[Solved] What is the dtype of the result when you run this code?import numpy as np arr1 = np.array([1, 2, 3], dtype=np.int32) arr2 = np.array([1.5, 2.5, 3.5], dtype=np.... | NumPy

NumPy - Array Operations

What is the dtype of the result when you run this code?

import numpy as np
arr1 = np.array([1, 2, 3], dtype=np.int32)
arr2 = np.array([1.5, 2.5, 3.5], dtype=np.float64)
result = arr1 + arr2
dtype_result = result.dtype

Aint32

Bobject

Cfloat32

Dfloat64

Step-by-Step Solution

Solution:

Step 1: Identify input array dtypes
arr1 is int32, arr2 is float64.
Step 2: Understand type promotion rules
When adding int32 and float64, NumPy promotes to float64 to preserve precision.
Final Answer:
float64 -> Option D
Quick Check:
int32 + float64 = float64 [OK]

Quick Trick: Higher precision float wins in mixed int-float ops [OK]

Common Mistakes:

Assuming result is int32
Confusing float32 with float64
Expecting object dtype for numeric arrays

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More NumPy Quizzes

What is the dtype of the result when you run this code?

Step 1: Identify input array dtypes

Step 2: Understand type promotion rules

Final Answer:

Quick Check:

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