python - numpy sort top bottom -

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i trying pull top 5%, bottom 5% , remaining out separate arrays , save average. code below.

    tg = 48000000 element float array     tg.sort()     pct = int(tg.size*0.05)     high5 = tg[-pct:].mean()     low5 = tg[:pct].mean()     mid90 = tg[pct:-pct].mean()

i'd appreciate suggestions on how speed up.

actually don't need sort array. use partition method:

tg = 48000000 element float array     pct = int(tg.size*0.05)  tg.partition([pct, tg.size - pct])   mean_low5 = tg[:pct].mean() mean_high5 = tg[-pct:].mean() mean_mid90 = tg[pct:-pct].mean()

(code updated according jaime' comment)


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