Step 3: Combine all files in the list and export as CSV You can customize the selection for your needs having in mind that regex matching is used. The next code: data_*.csv match only files: This will be done by: all_files = glob.glob(os.path.join(path, 'data_*.csv')) Next step is to collect all files needed to be combined. Step 1: Import modules and set the working directoryįirst we will start with loading the required modules for the program and selecting working folder: import os, glob Short code example - concatenating all CSV files in Downloads folder: import pandas as pd Note: that we assume - all files have the same number of columns and identical information inside Notebook with all examples: Softhints Github repo Steps to merge multiple CSV(identical) files with Python Note: For JSON files check: How to Merge Multiple JSON Files Into Pandas DataFrame Finally with a few lines of code you will be able to combine hundreds of files with full control of loaded data - you can convert all the CSV files into a Pandas DataFrame and then mark each row from which CSV file is coming. There will be bonus - how to merge multiple CSV files with one liner for Linux and Windows.
In this guide, I'll show you several ways to merge/combine multiple CSV files into a single one by using Python (it'll work as well for text and other files).
