使用Python將JSON格式的假期數(shù)據(jù)轉(zhuǎn)換為Excel文件

更新時間：2025年12月05日 09:56:19 作者：weixin_46244623

本文介紹了如何使用Python將JSON格式的假期數(shù)據(jù)轉(zhuǎn)換為Excel文件,通過pandas和openpyxl庫,將包含2024年中國節(jié)假日信息（如元旦、春節(jié)等）的JSON數(shù)據(jù)轉(zhuǎn)換為DataFrame,并最終導出為Excel格式,代碼示例展示了完整的處理流程,需要的朋友可以參考下

安裝依賴

首先，確保安裝了 pandas 和 openpyxl。你可以使用以下命令來安裝：

pip install pandas openpyxl

示例代碼

以下是一個示例代碼，展示如何將你的 JSON 數(shù)據(jù)轉(zhuǎn)換為 Excel 文件：

import pandas as pd
import json
from pandas import ExcelWriter


# 假期數(shù)據(jù) JSON
holiday_data = {
    "$schema": "https://raw.githubusercontent.com/NateScarlet/holiday-cn/master/schema.json",
    "$id": "https://raw.githubusercontent.com/NateScarlet/holiday-cn/master/2024.json",
    "year": 2024,
    "papers": [
        "https://www.gov.cn/zhengce/zhengceku/202310/content_6911528.htm"
    ],
    "days": [
        {"name": "元旦", "date": "2024-01-01", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-04", "isOffDay": False},
        {"name": "春節(jié)", "date": "2024-02-10", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-11", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-12", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-13", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-14", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-15", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-16", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-17", "isOffDay": True},
        {"name": "春節(jié)", "date": "2024-02-18", "isOffDay": False},
        {"name": "清明節(jié)", "date": "2024-04-04", "isOffDay": True},
        {"name": "清明節(jié)", "date": "2024-04-05", "isOffDay": True},
        {"name": "清明節(jié)", "date": "2024-04-06", "isOffDay": True},
        {"name": "清明節(jié)", "date": "2024-04-07", "isOffDay": False},
        {"name": "勞動節(jié)", "date": "2024-04-28", "isOffDay": False},
        {"name": "勞動節(jié)", "date": "2024-05-01", "isOffDay": True},
        {"name": "勞動節(jié)", "date": "2024-05-02", "isOffDay": True},
        {"name": "勞動節(jié)", "date": "2024-05-03", "isOffDay": True},
        {"name": "勞動節(jié)", "date": "2024-05-04", "isOffDay": True},
        {"name": "勞動節(jié)", "date": "2024-05-05", "isOffDay": True},
        {"name": "勞動節(jié)", "date": "2024-05-11", "isOffDay": False},
        {"name": "端午節(jié)", "date": "2024-06-10", "isOffDay": True},
        {"name": "中秋節(jié)", "date": "2024-09-14", "isOffDay": False},
        {"name": "中秋節(jié)", "date": "2024-09-15", "isOffDay": True},
        {"name": "中秋節(jié)", "date": "2024-09-16", "isOffDay": True},
        {"name": "中秋節(jié)", "date": "2024-09-17", "isOffDay": True},
        {"name": "國慶節(jié)", "date": "2024-09-29", "isOffDay": False},
        {"name": "國慶節(jié)", "date": "2024-10-01", "isOffDay": True},
        {"name": "國慶節(jié)", "date": "2024-10-02", "isOffDay": True},
        {"name": "國慶節(jié)", "date": "2024-10-03", "isOffDay": True},
        {"name": "國慶節(jié)", "date": "2024-10-04", "isOffDay": True},
        {"name": "國慶節(jié)", "date": "2024-10-05", "isOffDay": True},
        {"name": "國慶節(jié)", "date": "2024-10-06", "isOffDay": True},
        {"name": "國慶節(jié)", "date": "2024-10-07", "isOffDay": True},
        {"name": "國慶節(jié)", "date": "2024-10-12", "isOffDay": False}
    ]
}


# 轉(zhuǎn)換為 DataFrame
df = pd.DataFrame(holiday_data['days'])


# 更改表頭
df.columns = ['假期名稱', '日期', '是否休假']
df['是否休假'] = df['是否休假'].replace({True: '1', False: '0'})

# 顯示 DataFrame
print(df)


# 保存為 Excel 文件
output_file = 'china_holidays_2024.xlsx'
with ExcelWriter(output_file, engine='openpyxl') as writer:
    df.to_excel(writer, sheet_name='Holidays', index=False)


print(f"Excel 文件已保存到 {output_file}")


print(f"Excel 文件已保存到 {output_file}")

代碼說明

導入庫：導入 pandas 和 json。
定義假期數(shù)據(jù)：假期數(shù)據(jù)存儲在 holiday_data 變量中。
轉(zhuǎn)換為 DataFrame：使用 pd.DataFrame() 將假期數(shù)據(jù)轉(zhuǎn)換為 Pandas DataFrame。
保存為 Excel 文件：使用 df.to_excel() 將 DataFrame 保存為 Excel 文件。
打印消息：顯示文件保存路徑。

運行此代碼后，將生成一個名為 china_holidays_2024.xlsx 的 Excel 文件，其中包含假期的詳細信息。

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