问答工具的使用与实操', '']\n", "['第一天', '14:30-17:00', 'Python与大语言模型API入门\\n-Python环境配置与基础语法\\n-调用大语言模型API的基本方法\\n-实操：使用Python调用API生成文本', '']\n", "['第二天', '9:00-10:00', '提示词工程基础\\n-提示词的作用与设计原则\\n-常见提示词类型（指令式、开放式等）\\n-实操：设计提示词生成医学文本', '']\n", "['第二天', '10:00-11:30', '高级提示词技巧\\n-少样本提示\\n-思维链\\n-实操：使用思维链解决复杂医学问题', '']\n", "['第二天', '13:30-15:00', 'RAG（检索增强生成）基础\\n-RAG的基本原理与架构\\n-RAG在医学领域的应用场景\\n-实操：使用RAG进行医学文献检索与生成', '']\n", "['第二天', '15:00-17:00', 'RAG与知识图谱的结合应用\\n- 知识图谱的基本概念与构建方法\\n- 知识图谱在医学领域的应用\\n- 实操：结合RAG与知识图谱进行医学问答', '']\n", "['第三天', '9:00-10:00', '大语言模型微调基础\\n-什么是模型微调\\n-微调的常见方法（全参数微调、LoRA等）\\n-医学数据集的准备与处理', '']\n", "['', '10:00-11:30', '实操：基于医学数据的微调\\n-使用开源工具（如Hugging Face）进行微调\\n-实操：微调一个简单的医学问答模型', '']\n", "['', '13:30-15:00', '智能体基础\\n-什么是智能体（Agent）\\n-智能体的基本架构与工作原理\\n-智能体在医学领域的应用场景', '朱政 副教授']\n", "['', '15:00-17:00', '实操：构建医学问答智能体\\n-使用低代码平台构建智能体\\n-实操：设计一个简单的医学问答系统', '']\n" ] } ], "source": [ "doc = Document(\"./大语言模型与智能体在医学领域的应用-v3.docx\")\n", "print(\"Word内容:\")\n", "for para in doc.paragraphs:\n", " print(para.text)\n", "\n", "print(\"\\n表格内容:\")\n", "for table in doc.tables:\n", " for row in table.rows:\n", " cells = [cell.text for cell in row.cells]\n", " print(cells)" ] }, { "cell_type": "code", "execution_count": 11, "id": "3520dd06-fed2-4259-81a3-160326d0f4f8", "metadata": { "ExecutionIndicator": { "show": false }, "execution": { "iopub.execute_input": "2026-05-14T11:56:52.753679Z", "iopub.status.busy": "2026-05-14T11:56:52.753503Z", "iopub.status.idle": "2026-05-14T11:56:52.758613Z", "shell.execute_reply": "2026-05-14T11:56:52.758179Z", "shell.execute_reply.started": "2026-05-14T11:56:52.753662Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'nodes': [{'name': '弥漫性大B细胞淋巴瘤', 'type': '疾病', 'description': '来源于成熟B细胞的侵袭性肿瘤'}, {'name': '非特指型', 'type': '亚型', 'description': 'DLBCL的亚型之一'}, {'name': '无痛性肿物', 'type': '症状', 'description': '常见症状之一'}, {'name': '病理活检', 'type': '诊断方法', 'description': '确诊DLBCL的主要方法'}, {'name': 'R-CHOP', 'type': '治疗方案', 'description': '一线治疗方案'}, {'name': 'IPI', 'type': '预后因素', 'description': '国际预后指数'}, {'name': '年龄＞60岁', 'type': '危险因素', 'description': 'IPI危险因素之一'}, {'name': '三联鞘内注射', 'type': '预防方法', 'description': '中枢神经系统预防方法'}, {'name': '3个月一次随访', 'type': '随访建议', 'description': '治疗后随访频率'}], 'relationships': [{'source': '弥漫性大B细胞淋巴瘤', 'target': '非特指型', 'type': 'HAS_SUBTYPE'}, {'source': '弥漫性大B细胞淋巴瘤', 'target': '无痛性肿物', 'type': 'HAS_SYMPTOM'}, {'source': '弥漫性大B细胞淋巴瘤', 'target': '病理活检', 'type': 'DIAGNOSED_BY'}, {'source': '弥漫性大B细胞淋巴瘤', 'target': 'R-CHOP', 'type': 'TREATED_WITH'}, {'source': '弥漫性大B细胞淋巴瘤', 'target': 'IPI', 'type': 'HAS_PROGNOSTIC_FACTOR'}, {'source': '弥漫性大B细胞淋巴瘤', 'target': '年龄＞60岁', 'type': 'HAS_RISK_FACTOR'}, {'source': '弥漫性大B细胞淋巴瘤', 'target': '三联鞘内注射', 'type': 'PREVENTED_BY'}, {'source': '弥漫性大B细胞淋巴瘤', 'target': '3个月一次随访', 'type': 'FOLLOWED_BY'}]}\n", "[{'name': '弥漫性大B细胞淋巴瘤', 'type': '疾病', 'description': '来源于成熟B细胞的侵袭性肿瘤'}, {'name': '非特指型', 'type': '亚型', 'description': 'DLBCL的亚型之一'}, {'name': '无痛性肿物', 'type': '症状', 'description': '常见症状之一'}, {'name': '病理活检', 'type': '诊断方法', 'description': '确诊DLBCL的主要方法'}, {'name': 'R-CHOP', 'type': '治疗方案', 'description': '一线治疗方案'}, {'name': 'IPI', 'type': '预后因素', 'description': '国际预后指数'}, {'name': '年龄＞60岁', 'type': '危险因素', 'description': 'IPI危险因素之一'}, {'name': '三联鞘内注射', 'type': '预防方法', 'description': '中枢神经系统预防方法'}, {'name': '3个月一次随访', 'type': '随访建议', 'description': '治疗后随访频率'}]\n" ] } ], "source": [ "import json\n", "\n", "# 读取JSON文件\n", "with open('./dlbcl_knowledge_graph.json', 'r', encoding='utf-8') as file:\n", " data = json.load(file)\n", " print(data) # 打印JSON数据\n", "\n", "# 访问JSON数据中的特定字段\n", "print(data['nodes']) # 假设JSON数据中有'nodes'字段" ] } ], "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": "3.11.11" } }, "nbformat": 4, "nbformat_minor": 5 }