How to save a new sheet in an existing excel file, using Pandas?

In the example you shared you are loading the existing file into book and setting the writer.book value to be book. In the line writer.sheets = dict((ws.title, ws) for ws in book.worksheets) you are accessing each sheet in the workbook as ws. The sheet title is then ws so you are creating a dictionary of {sheet_titles: sheet} key, value pairs. This dictionary is then set to writer.sheets. Essentially these steps are just loading the existing data from 'Masterfile.xlsx' and populating your writer with them.

Now let’s say you already have a file with x1 and x2 as sheets. You can use the example code to load the file and then could do something like this to add x3 and x4.

path = r"C:UsersfedelDesktopexcelDataPhD_data.xlsx"
writer = pd.ExcelWriter(path, engine='openpyxl')
df3.to_excel(writer, 'x3', index=False)
df4.to_excel(writer, 'x4', index=False)
writer.save()

That should do what you are looking for.

I would strongly recommend you work directly with openpyxl since it now supports Pandas DataFrames.

This allows you to concentrate on the relevant Excel and Pandas code.

A simple example for writing multiple data to excel at a time. And also when you want to append data to a sheet on a written excel file (closed excel file).

When it is your first time writing to an excel. (Writing “df1” and “df2” to “1st_sheet” and “2nd_sheet”)

import pandas as pd 
from openpyxl import load_workbook

df1 = pd.DataFrame([[1],[1]], columns=['a'])
df2 = pd.DataFrame([[2],[2]], columns=['b'])
df3 = pd.DataFrame([[3],[3]], columns=['c'])

excel_dir = "my/excel/dir"

with pd.ExcelWriter(excel_dir, engine='xlsxwriter') as writer:    
    df1.to_excel(writer, '1st_sheet')   
    df2.to_excel(writer, '2nd_sheet')   
    writer.save()    

After you close your excel, but you wish to “append” data on the same excel file but another sheet, let’s say “df3” to sheet name “3rd_sheet”.

book = load_workbook(excel_dir)
with pd.ExcelWriter(excel_dir, engine='openpyxl') as writer:
    writer.book = book
    writer.sheets = dict((ws.title, ws) for ws in book.worksheets)    

    ## Your dataframe to append. 
    df3.to_excel(writer, '3rd_sheet')  

    writer.save()     

Be noted that excel format must not be xls, you may use xlsx one.

You can read existing sheets of your interests, for example, ‘x1’, ‘x2’, into memory and ‘write’ them back prior to adding more new sheets (keep in mind that sheets in a file and sheets in memory are two different things, if you don’t read them, they will be lost). This approach uses ‘xlsxwriter’ only, no openpyxl involved.

import pandas as pd
import numpy as np

path = r"C:UsersfedelDesktopexcelDataPhD_data.xlsx"

# begin <== read selected sheets and write them back
df1 = pd.read_excel(path, sheet_name='x1', index_col=0) # or sheet_name=0
df2 = pd.read_excel(path, sheet_name='x2', index_col=0) # or sheet_name=1
writer = pd.ExcelWriter(path, engine='xlsxwriter')
df1.to_excel(writer, sheet_name='x1')
df2.to_excel(writer, sheet_name='x2')
# end ==>

# now create more new sheets
x3 = np.random.randn(100, 2)
df3 = pd.DataFrame(x3)

x4 = np.random.randn(100, 2)
df4 = pd.DataFrame(x4)

df3.to_excel(writer, sheet_name='x3')
df4.to_excel(writer, sheet_name='x4')
writer.save()
writer.close()

If you want to preserve all existing sheets, you can replace above code between begin and end with:

# read all existing sheets and write them back
writer = pd.ExcelWriter(path, engine='xlsxwriter')
xlsx = pd.ExcelFile(path)
for sheet in xlsx.sheet_names:
    df = xlsx.parse(sheet_name=sheet, index_col=0)
    df.to_excel(writer, sheet_name=sheet)

#This program is to read from excel workbook to fetch only the URL domain names and write to the existing excel workbook in a different sheet..
#Developer - Nilesh K
import pandas as pd
from openpyxl import load_workbook #for writting to the existing workbook

df = pd.read_excel("urlsearch_test.xlsx")

#You can use the below for the relative path.
# r"C:UsersxyzDesktopPython

l = [] #To make a list in for loop

#begin
#loop starts here for fetching http from a string and iterate thru the entire sheet. You can have your own logic here.
for index, row in df.iterrows():
    try: 
        str = (row['TEXT']) #string to read and iterate
        y = (index)
        str_pos = str.index('http') #fetched the index position for http
        str_pos1 = str.index('/', str.index('/')+2) #fetched the second 3rd position of / starting from http
        str_op = str[str_pos:str_pos1] #Substring the domain name
        l.append(str_op) #append the list with domain names

    #Error handling to skip the error rows and continue.
    except ValueError:
            print('Error!')
print(l)
l = list(dict.fromkeys(l)) #Keep distinct values, you can comment this line to get all the values
df1 = pd.DataFrame(l,columns=['URL']) #Create dataframe using the list
#end

#Write using openpyxl so it can be written to same workbook
book = load_workbook('urlsearch_test.xlsx')
writer = pd.ExcelWriter('urlsearch_test.xlsx',engine = 'openpyxl')
writer.book = book
df1.to_excel(writer,sheet_name = 'Sheet3')
writer.save()
writer.close()

#The below can be used to write to a different workbook without using openpyxl
#df1.to_excel(r"C:UsersxyzDesktopPythonurlsearch1_test.xlsx",index='false',sheet_name='sheet1')

Another fairly simple way to go about this is to make a method like this:

def _write_frame_to_new_sheet(path_to_file=None, sheet_name='sheet', data_frame=None):
    book = None
    try:
        book = load_workbook(path_to_file)
    except Exception:
        logging.debug('Creating new workbook at %s', path_to_file)
    with pd.ExcelWriter(path_to_file, engine='openpyxl') as writer:
        if book is not None:
            writer.book = book
        data_frame.to_excel(writer, sheet_name, index=False)

The idea here is to load the workbook at path_to_file if it exists and then append the data_frame as a new sheet with sheet_name. If the workbook does not exist, it is created. It seems that neither openpyxl or xlsxwriter append, so as in the example by @Stefano above, you really have to load and then rewrite to append.

Can do it without using ExcelWriter, using tools in openpyxl
This can make adding fonts to the new sheet much easier using openpyxl.styles

import pandas as pd
from openpyxl import load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows

#Location of original excel sheet
fileLocation =r'C:workspacedata.xlsx'

#Location of new file which can be the same as original file
writeLocation=r'C:workspacedataNew.xlsx'

data = {'Name':['Tom','Paul','Jeremy'],'Age':[32,43,34],'Salary':[20000,34000,32000]}

#The dataframe you want to add
df = pd.DataFrame(data)

#Load existing sheet as it is
book = load_workbook(fileLocation)
#create a new sheet
sheet = book.create_sheet("Sheet Name")

#Load dataframe into new sheet
for row in dataframe_to_rows(df, index=False, header=True):
    sheet.append(row)

#Save the modified excel at desired location    
book.save(writeLocation)

For creating a new file

x1 = np.random.randn(100, 2)
df1 = pd.DataFrame(x1)
with pd.ExcelWriter('sample.xlsx') as writer:  
    df1.to_excel(writer, sheet_name='x1')

For appending to the file, use the argument mode='a' in pd.ExcelWriter.

x2 = np.random.randn(100, 2)
df2 = pd.DataFrame(x2)
with pd.ExcelWriter('sample.xlsx', engine='openpyxl', mode='a') as writer:  
    df2.to_excel(writer, sheet_name='x2')

Default is mode ='w'.
See documentation.

import pandas as pd
import openpyxl

writer = pd.ExcelWriter('test.xlsx', engine='openpyxl')
data_df.to_excel(writer, 'sheet_name')
writer.save()
writer.close()

Every time you want to save a Pandas DataFrame to an Excel, you may call this function:

import os

def save_excel_sheet(df, filepath, sheetname, index=False):
    # Create file if it does not exist
    if not os.path.exists(filepath):
        df.to_excel(filepath, sheet_name=sheetname, index=index)

    # Otherwise, add a sheet. Overwrite if there exists one with the same name.
    else:
        with pd.ExcelWriter(filepath, engine='openpyxl', if_sheet_exists='replace', mode='a') as writer:
            df.to_excel(writer, sheet_name=sheetname, index=index)

if you want to add empty sheet

xw = pd.ExcelWriter(file_path, engine='xlsxwriter')    
pd.DataFrame().to_excel(xw, 'sheet11')

if you get empty sheet

sheet = xw.sheets['sheet11']

The following solution worked for me:

    # dataframe to save
    df = pd.DataFrame({"A":[1,2], "B":[3,4]})
    
    # path where you want to save
    path = "./..../..../.../test.xlsx"
    
    # if an excel sheet named `test` is already present append on sheet 2
    if os.path.isfile(path):  
      with pd.ExcelWriter(path, mode='a') as writer:
        df.to_excel(writer, sheet_name= "sheet_2")
    else:
    # if not present then write to a excel file on sheet 1
      with pd.ExcelWriter(path) as writer:
        df.to_excel(writer, sheet_name= "sheet_1")

Now, if you want to write multiple dataframes on different sheets, simply add a loop and keep on changing the sheet_name.