我有一个JSON,需要转换为Excel。我使用的是带有xlsxwriter库的Python 3.8。下面是JSON示例。
{
"companyId": "123456",
"companyName": "Test",
"companyStatus": "ACTIVE",
"document": {
"employee": {
"employeeId": "EM1567",
"employeeLastName": "Test Last",
"employeeFirstName": "Test Fist"
},
"expenseEntry": [
{
"allocation": [
{
"allocationId": "03B249B3598",
"journal": [
{
"journalAccountCode": "888",
"journalPayee": "EMPL",
"journalPayer": "COMP",
"taxGuid": [
"51645A638114E"
]
},
{
"journalAccountCode": "999",
"journalPayee": "EMPL",
"journalPayer": "EMPL",
"taxGuid": [
"8114E51645A63"
]
},
],
"tax": [
{
"taxCode": "TAX123",
"taxSource": "SYST"
},
{
"taxCode": "TAX456",
"taxSource": "SYST"
}
]
}
],
"approvedAmount": 200.0,
"entryDate": "2020-12-10",
"entryId": "ENTRY9988"
}
],
"report": {
"currencyCode": "USD",
"reportCreationDate": "2020-12-10",
"reportId": "ACA849BBB",
"reportName": "Test Report",
"totalApprovedAmount": 200.0
}
},
"id": "c71b7d756f549"
}
我现在的代码是:https://repl.it/@tonyiscoming/jsontoexcel
我试过用熊猫
import pandas as pd
df = pd.json_normalize(data, max_level=5)
df.to_excel('test.xlsx', index=False)
并得到了结果
我试着用json_excel_converter
from json_excel_converter import Converter
from json_excel_converter.xlsx import Writer
conv = Converter()
conv.convert(data, Writer(file='test.xlsx'))
并得到了结果
这是我的期望
在这种情况下,有人能帮我一下吗?非常感谢。
发布于 2021-01-21 22:13:50
这就是你要找的代码。我使用XlsxWriter包做到了这一点。首先,我用一些单元格格式的东西做了一个模板。在那之后,我根据您的JSON使用输入值。
import xlsxwriter
from itertools import zip_longest
data = [
{
"companyId": "123456",
"companyName": "Test",
"companyStatus": "ACTIVE",
"document": {
"employee": {
"employeeId": "EM1567",
"employeeLastName": "Test Last",
"employeeFirstName": "Test Fist"
},
"expenseEntry": [
{
"allocation": [
{
"allocationId": "03B249B3598",
"journal": [
{
"journalAccountCode": "888",
"journalPayee": "EMPL",
"journalPayer": "COMP",
"taxGuid": [
"51645A638114E"
]
},
{
"journalAccountCode": "999",
"journalPayee": "EMPL",
"journalPayer": "EMPL",
"taxGuid": [
"8114E51645A63"
]
},
],
"tax": [
{
"taxCode": "TAX123",
"taxSource": "SYST"
},
{
"taxCode": "TAX456",
"taxSource": "SYST"
}
]
}
],
"approvedAmount": 200.0,
"entryDate": "2020-12-10",
"entryId": "ENTRY9988"
}
],
"report": {
"currencyCode": "USD",
"reportCreationDate": "2020-12-10",
"reportId": "ACA849BBB",
"reportName": "Test Report",
"totalApprovedAmount": 200.0
}
},
"id": "c71b7d756f549"
}
]
xlsx_file = 'your_file_name_here.xlsx'
# define the excel file
workbook = xlsxwriter.Workbook(xlsx_file)
# create a sheet for our work, defaults to Sheet1.
worksheet = workbook.add_worksheet()
# common merge format
merge_format = workbook.add_format({'align': 'center', 'valign': 'vcenter'})
# set all column width to 20
worksheet.set_column('A:V', 20)
# column wise template creation (A-V)
worksheet.merge_range(0, 0, 4, 0, 'companyId', merge_format) # A
worksheet.merge_range(0, 1, 4, 1, 'companyName', merge_format) # B
worksheet.merge_range(0, 2, 4, 2, 'companyStatus', merge_format) # C
worksheet.merge_range(0, 3, 0, 20, 'document', merge_format) # C-U
worksheet.merge_range(1, 3, 1, 5, 'employee', merge_format) # D-F
worksheet.merge_range(2, 3, 4, 3, 'employeeId', merge_format) # D
worksheet.merge_range(2, 4, 4, 4, 'employeeLastName', merge_format) # E
worksheet.merge_range(2, 5, 4, 5, 'employeeFirstName', merge_format) # F
worksheet.merge_range(1, 6, 1, 15, 'expenseEntry', merge_format) # G-P
worksheet.merge_range(2, 6, 2, 12, 'allocation', merge_format) # G-M
worksheet.merge_range(3, 6, 4, 6, 'allocationId', merge_format) # G
worksheet.merge_range(3, 7, 3, 10, 'journal', merge_format) # H-K
worksheet.write(4, 7, 'journalAccountCode') # H
worksheet.write(4, 8, 'journalPayee') # I
worksheet.write(4, 9, 'journalPayer') # J
worksheet.write(4, 10, 'taxGuid') # K
worksheet.merge_range(3, 11, 3, 12, 'tax', merge_format) # L-M
worksheet.write(4, 11, 'taxCode') # L
worksheet.write(4, 12, 'taxSource') # M
worksheet.merge_range(2, 13, 4, 13, 'approvedAmount', merge_format) # N
worksheet.merge_range(2, 14, 4, 14, 'entryDate', merge_format) # O
worksheet.merge_range(2, 15, 4, 15, 'entryId', merge_format) # P
worksheet.merge_range(1, 16, 1, 20, 'report', merge_format) # Q-U
worksheet.merge_range(2, 16, 4, 16, 'currencyCode', merge_format) # Q
worksheet.merge_range(2, 17, 4, 17, 'reportCreationDate', merge_format) # R
worksheet.merge_range(2, 18, 4, 18, 'reportId', merge_format) # S
worksheet.merge_range(2, 19, 4, 19, 'reportName', merge_format) # T
worksheet.merge_range(2, 20, 4, 20, 'totalApprovedAmount', merge_format) # U
worksheet.merge_range(0, 21, 4, 21, 'id', merge_format) # V
# inserting data
row = 5
for obj in data:
worksheet.write(row, 0, obj.get('companyId'))
worksheet.write(row, 1, obj.get('companyName'))
worksheet.write(row, 2, obj.get('companyStatus'))
document = obj.get('document', {})
# employee details
employee = document.get('employee', {})
worksheet.write(row, 3, employee.get('employeeId'))
worksheet.write(row, 4, employee.get('employeeLastName'))
worksheet.write(row, 5, employee.get('employeeFirstName'))
# report details
report = document.get('report', {})
worksheet.write(row, 16, report.get('currencyCode'))
worksheet.write(row, 17, report.get('reportCreationDate'))
worksheet.write(row, 18, report.get('reportId'))
worksheet.write(row, 19, report.get('reportName'))
worksheet.write(row, 20, report.get('totalApprovedAmount'))
worksheet.write(row, 21, obj.get('id'))
# expenseEntry details
expense_entries = document.get('expenseEntry', [])
for expense_entry in expense_entries:
worksheet.write(row, 13, expense_entry.get('approvedAmount'))
worksheet.write(row, 14, expense_entry.get('entryDate'))
worksheet.write(row, 15, expense_entry.get('entryId'))
# allocation details
allocations = expense_entry.get('allocation', [])
for allocation in allocations:
worksheet.write(row, 6, allocation.get('allocationId'))
# journal and tax details
journals = allocation.get('journal', [])
taxes = allocation.get('tax', [])
for journal_and_tax in list(zip_longest(journals, taxes)):
journal, tax = journal_and_tax
worksheet.write(row, 7, journal.get('journalAccountCode'))
worksheet.write(row, 8, journal.get('journalPayee'))
worksheet.write(row, 9, journal.get('journalPayer'))
worksheet.write(row, 11, tax.get('taxCode'))
worksheet.write(row, 12, tax.get('taxSource'))
# taxGuid details
tax_guides = journal.get('taxGuid', [])
if not tax_guides:
row = row + 1
continue
for tax_guide in tax_guides:
worksheet.write(row, 10, tax_guide)
row = row + 1
# finally close the created excel file
workbook.close()
首先,您可以创建自己的模板并将其保存在其他地方,而不是在脚本中创建模板。然后获取该模板的副本,并使用脚本添加数据。这将使您有机会制作自己的基本模板,否则,您必须使用脚本格式化您的excel,如边框格式化,合并单元格等。
我使用了来自itertools的zip_longest
python内置函数来压缩journal
和tax
对象。只需遵循Python – Itertools.zip_longest()或Python's zip_longest Function的文章即可获得示例。如果你不理解我的代码,请在下面发表评论。
发布于 2020-12-15 09:15:09
在Excel Grid中拥有空单元格并不是什么真正“合适”的事情,这就是为什么json_excel_converter会有这样的行为。所以,如果你想做到这一点,恐怕你必须自己开发它。
https://stackoverflow.com/questions/65299781
复制相似问题