What are the differences between structured arrays and record arrays in NumPy?
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What are the differences between structured arrays and record arrays in NumPy?
Structured arrays allow you to define a data type with named fields, while record arrays provide access to fields as attributes.
Can you give me an example of how to create a structured array?
Sure! You can create a structured array using numpy.array with a defined dtype. For example: np.array([(1, 'Alice'), (2, 'Bob')], dtype=[('id', 'i4'), ('name', 'U10')]).
What about record arrays? How do they differ in usage?
Record arrays are similar but allow you to access fields as attributes. You can create one using np.record or by converting a structured array.
Which one should I use for my project?
It depends on your needs. Use structured arrays for performance and memory efficiency, and record arrays for easier field access.
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