TabLab

Merge CSV files online

Merge multiple CSV files into a single file. Combine data from different sources quickly and easily.

Format

Files

Click anywhere to select filesor drag and drop files here
Accepts CSV files (.csv)

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CSV Merge Features

Multiple File Merging
Combine any number of files into a single consolidated file
Lightning-Fast Performance
Merge even large files instantly with optimized processing
Streamlined File Merging
Efficiently combine multiple files into a unified dataset
SQL-Powered Merging
Use SQL queries for advanced merging with custom join conditions
AI-Powered Assistance
Describe your merging needs in plain English for complex scenarios
Export Merged Data
Save your combined results in various formats

How to merge CSV files

  1. Upload two or more CSV files using the upload button
  2. Files will be appended in the order they were uploaded
  3. Preview the merged result
  4. Download the combined CSV file

How to merge CSV files in python

Here are three effective ways to merge multiple CSV files in Python using different libraries. Each approach has its own advantages depending on your specific needs and file sizes.

Merging CSV files with pandas

Pandas provides a straightforward approach for merging files and works well for most common data tasks:

First, let's install pandas if you haven't already:

bash
pip install pandas

Now we can load your CSV files into dataframes:

python
import pandas as pd

Let's load your first file:

python
df1 = pd.read_csv('path/to/file1.csv')

And your second file:

python
df2 = pd.read_csv('path/to/file2.csv')

Great! Now we can merge the dataframes using the concat function:

python
merged_df = pd.concat([df1, df2], ignore_index=True)

Finally, let's save your newly merged data to a file:

python
merged_df.to_csv('path/to/merged_file.csv', index=False)
by @scottpaulin