Fastest way to calculate exponential [exp()] function of large complex array in Python

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Chapters
00:00 Fastest Way To Calculate Exponential [Exp()] Function Of Large Complex Array In Python
00:58 Accepted Answer Score 4
01:20 Thank you

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Full question
https://stackoverflow.com/questions/4652...

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Tags
#python #numpy #optimization #ode #numba

#avk47

ACCEPTED ANSWER

Score 4

We could leverage numexpr module, which works really efficiently on large data involving transcendental operations -

In [91]: arr = np.random.rand(2**14) + 1j *np.random.rand(2**14)
    ...: float_value = 0.5
    ...: 

In [92]: %timeit np.exp(float_value * arr)
1000 loops, best of 3: 739 µs per loop

In [94]: import numexpr as ne

In [95]: %timeit ne.evaluate('exp(float_value*arr)')
1000 loops, best of 3: 241 µs per loop

This seems to be coherent with the expected performance as stated in the docs.