numpy上で平均を求める v.s. Pandasで平均を求める

計算の待ち時間が長く感じることが増えたので調べる

結論は、numpyのみで計算した方が早い。

以下で確認した。

Python 3.5.1+ (default, Mar 30 2016, 22:46:26) 

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IPython 2.4.1 -- An enhanced Interactive Python.

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In [1]: %cpaste

Pasting code; enter '--' alone on the line to stop or use Ctrl-D.

:import numpy as np

:import time

:

:start = time.time()

:dt = np.array([0 for i in range(100)], dtype=float)

:for i in range(100):

:    dt += dt

:dt = dt/100

:elapsed_time = time.time() - start

:print(elapsed_time)

:

:import pandas as pd

:start = time.time()

:dt = np.array([0 for i in range(100)], dtype=float)

:dt_list = [dt for i in range(100)]

:pd.DataFrame(dt_list).mean()

:elapsed_time = time.time() - start

:print(elapsed_time)

:<EOF>

0.00039386749267578125

0.00755763053894043