Answered by : glamorous-gharial-g565ese6inxo

path = r'C:\DRO\DCL_rawdata_files' # use your path
all_files = glob.glob(path + "/*.csv")
li = []
for filename in all_files: df = pd.read_csv(filename, index_col=None, header=0) li.append(df)
frame = pd.concat(li, axis=0, ignore_index=True)

Source : https://stackoverflow.com/questions/20906474/import-multiple-csv-files-into-pandas-and-concatenate-into-one-dataframe | Last Update : Thu, 12 Aug 21

Answered by : tender-termite-oeou19z28zu2

merged_data = reduce(lambda left,right: pd.merge(left,right,on=['column name'],how='outer'), (pd.read_csv(data_file) for data_file in data_files))
merged_data

Source : https://stackoverflow.com/questions/44327999/python-pandas-merge-multiple-dataframes | Last Update : Tue, 12 Jul 22

Answered by : edim-zdralovic

copy *.csv all-csv-files.csv

Source : https://acho.io/blogs/how-to-combine-multiple-csv-files-into-one-file | Last Update : Wed, 19 Oct 22