How to merge multiple xlsx files into one single xlsx file with Different sheets

Question

Hi I have multiple xlsx files

sales-feb-2014.xlsx
sales-jan-2014.xlsx
sales-mar-2014.xlsx

I have merged all 3 sheets into one data set using file name as INDEX[0]

script :

    import pandas as pd
    import numpy as np
    import glob
    import os


    all_data = pd.DataFrame()
    for f in glob.glob(r'H:\Learning\files\sales*.xlsx'):
       df = pd.read_excel(f)
       df['filename'] = os.path.basename(f)
       df = df.reset_index().set_index('filename')
print(df)

Now Data looks like this :

   file name            col1   col2 col3 
    sales-jan-2014.xlsx  ....   .... ...

    sales-feb-2014.xlsx  ....   .... ...

    sales-mar-2014.xlsx  ....   .... ...

here I want to load new xlsx file where I need to load

sales-jan-2014.xlsx into sheet1 
sales-feb-2014.xlsx into sheet2  
sales-mar-2014.xlsx into sheet3

I have tried with this script :

 writer = pd.ExcelWriter('output.xlsx')
for filename in df.index.get_level_values(0).unique():
    temp_df = df.xs(filename, level=0)
    temp_df.to_excel(writer,filename)
writer.save()

after executing this script i'm getting error :

loc, new_ax = labels.get_loc_level(key, level=level, AttributeError: 'Index' object has no attribute 'get_loc_level'

can you please suggest where I'm missing

Answer 1

Try using the below code :

import os
import pandas as pd
dirpath = "C:\\Users\\Path\\TO\\Your XLS folder\\data\\"
fileNames = os.listdir(dirpath)

writer = pd.ExcelWriter(dirpath+'combined.xlsx', engine='xlsxwriter')
for fname in fileNames:
    df = pd.read_excel(dirpath+fname)
    print(df)
    df.to_excel(writer, sheet_name=fname)    
writer.save()

You can also use your code by make below changes :

    for f in glob.glob(r'H:\Learning\files\sales*.xlsx'):
       df = pd.read_excel(f)
       df['filename'] = os.path.basename(f)
       df = df.reset_index()
       print(df.columns)
       df.set_index(['filename','index'], inplace=True)

and saving it as you have done.

I hope this helps