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How to merge TSV files in Python
Here are three effective ways to merge multiple TSV files in Python using different libraries. Each approach has its own advantages depending on your specific needs and file sizes.
Merging TSV 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:
Now we can load your tsv files into dataframes:
Let's load your first file:
And your second file:
Great! Now we can merge the dataframes using the concat function:
Finally, let's save your newly merged data to a file:
Need to merge more than two files? No problem! Just add them to the list in the concat function:
Merging TSV files with DuckDB
DuckDB is an in-process SQL OLAP database that's perfect for larger files and analytical workloads:
Let's start by installing DuckDB for Python:
Now we'll import the library and create a connection:
Here's a simple DuckDB query that will merge your tsv files using UNION ALL:
Just run this query to perform the merge:
Got more than two files? Simply add more UNION ALL statements like this:
What's great about DuckDB is that it's incredibly efficient for large files - it processes data in a columnar format and can handle files that don't fit in memory. Perfect for those bigger merging jobs!
Merging TSV files with ClickHouse
ClickHouse is a high-performance column-oriented database system that's excellent for large-scale data processing:
Let's begin by installing the ClickHouse Connect library for Python:
Now we'll import the library and create a client connection:
Here's how you can merge your files using a single UNION ALL query:
Then export your merged data to a file:
Need to merge more than two files? Just add more UNION ALL statements like this:
Want to skip the intermediate table? You can merge directly to a file in one step:
ClickHouse really shines when you're working with massive datasets - it's a powerful columnar database that processes large volumes of data lightning fast, making it perfect for merging even the largest files.