Python (openpyxl) : Put data from one excel file to another (template file) & save it with another name while retaining the template

Question

I have a template excel file named as template.xlsx which has a number of sheets. I would like to copy data from a seperate .csv

Answer 1

There's not really any need to use the shutil module, as you could just use openpyxl.load_workbook to load your template and then save by a different name.

Additionally, ws.append(r) inside you're for loop will append to the existing data taken form template.xlsx, and it sounds like you only want to keep the header.

I've provided a fully reproducible example below that creates 'template.xlsx' for demonstration purposes. Then it loads 'template.xlsx' adds new data to it and saves as result.xlsx.

from openpyxl import Workbook
from openpyxl import load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows
from openpyxl.chart import PieChart, Reference, Series
import pandas as pd

template_file = 'template.xlsx'
output_file = 'result.xlsx'

#This part creates a workbook called template.xlsx with a sheet called 'data' and sheet called 'second_sheet'
writer = pd.ExcelWriter('template.xlsx', engine='openpyxl') 
wb  = writer.book
df = pd.DataFrame({'Pie': ["Cream", "Cherry", "Banoffee", "Apple"],
                  'Sold': [2, 2, 1, 4]})

df.to_excel(writer, index=False, sheet_name='data', startrow=1)
ws = writer.sheets['data']
ws['A1'] = 1
ws['B1'] = 2

ch = PieChart()
labels = Reference(ws, min_col=1, min_row=3, max_row=6)
data = Reference(ws, min_col=2, min_row=3, max_row=6)
ch.series = (Series(data),)
ch.title = "Pies sold"
ws.add_chart(ch, "D2")

ws = wb.create_sheet("Second_sheet")
ws['A1'] = 'This Sheet will not be overwitten'

wb.save(template_file)

#Now we load workbook called template.xlsx modify the 'data' sheet and save under a new name
#template.xlsx has not been modified

df_new = pd.DataFrame({'different_name': ["Blueberry", "Pumpkin", "Mushroom", "Turnip"],
                  'different_numbers': [4, 6, 2, 1]})

wb = load_workbook(template_file)

ws = wb.get_sheet_by_name('data') #Getting the sheet named as 'data'

rows = dataframe_to_rows(df_new, index=False, header=False)

for r_idx, row in enumerate(rows, 1):
    for c_idx, value in enumerate(row, 1):
         ws.cell(row=r_idx+2, column=c_idx, value=value)

wb.save(output_file)

Expected Output: