In this video, I demonstrate how to work with shapefiles using Python and GeoPandas. The workflow includes exploring attribute data, identifying unique values (such as TYPE), selecting specific features, and exporting them into a new shapefile.
This tutorial is demonstrated using a drainage dataset, where different feature types are analyzed and separated for further GIS processing.
Topics covered:
• Reading shapefile using GeoPandas
• Checking available columns
• Extracting unique values from TYPE field
• Filtering features based on attribute values
• Exporting selected features to a new shapefile
This workflow is useful for drainage mapping, road classification, and urban infrastructure analysis.
Tools used:
Python, GeoPandas, GIS data
If you're working on drainage or network analysis, this method helps you organize and clean your dataset efficiently.