要将给定的假期数据生成 excel 文件,可以使用 python 的 pandas 和 openpyxl 库来处理。下面是一个示例代码,展示如何将 json 数据转换为 excel 文件。
数据来源:
https://github.com/natescarlet/holiday-cn/tree/master
安装依赖
首先,确保安装了 pandas 和 openpyxl。你可以使用以下命令来安装:
pip install pandas openpyxl
示例代码
以下是一个示例代码,展示如何将你的 json 数据转换为 excel 文件:
import pandas as pd
import json
from pandas import excelwriter
# 假期数据 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": "春节", "date": "2024-02-04", "isoffday": false},
{"name": "春节", "date": "2024-02-10", "isoffday": true},
{"name": "春节", "date": "2024-02-11", "isoffday": true},
{"name": "春节", "date": "2024-02-12", "isoffday": true},
{"name": "春节", "date": "2024-02-13", "isoffday": true},
{"name": "春节", "date": "2024-02-14", "isoffday": true},
{"name": "春节", "date": "2024-02-15", "isoffday": true},
{"name": "春节", "date": "2024-02-16", "isoffday": true},
{"name": "春节", "date": "2024-02-17", "isoffday": true},
{"name": "春节", "date": "2024-02-18", "isoffday": false},
{"name": "清明节", "date": "2024-04-04", "isoffday": true},
{"name": "清明节", "date": "2024-04-05", "isoffday": true},
{"name": "清明节", "date": "2024-04-06", "isoffday": true},
{"name": "清明节", "date": "2024-04-07", "isoffday": false},
{"name": "劳动节", "date": "2024-04-28", "isoffday": false},
{"name": "劳动节", "date": "2024-05-01", "isoffday": true},
{"name": "劳动节", "date": "2024-05-02", "isoffday": true},
{"name": "劳动节", "date": "2024-05-03", "isoffday": true},
{"name": "劳动节", "date": "2024-05-04", "isoffday": true},
{"name": "劳动节", "date": "2024-05-05", "isoffday": true},
{"name": "劳动节", "date": "2024-05-11", "isoffday": false},
{"name": "端午节", "date": "2024-06-10", "isoffday": true},
{"name": "中秋节", "date": "2024-09-14", "isoffday": false},
{"name": "中秋节", "date": "2024-09-15", "isoffday": true},
{"name": "中秋节", "date": "2024-09-16", "isoffday": true},
{"name": "中秋节", "date": "2024-09-17", "isoffday": true},
{"name": "国庆节", "date": "2024-09-29", "isoffday": false},
{"name": "国庆节", "date": "2024-10-01", "isoffday": true},
{"name": "国庆节", "date": "2024-10-02", "isoffday": true},
{"name": "国庆节", "date": "2024-10-03", "isoffday": true},
{"name": "国庆节", "date": "2024-10-04", "isoffday": true},
{"name": "国庆节", "date": "2024-10-05", "isoffday": true},
{"name": "国庆节", "date": "2024-10-06", "isoffday": true},
{"name": "国庆节", "date": "2024-10-07", "isoffday": true},
{"name": "国庆节", "date": "2024-10-12", "isoffday": false}
]
}
# 转换为 dataframe
df = pd.dataframe(holiday_data['days'])
# 更改表头
df.columns = ['假期名称', '日期', '是否休假']
df['是否休假'] = df['是否休假'].replace({true: '1', false: '0'})
# 显示 dataframe
print(df)
# 保存为 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}")
代码说明
- 导入库:导入
pandas和json。 - 定义假期数据:假期数据存储在
holiday_data变量中。 - 转换为 dataframe:使用
pd.dataframe()将假期数据转换为 pandas dataframe。 - 保存为 excel 文件:使用
df.to_excel()将 dataframe 保存为 excel 文件。 - 打印消息:显示文件保存路径。
运行此代码后,将生成一个名为 china_holidays_2024.xlsx 的 excel 文件,其中包含假期的详细信息。
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