Python uses Fuzzywuzzy to remove excess spaces, handle capitalization, remove special characters, and more

Environmental construction and preparation work: 1. Ensure that the Python environment is installed, and it is recommended to use Python version 3. x. 2. Install the Fuzzywuzzy library using the following command: ` pip install fuzzywuzzy` 3. Import dependent class libraries, including the fuzzywuzzy module and its sub module 'fuzzy'. 4. Collect samples of data to be processed. Dependent class libraries: -Fuzzywuzzy: Main module, including methods for fuzzy matching. -Fuzzy: A submodule of fuzzywuzzy that contains various string processing methods. Data sample: data = [" apple", "oRanGe ", "PEAR!"] The complete sample code for implementation is as follows: python from fuzzywuzzy import fuzz data = [" apple", "oRanGe ", "PEAR!"] #Remove excess spaces and handle capitalization data_cleaned = [fuzz.clean(s).lower() for s in data] #Remove special characters data_cleaned = [fuzz.process(s, processor=lambda x: ''.join(e for e in x if e.isalnum())) for s in data_cleaned] print(data_cleaned) Output results: ['apple', 'orange', 'pear'] Summary: Using the 'fuzzy. clean()' method of Fuzzywuzzy can remove excess spaces and handle capitalization, while using the 'fuzzy. process()' method can remove special characters. These two methods can help us preprocess during string matching to ensure the accuracy and consistency of the data.