Python uses Fuzzywuzzy geographic location matching to convert addresses into geographic coordinates for matching, or to convert geographic coordinates into addresses for matching

Preparation work: 1. Install Python: Ensure that the Python environment has been installed and configured. 2. Install the Fuzzywuzzy library: You can use the pip command to install the Fuzzywuzzy library: 'pip install fuzzywuzzy'. 3. Obtaining geographical location data: You can use open geographical location APIs (such as Gaode Map API, Baidu Maps API, etc.) to obtain geographical location data, or prepare a geographical location dataset by yourself. Dependent class libraries: -Fuzzywuzzy: Provides fuzzy matching functionality. -Difflib: Provides string matching functionality. Data sample: Assuming the following geographic location data table (sample data is for reference only): |Address | Longitude | Latitude| |--- | --- | ---| |Dongcheng District, Beijing | 116.41667 | 39.91667| |Xicheng District, Beijing | 116.36667 | 39.91667| |Chaoyang District, Beijing | 116.47667 | 39.92667| |Haidian District, Beijing | 116.3122 | 39.9876| Complete sample code: python from fuzzywuzzy import fuzz, process import difflib def coordinate_match(address, coordinates, method='fuzzy'): If method=='fuzzy ': # Use Fuzzywuzzy fuzzy matching best_match = process.extractOne(address, coordinates.keys()) return coordinates[best_match[0]] Elif method=='exact ': # Use difflib for precise matching best_match = difflib.get_close_matches(address, coordinates.keys(), n=1) return coordinates[best_match[0]] if best_match else None else: return None #Example of Geographic Location Data coordinates = { Dongcheng District, Beijing: (116.41667, 39.91667), 'Xicheng District of Beijing': (116.36667, 39.91667), Chaoyang District, Beijing: (116.47667, 39.92667), Haidian District, Beijing: (116.3122, 39.9876) } #Using Fuzzy Matching Address='Chaoyang District, Beijing' matched_coordinates = coordinate_match(address, coordinates, method='fuzzy') Print (f "Fuzzywuzzy Fuzzy Matching Result: {matched_coordates}") #Use precise matching Address='Chaoyang District, Beijing' matched_coordinates = coordinate_match(address, coordinates, method='exact') Print (f "difflib exact match result: {matched coordinates}") Summary: This article introduces how to use Python's Fuzzywuzzy library for geographic location matching. By configuring the Python environment, installing the dependency library Fuzzywuzzy, and preparing geographic location data, you can flexibly use the fuzzy matching functions in the Fuzzywuzzy library to achieve geographic location conversion and matching. This article provides a complete sample code to help readers quickly understand and use the library.