GeoPandas Basics: Maps, Projections, and Spatial Joins - Real Python

"Take the Quiz: Test your knowledge with our interactive "GeoPandas Basics: Maps, Projections, and Spatial Joins" quiz. You'll receive a score upon completion to help you track your learning progress: Getting Started With GeoPandas You'll first prepare your environment and load a small dataset that you'll use throughout the tutorial. In the next two subsections, you'll install the necessary packages and read in a sample dataset of New York City borough boundaries."

"Installing GeoPandas This tutorial uses two packages: geopandas for working with geographic data and geodatasets for loading sample data. It's a good idea to install these packages inside a virtual environment so your project stays isolated from the rest of your system and you can manage its dependencies cleanly. Once your virtual environment is active, you can install both packages with pip: Using the [all] option ensures you have everything needed for reading data, transforming coordinate systems, and creating plots."

Prepare a virtual environment and install geopandas and geodatasets to isolate project dependencies. Use pip install with the [all] option to include support for reading, transforming, and plotting geographic data. The read_file() function accepts local file paths or URLs and can read GeoJSON and shapefile formats. Use geodatasets to obtain the New York City Borough Boundaries (NYBB) dataset without manual download. Drop unnecessary columns after loading to simplify the GeoDataFrame. A GeoDataFrame stores rows and columns like a pandas DataFrame and includes a special geometry column. The geometry column is a GeoSeries that stores geographic shapes.

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