Pandas: A Comprehensive Guide to Combining Multiple Categories into One Using Python, NumPy, and DataFrames
Are you trying to assign different categories to different values in your pandas DataFrame? For instance, you might have categories ranging from 1 to 10, and you wish to map ‘red’ to values 3 to 5, ‘green’ to 1,6, and 7, and ‘blue’ to 2, 8, 9, and 10. It might seem challenging initially, especially…