Sometimes the CSV files will differ for some columns or they might be the same only in the wrong order to be wrong. Combine multiple CSV files when the columns are different In this example we iterate over all selected files, then we extract the files names and create a column which contains this name. Merged_df = pd.concat(all_df, ignore_index=True, sort=True) This can be achieved very easy by small change of the code above: import os, globĪll_files = glob.glob(os.path.join(path, "*.csv")) Now let's say that you want to merge multiple CSV files into a single DataFrame but also to have a column which represents from which file the row is coming. Steps to merge multiple CSV(identical) files with Python with trace import os, globĪll_files = glob.glob(os.path.join(path, "data_*.csv"))ĭf_from_each_file = (pd.read_csv(f, sep=',') for f in all_files) You can find more about converting DataFrame to CSV file here: _csv Full Codeīelow you can find the full code which can be used for merging multiple CSV files. Note that you may change the separator by: sep=',' or change the headers and rows which to be loaded The final step is to load all selected files into a single DataFrame and converted it back to csv if needed: df_merged = (pd.read_csv(f, sep=',') for f in all_files)ĭf_merged = pd.concat(df_from_each_file, ignore_index=True) 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).
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