#Pandas is used as a dataframe to handle Excel files
import pandas as pd
import os
# change the slash from “” to “/”, if you are using Windows devices
input_file_path = "C:/Users/gaurav/OneDrive/Desktop/Excel files/"
output_file_path = "C:/Users/gaurav/OneDrive/Desktop/"
#create a list to store all the file references of the input folder using the listdir function from the os library.
#To see the contents of a library (like the listdir function, you can use the dir function on the library name).
#Use dir(library_name) to list contents
excel_file_list = os.listdir(input_file_path)
#print all the files stored in the folder, after defining the list
excel_file_list
#Once each file opens, use the append function to start consolidating the data stored in multiple files
#create a new, blank dataframe, to handle the excel file imports
df = pd.DataFrame()
#Run a for loop to loop through each file in the list
for excel_files in excel_file_list:
#check for .xlsx suffix files only
if excel_files.endswith(".xlsx"):
#create a new dataframe to read/open each Excel file from the list of files created above
df1 = pd.read_excel(input_file_path+excel_files)