NumPy - Array Data Types
Which numpy data type should you use to store complex numbers with single precision?
Which numpy data type should you use to store complex numbers with single precision?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Identify precision levels for complex types
numpy.complex64 stores complex numbers with single precision (32-bit real and imaginary parts).Step 2: Confirm other options
complex128 is double precision, float32 and int64 are not complex types.Final Answer:
numpy.complex64 -> Option AQuick Check:
Single precision complex = numpy.complex64 [OK]
Quick Trick: Use complex64 for single precision complex numbers [OK]
Common Mistakes:
- Choosing complex128 for single precision
- Using float types for complex data
- Confusing int64 with complex types
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