Summary  
This chapter demonstrates how to read and parse vector data formats—specifically Shapefile and GeoJSON—into data structures for spatial feature and attribute access.  

General domain of usage  
Geographic information systems (GIS) data processing

import unittest
import importlib
import geopandas as gpd


def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)


class TestUserCode(unittest.TestCase):
    @classmethod
    def setUpClass(cls):
        cls.m = importlib.import_module("user_code")

        # URLs to reference datasets
        cls.shp_url = (
            "https://content-media-cdn.codefinity.com/"
            "courses/6fe97724-da29-4079-ab74-75a30eeb43d3/data/world_countries.shp"
        )
        cls.geojson_url = (
            "https://content-media-cdn.codefinity.com/"
            "courses/6fe97724-da29-4079-ab74-75a30eeb43d3/data/world_countries.geojson"
        )

        cls.ref_shp = gpd.read_file(cls.shp_url)
        cls.ref_geojson = gpd.read_file(cls.geojson_url)

    def test_shp_count_exists(self):
        _dynamic_test(
            self,
            hasattr(self.m, "shp_count"),
            "`shp_count` variable exists",
            "Expected variable `shp_count` to be defined"
        )

    def test_geojson_count_exists(self):
        _dynamic_test(
            self,
            hasattr(self.m, "geojson_count"),
            "`geojson_count` variable exists",
            "Expected variable `geojson_count` to be defined"
        )

    def test_shapefile_count_correct(self):
        _dynamic_test(
            self,
            self.m.shp_count == len(self.ref_shp),
            "Shapefile feature count is correct",
            "Incorrect number of features in the Shapefile dataset"
        )

    def test_geojson_count_correct(self):
        _dynamic_test(
            self,
            self.m.geojson_count == len(self.ref_geojson),
            "GeoJSON feature count is correct",
            "Incorrect number of features in the GeoJSON dataset"
        )


if __name__ == "__main__":
    unittest.main()

test_code.py

An intermediate-level course introducing the core concepts, techniques, and practical skills for geospatial analysis using Python and key open-source libraries. Learn to work with vector and raster data, perform spatial operations, and visualize geographic information.

Explore the essential building blocks of geospatial data, including data types, geometries, GIS concepts, and reading common vector formats.

Learn to manipulate, analyze, and transform geospatial data using Python, including spatial joins, overlays, and distance calculations.

Visualize geospatial data, create thematic maps, and apply spatial analysis to real-world scenarios using Python.

Challenge: Reading Vector Data

Solution