JSON输入到多个excel文件输出

Question

我有一个JSON文件，看起来像这样:

{
"Person A": {
"Company A": {
"Doctor": {
"Morning": "2000",
"Afternoon": "1200"
},
"Nurse": {}
}
},
"Person B": {
"Education": {
"main": {
"Primary school": {
"2012": "2A",
"2013": "3A"
},
"Secondary school": {
"2016": "1K",
"2017": "2K"
}
}
}
}
}

如何使用

提取Education表(不包含main)primary_school.xlsx作为excel文件:

year, class

secondary_school.xlsx作为excel文件:

year, class

PersonA_CompanyA_Doctor.xlsx

Time, salary

PersonA_CompanyA_Nurse.xlsx:

Time, salary

我已经尝试了json_normalize，但仍然无法得到我想要的结果。

pd.json_normalize(file, max_level=1)

是否有一个简单的方法来做它使用数据框架?

Answer 1

您作为示例提供的JSON数据是具有许多连接的图形形式，首先，在此数据结构上连接端口后，无论数据格式如何，-剪掉绿色线:)-

在此过程之后，您应该有一个一维数组iterable，您将在其中访问您指定的xlsx文件的名称。如果您特别询问连接部分，我们可以通过简化示例找到一般解决方案。

但是如果你想继续，

检查下面的详细示例，并在必要时使用pip install xlsxwritercli命令安装相关包。有了这个列表，就可以按顺序创建所需的xlsx文件了。'

import xlsxwriter
# Create a workbook and add a worksheet.
workbook = xlsxwriter.Workbook('Expenses01.xlsx')
worksheet = workbook.add_worksheet()
# Some data we want to write to the worksheet.
expenses = (
['Rent', 1000],
['Gas',   100],
['Food',  300],
['Gym',    50],
)
# Start from the first cell. Rows and columns are zero indexed.
row = 0
col = 0
# Iterate over the data and write it out row by row.
for item, cost in (expenses):
worksheet.write(row, col,     item)
worksheet.write(row, col + 1, cost)
row += 1
# Write a total using a formula.
worksheet.write(row, 0, 'Total')
worksheet.write(row, 1, '=SUM(B1:B4)')
workbook.close()