Appending pandas dataframes generated in a for loop

Question

I am accessing a series of Excel files in a for loop. I then read the data in the excel file to a pandas dataframe. I cant figure out how to append these dataframes together to then save the dataframe (now containing the data from all the files) as a new Excel file.

Here's what I tried:

for infile in glob.glob("*.xlsx"):     data = pandas.read_excel(infile)     appended_data = pandas.DataFrame.append(data) # requires at least two arguments appended_data.to_excel("appended.xlsx") 

Thanks!

Answer 1

Use pd.concat to merge a list of DataFrame into a single big DataFrame.

appended_data = [] for infile in glob.glob("*.xlsx"):     data = pandas.read_excel(infile)     # store DataFrame in list     appended_data.append(data) # see pd.concat documentation for more info appended_data = pd.concat(appended_data) # write DataFrame to an excel sheet  appended_data.to_excel('appended.xlsx') 

Answer 2

you can try this.

data_you_need=pd.DataFrame() for infile in glob.glob("*.xlsx"):     data = pandas.read_excel(infile)     data_you_need=data_you_need.append(data,ignore_index=True) 

I hope it can help.