๐Ÿ Python & library/numpy

[numpy] ๋‚˜๋งŒ ๋ชฐ๋ž๋˜ ์œ ์šฉํ•œ ํ•จ์ˆ˜ ๋ชจ์Œ

๋ณต๋งŒ 2021. 12. 13. 14:58

์„ธ์ƒ์— ์ด๋Ÿฐ ํŽธ๋ฆฌํ•œ ํ•จ์ˆ˜๋„ ์žˆ์—ˆ๋‹ค๋‹ˆ.. ํ•˜๋Š” ํ•จ์ˆ˜๋“ค ๋ชจ์Œ ๐Ÿ™Š (๋ชจ์œผ๋Š” ์ค‘)

 

1. numpy.rint(a)

array์˜ ๊ฐ ์›์†Œ๋ฅผ ๋ฐ˜์˜ฌ๋ฆผํ•œ๋‹ค.

a = np.array([-1.1, -2.7, 3.0, 4.3, 5.5, 6.5])
print(np.rint(a))

>> [-1. -3.  3.  4.  6.  6.]

 

2. numpy.around(a, decimals=0)

array์˜ ๊ฐ ์›์†Œ๋ฅผ ์ฃผ์–ด์ง„ ์†Œ์ˆ˜์  ์œ„์น˜(decimals)์—์„œ ๋ฐ˜์˜ฌ๋ฆผํ•œ๋‹ค.

a = np.array([1.2345, 2.3456, 3.4567, -4.5678])
print(np.around(a, 2))

>> [ 1.23  2.35  3.46 -4.57]

 

3. numpy.clip(a, a_min, a_max)

array์˜ ๊ฐ ์›์†Œ๋ฅผ ์ฃผ์–ด์ง„ ๋ฒ”์œ„๋กœ clipํ•œ๋‹ค. a_min๊ฐ’๋ณด๋‹ค ์ž‘์€ ๊ฐ’์€ ๋ชจ๋‘ a_min๊ฐ’์œผ๋กœ, a_max๊ฐ’๋ณด๋‹ค ํฐ ๊ฐ’์€ ๋ชจ๋‘ a_max๊ฐ’์œผ๋กœ ๋ฐ”๊พผ๋‹ค.

a = np.array([1, 2, 3, 4, 5, 6])
print(np.clip(a, 3, 5))

>> [3 3 3 4 5 5]
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