Appending Pandas DataFrame to existing Excel document

enter_display_name_here picture enter_display_name_here · Jan 14, 2019 · Viewed 18.2k times · Source

Per https://github.com/pandas-dev/pandas/pull/21251/files/09e5b456e1af5cde55f18f903ab90c761643b05a, we should be able to append DataFrames to new XLSX sheets.

Based on the documentation, I tried the following:

>>> import pandas as pd
>>>                
... d1 = pd.DataFrame({"A":['Bob','Joe', 'Mark'], 
...                "B":['5', '10', '20']})
>>> d2 = pd.DataFrame({"A":['Jeffrey','Ann', 'Sue'], 
...                "B":['1', '2', '3']})
>>> 
>>> # Create XLSX document for ticker
... writer = pd.ExcelWriter('test.xlsx',engine='openpyxl')
>>> d1.to_excel(writer,sheet_name='d1')
>>> writer.save()
>>> 
>>> writer = pd.ExcelWriter('test.xlsx',engine='openpyxl', mode='a')
>>> d2.to_excel(writer,sheet_name='d2')
>>> writer.save()
>>> 
>>> pd.__version__
'0.23.4'     # Just updated this per a comment
>>> 
>>> 

The result is a single workbook named 'test.xlsx' with a single tab 'd2'.

How can I prevent the workbook/sheet form being overwritten?

Answer

It_is_Chris picture It_is_Chris · Jan 14, 2019

You can use with:

with pd.ExcelWriter('test.xlsx', engine='openpyxl', mode='a') as writer:
    d1.to_excel(writer,sheet_name='d1')
    d2.to_excel(writer,sheet_name='d2')
    writer.save()

writer.close()

update

This should work just note that the a blank file needs to be created before hand. You can just create a blank file using python if you want. I created a simple loop to, in some ways, mimic the essence of what you are trying to accomplish:

import pandas as pd
from openpyxl import load_workbook

d1 = pd.DataFrame({"A":['Bob','Joe', 'Mark'], 
               "B":['5', '10', '20']})
d2 = pd.DataFrame({"A":['Jeffrey','Ann', 'Sue'], 
                "B":['1', '2', '3']})

dfs = [d1,d2]

for i in range(len(dfs)):
    sheet = 'd'+str(i+1)
    data = dfs[i]
    writer = pd.ExcelWriter('atest.xlsx',engine='openpyxl', mode='a')
    writer.book = load_workbook('atest.xlsx') # here is the difference
    data.to_excel(writer,sheet_name=sheet)
    writer.save()
    writer.close()

or here is the modified first example:

d1 = pd.DataFrame({"A":['Bob','Joe', 'Mark'], 
               "B":['5', '10', '20']})
d2 = pd.DataFrame({"A":['Jeffrey','Ann', 'Sue'], 
                "B":['1', '2', '3']})

writer = pd.ExcelWriter('atest.xlsx', engine='openpyxl', mode='w')
d1.to_excel(writer,sheet_name='d1')
writer.save()
writer.close()

writer = pd.ExcelWriter('atest.xlsx', engine='openpyxl', mode='a')
writer.book = load_workbook('atest.xlsx')
d2.to_excel(writer,sheet_name='d2')
writer.save()
writer.close()