'Appending pandas dataframes generated in a for loop

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!

python pandas

Solution 1:^[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')

Solution 2:^[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.

Solution 3:^[3]

DataFrame.append() and Series.append() have been deprecated and will be removed in a future version. Use pandas.concat() instead (GH35407).

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This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.

Source: Stack Overflow

Solution	Source
Solution 1	Lauren Fitch
Solution 2	ye jiawei
Solution 3	BO-CHRISTOPHER REDFEARN

'Appending pandas dataframes generated in a for loop

Solution 1:[1]

Solution 2:[2]

Solution 3:[3]

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