can xlsxwriter use another file as a template?

All supported features are documented. Future features are on the Roadmap.,Frequently Asked Questions,The section outlines some answers to frequently asked questions.,The reason for this is that a protected/encrypted xlsx file is in a different format from an ordinary xlsx file. This would require a lot of additional work, and testing, and isn’t something that is on the XlsxWriter roadmap.

worksheet.write_formula('A1', '=2+2', None, 4)

worksheet.write_formula('A1', '=Sheet1!$A$1', None, '')

msoffice - crypt.exe - e - p password clear.xlsx encrypted.xlsx

Suggestion : 2

Last Updated : 18 Aug, 2021,GATE CS 2021 Syllabus

1._

 pip install xlsxwriter

Suggestion : 3

import pandas as pd

sales_df = pd.read_excel('https://github.com/chris1610/pbpython/blob/master/data/sample-salesv3.xlsx?raw=true')
sales_summary = sales_df.groupby(['name'])['ext price'].agg(['sum', 'mean'])
# Reset the index
for consistency when saving in Excel
sales_summary.reset_index(inplace = True)
writer = pd.ExcelWriter('sales_summary.xlsx', engine = 'xlsxwriter')
sales_summary.to_excel(writer, 'summary', index = False)
writer.save()

def format_excel(writer):
   ""
" Add Excel specific formatting to the workbook
""
"
# Get the workbook and the summary sheet so we can add the formatting
workbook = writer.book
worksheet = writer.sheets['summary']
# Add currency formatting and apply it
money_fmt = workbook.add_format({
   'num_format': 42,
   'align': 'center'
})
worksheet.set_column('A:A', 20)
worksheet.set_column('B:C', 15, money_fmt)
worksheet.add_table('A1:C22', {
   'columns': [{
         'header': 'account',
         'total_string': 'Total'
      },
      {
         'header': 'Total Sales',
         'total_function': 'sum'
      },
      {
         'header': 'Average Sales',
         'total_function': 'average'
      }
   ],
   'autofilter': False,
   'total_row': True,
   'style': 'Table Style Medium 20'
})

sales_df = pd.read_excel('https://github.com/chris1610/pbpython/blob/master/data/sample-salesv3.xlsx?raw=true')
sales_summary = sales_df.groupby(['name'])['ext price'].agg(['sum', 'mean'])
# Reset the index
for consistency when saving in Excel
sales_summary.reset_index(inplace = True)
writer = pd.ExcelWriter('sales_summary.xlsx', engine = 'xlsxwriter')
sales_summary.to_excel(writer, 'summary', index = False)
format_excel(writer)
writer.save()

vba_extract.py source_file.xlsm
Extracted vbaProject.bin

import pandas as pd

sales_df = pd.read_excel('https://github.com/chris1610/pbpython/blob/master/data/sample-salesv3.xlsx?raw=true')
sales_summary = sales_df.groupby(['name'])['ext price'].agg(['sum', 'mean'])
# Reset the index
for consistency when saving in Excel
sales_summary.reset_index(inplace = True)
writer = pd.ExcelWriter('sales_summary.xlsx', engine = 'xlsxwriter')
sales_summary.to_excel(writer, 'summary', index = False)
workbook = writer.book
workbook.add_vba_project('vbaProject.bin')
writer.save()

writer = pd.ExcelWriter('sales_summary.xlsm', engine = 'xlsxwriter')