Every array has a single data type, its dtype: int64, float64, bool, <U5 (strings)…
- Choose it at creation:
np.array([1, 2], dtype="float32") - Convert with
astype():arr.astype(int)
NumPy Data Types
dtype and type conversion.
✍️ 3 exercises + code challenge in this lessonKey Takeaways: NumPy Data Types
Mastering NumPy Data Types helps you write clean and reliable NumPy code. Follow standard conventions, test edge cases, and keep logic simple. Try running the code example below and complete the exercises to build confidence.
NumPy Data Types Code Example
NumPyimport numpy as np
a = np.array([1.7, 2.2, 3.9])
print(a.dtype)
b = a.astype(int)
print(b, b.dtype)
print(np.array([1, 0, 3]).astype(bool))Output
float64 [1 2 3] int64 [ True False True]
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NumPy Data Types Practice Exercises
Check what you learned in “NumPy Data Types”.
/ 3 solved
Fill in the blank
Convert the array to integers.
ints = arr.(int)
✓ Correct!
Not quite. Try again.
Multiple choice
Can one NumPy array hold mixed data types like a list?
✓ Correct!
Not quite. Try again.
Code challenge
Convert [1.9, 2.5, 3.1] to integers and print the result as a list with .tolist().
Write the code in the live editor. Your answer is checked automatically.
✓ Solved
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