[英]To cast a numpy array from bool to int, should I multiply by one or use astype(int)?
bool_array * 1
and bool_array.astype(int)
appear to do the same thing. bool_array * 1
和bool_array.astype(int)
似乎做同样的事情。 Which is more efficient?哪个更有效率?
bool_array.astype(int)
is faster ( Colab notebook ): bool_array.astype(int)
更快( Colab 笔记本):
import numpy as np
bool_array = np.random.choice([0, 1], size=1_000_000).astype(bool)
%timeit int_array = bool_array * 1
1000 loops, best of 5: 1.5 ms per loop 1000 次循环,5 次中的最佳:每个循环 1.5 毫秒
%timeit int_array = bool_array.astype("int")
1000 loops, best of 5: 973 µs per loop 1000 个循环,5 个循环中的最佳:每个循环 973 µs
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