CODEWITHSUNDEEP
pythonexcelpandasxlsxwriter
enter_display_name_here
enter_display_name_here

Reputation: 708

Appending Pandas DataFrame to existing Excel document

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?

Upvotes: 9

Views: 41726

Answers (4)

Rodney Souza
Rodney Souza

Reputation: 21

This worked for me, it creates a file if the file does not exists, and append to the end of the file if it already exists

you may need to install openpyxl

import pandas as pd
from openpyxl import load_workbook

def append_xlsx(df, file = 'results.xlsx'):
    ext = '.xlsx'
    if ext not in file:
        file+=ext
    
    if os.path.exists(file):
        mode="a"
        if_sheet_exists="overlay"
        header = False

        wb = load_workbook(file)
        sheet = wb.worksheets[0]
        startrow = sheet.max_row
    else:
        mode='w'
        if_sheet_exists = None
        header = True
        startrow = 0

    with pd.ExcelWriter(
        file,
        mode=mode,
        engine="openpyxl",
        if_sheet_exists=if_sheet_exists,
    ) as writer:

        df.to_excel(
            writer, 
            sheet_name="Sheet1",
            startrow=startrow,
            header=header,
            index=False,
            encoding='utf8'
        )

Upvotes: 2

Adam Safier
Adam Safier

Reputation: 36

import pandas as pd

writer = pd.ExcelWriter(wk_path + save_file)
# ....
# build sc_files DataFrame and save. sc_files includes
# a column called OS.

sc_file.to_excel(writer, sheet_name='test')

# build data frame of OS counts out of sc_file
counts_os = sc_file.OS.value_counts() 

# To append to 'test' sheet, use startcol=x1, startrow=y
# To append counts_OS to the end of the current 'test' sheet
y = len(sc_file)
y += 1
counts_os.to_excel(writer, sheet_name='test', 
    startcol=1, startrow=y)

# write counts_os to sheet test2 
counts_os.to_excel(writer, sheet_name='test2')
writer.save()
writer.close()

Upvotes: 1

enter_display_name_here
enter_display_name_here

Reputation: 708

I submitted a post on GitHub and received a response from the contributors (see the highlighted portion below). It turns out that this functionality won't be released until 0.24 so it is not available in 0.23.1. FYI - I downloaded the RC and successfully tried out the mode='a'option. However, there may be a bug with workbooks that do not exist; I receive FileNotFoundError: [Errno 2] No such file or directory: 'test.xlsx'.

"this feature is being released as part of 0.24 which we just issued a release candidate for over the past few days. You can try on the RC or here on master and if neither works open an issue per the contributing guide, but this wouldn't be expected to work on versions older than that"

Upvotes: 0

It_is_Chris
It_is_Chris

Reputation: 14113

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()

Upvotes: 11

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