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import numpy as np

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a = np.int32(2)

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%timeit np.mean(a)

2.74 μs ± 21.6 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)

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%timeit np.float64(a)

57.4 ns ± 1.06 ns per loop (mean ± std. dev. of 7 runs, 10,000,000 loops each)

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b = np.bool_(True)

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%timeit np.float64(b)

129 ns ± 2.15 ns per loop (mean ± std. dev. of 7 runs, 10,000,000 loops each)

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c = np.complex64(1 + 2j)

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np.mean(c)

np.complex64(1+2j)

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np.mean(np.complex128(-3 + 4j))

np.complex128(-3+4j)

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np.mean(-0.0)

np.float64(0.0)

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np.float64(-0.0)

np.float64(-0.0)

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np.mean(np.nan)

np.float64(nan)

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np.mean(-0.0888)

np.float64(-0.0888)

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np.mean(-0.0)

np.float64(0.0)

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np.mean(0.0)

np.float64(0.0)