How do I use Pandas for reading multiple xlsx files and outputting into one in individual file in multiple sheets? [closed]

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Closed last year.

The .xlsx files are all found in one directory. There is only .xlsx file in this directory. I need to take each of the individual .xlsx files and insert it into a single sheet.

The example looks like this:

1. Directory has 4 .xlsx files
2. Read all 4 .xlsx files
3. Put all 4 .xlsx files into one single file
4. Each file should represent one sheet.

The final result should be one Excel file with 4 sheets.

Answer 1

The process for doing this is:

0. Setup

Install required packages:

pip install pandas
pip install xlsxwriter

Then import pandas into the Python file you're working in:

import pandas as pd

1. Read in the .xlsx files

a. Each by name:

df1 = pd.read_excel('./excelfile1.xlsx')

etc

b. Read all in current directory in:

import os, re
dfs = []
for fname in os.listdir():
    if re.search(r'\.xlsx$', fname):
        dfs.append(pd.read_excel(fname))

2. Create a new file and add existing files as sheets

writer = pd.ExcelWriter('./newfilename.xlsx', engine='xlsxwriter')
sheet_names = ['sheet1', ...]
for df, sheet_name in zip(dfs, sheet_names):
    df.to_excel(writer, sheet_name=sheet_name)
writer.save()

This will create a new Excel file in the current directory called newfilename.xlsx with each of your existing Excel files as sheets.