Python进行JSON和Excel文件转换处理指南

[
  {"Name": "Alice", "Age": 30, "Department": "HR"},
  {"Name": "Bob", "Age": 27, "Department": "IT"},
  {"Name": "Charlie", "Age": 35, "Department": "Sales"}
]

from spire.xls import Workbook, FileFormat, Color
import json

# 加载 JSON 数据
with open("employees.json", "r", encoding="utf-8") as f:
    data = json.load(f)

workbook = Workbook()
workbook.Worksheets.Clear()
sheet = workbook.Worksheets.Add("employees")

# 写入表头并设置样式
headers = list(data[0].keys())
for col, header in enumerate(headers):
    cell = sheet.Range[1, col + 1]
    cell.Text = header
    cell.Style.Font.FontName = "Times New Roman"
    cell.Style.Font.IsBold = True
    cell.Style.Font.Size = 16.0
    cell.Style.Color = Color.get_LightGray()

# 写入数据并设置样式
for row_idx, row in enumerate(data, start=2):
    for col_idx, key in enumerate(headers):
        sheet.Range[row_idx, col_idx + 1].Text = str(row.get(key, ""))
dataRange = sheet.Range[2, 1, sheet.LastRow, sheet.LastColumn]
dataRange.Style.Color = Color.get_LightPink()
dataRange.Style.Font.FontName = "Arial"
dataRange.Style.Font.Size = 12.0
dataRange.BorderInside()
dataRange.BorderAround()

# 自动调整列宽
for i in range(1, len(headers) + 1):
    sheet.AutoFitColumn(i)

# 保存 Excel 文件
workbook.SaveToFile("output/employees.xlsx", FileFormat.Version2016)
workbook.Dispose()

import json

# 获取最大行列
rows = sheet.LastRow
cols = sheet.LastColumn

# 提取表头
headers = [sheet.Range[1, i + 1].Text for i in range(cols)]
data = []

# 构造 JSON 数据
for r in range(2, rows + 1):
    row_data = {}
    for c in range(cols):
        row_data[headers[c]] = sheet.Range[r, c + 1].Text
    data.append(row_data)

# 输出 JSON 文件
with open("output/products_out.json", "w", encoding="utf-8") as f:
    json.dump(data, f, indent=2, ensure_ascii=False)

[
  {
    "name": "John",
    "email": "john@example.com",
    "address": {
      "city": "New York",
      "zip": "10001"
    }
  }
]

def flatten_json(obj, prefix=""):
    flat = {}
    for key, value in obj.items():
        full_key = f"{prefix}{key}" if prefix == "" else f"{prefix}.{key}"
        if isinstance(value, dict):
            flat.update(flatten_json(value, full_key))
        else:
            flat[full_key] = value
    return flat

# 使用扁平化函数
with open("nested.json", "r", encoding="utf-8") as f:
    nested_data = json.load(f)

flat_data = [flatten_json(item) for item in nested_data]

[
  {
    "name": "John",
    "email": "john@example.com",
    "address.city": "New York",
    "address.zip": "10001"
  }
]