在for循环中生成的追加 pandas 数据帧 [英] Appending pandas dataframes generated in a for loop

问题描述

我正在for循环中访问一系列Excel文件.然后，我将excel文件中的数据读取到pandas数据框.我无法弄清楚如何将这些数据框附加在一起，然后将数据框(现在包含所有文件中的数据)另存为新的Excel文件.

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.

这是我尝试过的:

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")

谢谢！

推荐答案

使用

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')

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