Computer Science · Python Programming
In Python's pandas for handling financial transaction data, why does the .loc[] accessor conceptually prefer label-based indexing over positional for selecting rows and columns?
- 1It enables intuitive slicing using column names and index labels, enhancing readability✓
- 2It requires explicit dtype conversion
- 3It automatically sorts selected data ascending
- 4It limits selections to single rows only
Correct answer
It enables intuitive slicing using column names and index labels, enhancing readability
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