Last modified: Apr 03, 2025 By Alexander Williams

How to Install PyArrow in Python Step by Step

PyArrow is a powerful library for working with large datasets. It provides fast data processing and interoperability. This guide will help you install PyArrow in Python.

Prerequisites for Installing PyArrow

Before installing PyArrow, ensure you have Python installed. You can check this by running python --version in your terminal.


python --version

If Python is not installed, download it from the official website. Also, ensure you have pip, Python's package manager.

Install PyArrow Using pip

The easiest way to install PyArrow is using pip. Open your terminal or command prompt and run the following command.


pip install pyarrow

This will download and install the latest version of PyArrow. Wait for the installation to complete.

Verify PyArrow Installation

After installation, verify PyArrow is installed correctly. Open a Python shell and import PyArrow.


import pyarrow
print(pyarrow.__version__)

If PyArrow is installed, it will print the version number. If not, you may encounter a ModuleNotFoundError.

Fix Common Installation Issues

If you see ModuleNotFoundError: No module named 'pyarrow', PyArrow is not installed. Check our guide on how to solve ModuleNotFoundError.

Ensure pip is up to date by running pip install --upgrade pip. Then, try installing PyArrow again.

Install Specific PyArrow Version

Sometimes, you may need a specific PyArrow version. Use the following command to install a particular version.


pip install pyarrow==10.0.0

Replace 10.0.0 with your desired version. Check PyArrow's official docs for version details.

Use PyArrow in Your Project

Once installed, you can use PyArrow in your Python projects. Here’s a simple example to create a PyArrow table.


import pyarrow as pa

data = [
    pa.array([1, 2, 3]),
    pa.array(['a', 'b', 'c'])
]
table = pa.Table.from_arrays(data, names=['col1', 'col2'])
print(table)

This code creates a simple table with two columns. PyArrow makes handling large datasets efficient.

Conclusion

Installing PyArrow in Python is simple with pip. Verify the installation and fix any issues using the steps above. PyArrow is a great tool for data processing.

For more help, check the ModuleNotFoundError guide. Happy coding!