Writing multiple pandas dataframes to multiple excel worksheets

Question

I'd like for the code to run 12345 thru the loop, input it in a worksheet, then start on 54321 and do the same thing except input the dataframe into a new worksheet but in the same workbook. Below is my code.

workbook = xlsxwriter.Workbook('Renewals.xlsx')

groups = ['12345', '54321']

for x in groups:

    (Do a bunch of data manipulation and get pandas df called renewals)

    writer = pd.ExcelWriter('Renewals.xlsx', engine='xlsxwriter')
    worksheet = workbook.add_worksheet(str(x))
    renewals.to_excel(writer, sheet_name=str(x)) 

When this runs, I am left with a workbook with only 1 worksheet (54321).

Answer 1

try something like this:

import pandas as pd
#initialze the excel writer
writer = pd.ExcelWriter('MyFile.xlsx', engine='xlsxwriter')

#store your dataframes in a  dict, where the key is the sheet name you want
frames = {'sheetName_1': dataframe1, 'sheetName_2': dataframe2,
        'sheetName_3': dataframe3}

#now loop thru and put each on a specific sheet
for sheet, frame in  frames.iteritems(): # .use .items for python 3.X
    frame.to_excel(writer, sheet_name = sheet)

#critical last step
writer.save()

Answer 2

Building on the accepted answer, you can find situations where the sheet name will cause the save to fail if it has invalid characters or is too long. This could happen if you are using grouped values for the sheet name as an example. A helper function could address this and save you some pain.

def clean_sheet_name(sheet):
"""Clean sheet name so that it is a valid Excel sheet name.

Removes characters in []:*?/\ and limits to 30 characters.

Args:
    sheet (str): Name to use for sheet.
    
Returns:
    cleaned_sheet (str): Cleaned sheet name.
"""
if sheet in (None, ''):
    return sheet
clean_sheet = sheet.translate({ord(i): None for i in '[]:*?/\\'})
if len(clean_sheet) > 30: # Set value you feel is appropriate
    clean_sheet = clean_sheet[:30]
return clean_sheet

Then add a call to the helper function before writing to Excel.

for sheet, frame in groups.items():
    # Clean sheet name for length and invalid characters
    sheet = clean_sheet_name(sheet)
    frame.to_excel(writer, sheet_name = sheet, index=False)
writer.save()

Answer 3

import pandas as pd
writer = pd.ExcelWriter('Renewals.xlsx', engine='xlsxwriter')

renewals.to_excel(writer, sheet_name=groups[0])
renewals.to_excel(writer, sheet_name=groups[1])
writer.save()