Pandas dataframe to specific sheet in a excel file without losing formatting-CodePudding

I have a dataframe like as shown below

Date,cust,region,Abr,Number,         
12/01/2010,Company_Name,Somecity,Chi,36,
12/02/2010,Company_Name,Someothercity,Nyc,156,

df = pd.read_clipboard(sep=',')

I would like to write this dataframe to a specific sheet (called temp_data) in the file output.xlsx

Therfore I tried the below

import pandas
from openpyxl import load_workbook

book = load_workbook('output.xlsx')
writer = pandas.ExcelWriter('output.xlsx', engine='openpyxl') 
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

I also tried the below

path = 'output.xlsx'

with pd.ExcelWriter(path) as writer:
    writer.book = openpyxl.load_workbook(path)
    final_df.to_excel(writer, sheet_name='temp_data',startrow=10)
writer.save()

But am not sure whether I am overcomplicating it. I get an error like as shown below. But I verifiedd in task manager, no excel file/task is running

BadZipFile: File is not a zip file

Moreover, I also lose my formatting of the output.xlsx file when I manage to write the file based on below suggestions. I already have a neatly formatted font,color file etc and just need to put the data inside.

Is there anyway to write the pandas dataframe to a specific sheet in an existing excel file? WITHOUT LOSING FORMATTING OF THE DESTIATION FILE

CodePudding user response：

You need to just use to_excel from pandas dataframe.

Try below snippet:

df1.to_excel("output.xlsx",sheet_name='Sheet_name')

If there is existing data please try below snippet:

writer = pd.ExcelWriter('output.xlsx', engine='openpyxl')
# try to open an existing workbook
writer.book = load_workbook('output.xlsx')
df.to_excel(writer,index=False,header=False,startrow=len(reader) 1)
writer.save()
writer.close()

CodePudding user response：

The solution to your problem exists here: How to save a new sheet in an existing excel file, using Pandas?

To add a new sheet from a df:

import pandas as pd
from openpyxl import load_workbook
import os
import numpy as np

os.chdir(r'C:\workdir')

path = 'output.xlsx'
book = load_workbook(path)
writer = pd.ExcelWriter(path, engine = 'openpyxl')
writer.book = book
### replace with your df ###
x = np.random.randn(100, 2)
df = pd.DataFrame(x)


df.to_excel(writer, sheet_name = 'x')
writer.save()
writer.close()