Here is the continuation and completion of your provided code snippets:
python1 4 5 pending unknown -1 2 3================================================== 4After replacement: 5 customer_id status region rating 60 1 Active North 5.0 71 2 Active South 4.0 82 3 Active None <NA> 93 4 Inactive West 3.0 104 5 pending None <NA> 11 12================================================== 13Multiple replacements: 14Before: 15 product price 160 iPhone 999 171 iphone 999 182 IPHONE 999 193 Galaxy 899 204 galaxy 899 21 22After: 23 product price 240 iPhone 999 251 iPhone 999 262 iPhone 999 273 Galaxy 899 284 Galaxy 899
Explanation and Additional Notes:
Standardizing Status Values
- The
statuscolumn had inconsistent capitalization. We used a dictionary to map all variations of 'active' to the standardized form 'Active'.
Handling Invalid Region Entries
- For the
regioncolumn, we replaced entries like 'N/A' and 'unknown' withNone, indicating missing or invalid data.
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