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How to Map Column Values in a Pandas DataFrame? - Gen. David L. - Medium
The article explains two pandas methods for mapping column values in DataFrames: map() for direct value replacement and factorize() for automatic numeric encoding. Both techniques are demonstrated wit
h practical examples focusing on common data cleaning scenarios like gender encoding and grade categorization.

Reasons to Read -- Learn:

  • how to efficiently convert categorical text data into numerical values for machine learning preprocessing, with specific examples using pandas map() function for gender encoding
  • how to handle columns with multiple unique values using pandas factorize() method, saving time compared to manual mapping
  • practical techniques for binarizing multi-category data, such as converting multiple grade levels into pass/fail categories using pandas operations
  • publisher: @tubelwj
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