Finding shortest paths in python using osmnx

**tutorial: finding shortest paths in python using osmnx**

osmnx is a python library that lets you download spatial data from openstreetmap and analyze it. one common use case of osmnx is finding the shortest path between two points on a street network. in this tutorial, we will guide you through the process of finding the shortest path using osmnx in python.

**step 1: install osmnx**

make sure you have osmnx installed. you can install it using pip:

**step 2: import required libraries**

you need to import osmnx and networkx libraries for finding the shortest path. networkx is a powerful library for working with complex networks.

**step 3: download street network data**

you can download the street network data using osmnx. you need to specify the location (either by address or coordinates) and the network type (e.g., 'drive', 'walk', 'bike').

**step 4: find shortest path**

now, you can specify the source and target nodes (points) on the street network and find the shortest path using networkx's built-in shortest path algorithm.

**step 5: visualize the shortest path**

optionally, you can visualize the shortest path on a map using osmnx's plotting functionalities.

that's it! you have successfully found the shortest path between two points on a street network using osmnx in python. feel free to explore more features and functionalities of osmnx for advanced analysis of spatial data.

i hope this tutorial was helpful! let me know if you have any other questions.

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