Python API General information Dependencies Installation Building as part of the GDAL library source tree Usage Numpy Tutorials Gotchas Examples Examples Getting information on a …

Sep 21, 2011 · This Python package and extensions are a number of tools for programming and manipulating the GDAL Geospatial Data Abstraction Library. Generally speaking the classes …

Welcome to GDAL Made Simple — your go-to guide for installing GDAL (Geospatial Data Abstraction Library) with Python across Windows 🪟, Linux 🐧, and macOS 🍏.

Apr 9, 2025 · Python, with its simplicity and vast ecosystem of libraries, provides an excellent platform to interact with GDAL/OGR. This blog will explore the fundamental concepts, usage …

Nov 16, 2025 · Whether you're building web applications, data pipelines, CLI tools, or automation scripts, gdal offers the reliability and features you need with Python's simplicity and elegance.

By leveraging the GDAL Python API, developers can easily manipulate geospatial datasets, perform various geoprocessing tasks, and create custom geospatial applications.

For a detailed description of the whole Python GDAL/OGR API, see the useful API docs. We heavily relied on Chris Garrard’s excellent Geoprocessing with Python using Open Source GIS …

Nov 26, 2025 · This page documents the Python bindings for GDAL, explaining how to use GDAL functionality from Python applications. The Python bindings provide access to most of GDAL's …

The following snippet uses the osgeo.gdal.Dataset.ReadAsArray() method to retrieve the pixel values of all the bands of a dataset as a numpy array. A 2D array is returned for a single band …

GDAL Geospatial Data Abstraction Library is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source …