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

user_10829044 0
Viewed 1435

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.

enter image description here

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

styleframe pandas.excelwriter pandas dataframe python
4 Answers

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()
user_125431910

Are you restricted to using pandas or openpyxl? Because if you're comfortable using other libraries, the easiest way is probably using win32com to puppet excel as if you were a user manually copying and pasting the information over.

import pandas as pd
import io
import win32com.client as win32
import os

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



df = pd.read_csv(io.StringIO(csv_text),sep = ',')
temp_path = r"C:\Users\[User]\Desktop\temp.xlsx" #temporary location where to write this dataframe
df.to_excel(temp_path,index = False) #temporarily write this file to excel, change the output path as needed

excel = win32.Dispatch("Excel.Application")
excel.Visible = True #Switch these attributes to False if you'd prefer Excel to be invisible while excecuting this script
excel.ScreenUpdating = True 


temp_wb = excel.Workbooks.Open(temp_path)
temp_ws = temp_wb.Sheets("Sheet1")

output_path = r"C:\Users\[User]\Desktop\output.xlsx" #Path to your output excel file
output_wb = excel.Workbooks.Open(output_path)
output_ws = output_wb.Sheets("Output_sheet")

temp_ws.Range('A1').CurrentRegion.Copy(Destination = output_ws.Range('A1')) # Feel free to modify the Cell where you'd like the data to be copied to
input('Check that output looks like you expected\n') # Added pause here to make sure script doesn't overwrite your file before you've looked at the output

temp_wb.Close()
output_wb.Close(True) #Close output workbook and save changes
excel.Quit() #Close excel
os.remove(temp_path) #Delete temporary excel file

Let me know if this achieves what you were after.

user_142517560

I spent all day on this (and a co-worker of mine spent even longer). Thankfully, it seems to work for my purposes - pasting a dataframe into an Excel sheet without changing any of the Excel source formatting. It requires the pywin32 package, which "drives" Excel as if it a user, using VBA.

import pandas as pd
from win32com import client

# Grab your source data any way you please - I'm defining it manually here:
df = pd.DataFrame([
['LOOK','','','','','','','',''],
['','MA!','','','','','','',''],
['','','I pasted','','','','','',''],
['','','','into','','','','',''],
['','','','','Excel','','','',''],
['','','','','','without','','',''],
['','','','','','','breaking','',''],
['','','','','','','','all the',''],
['','','','','','','','','FORMATTING!']
])

# Copy the df to clipboard, so we can later paste it as text.
df.to_clipboard(index=False, header=False) 

excel_app = client.gencache.EnsureDispatch("Excel.Application") # Initialize instance

wb = excel_app.Workbooks.Open("Template.xlsx") # Load your (formatted) template workbook
ws = wb.Worksheets(1) # First worksheet becomes active - you could also refer to a sheet by name
ws.Range("A3").Select() # Only select a single cell using Excel nomenclature, otherwise this breaks
ws.PasteSpecial(Format='Unicode Text') # Paste as text
wb.SaveAs("Updated Template.xlsx") # Save our work
excel_app.Quit() # End the Excel instance

In general, when using the win32com approach, it's helpful to record yourself (with a macro) doing what you want to accomplish in Excel, then reading the generated macro code. Often this will give you excellent clues as to what commands you could invoke.

user_141271440

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()
user_133214510
Related