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๊ด€๋ฆฌ ๋ฉ”๋‰ด

Data Science LAB

[Python] ํ”„๋กœ๊ทธ๋ž˜๋จธ์Šค ์ฝ”๋”ฉํ…Œ์ŠคํŠธ ์—ฐ์Šต level2 (ํ–‰๋ ฌ์˜ ๊ณฑ์…ˆ) ๋ณธ๋ฌธ

๐Ÿ“ Coding Test/Programmers

[Python] ํ”„๋กœ๊ทธ๋ž˜๋จธ์Šค ์ฝ”๋”ฉํ…Œ์ŠคํŠธ ์—ฐ์Šต level2 (ํ–‰๋ ฌ์˜ ๊ณฑ์…ˆ)

ใ…… ใ…œ ใ…” ใ…‡ 2022. 12. 24. 18:48
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1. ๋ฌธ์ œ ์„ค๋ช…

2์ฐจ์› ํ–‰๋ ฌ arr1๊ณผ arr2๋ฅผ ์ž…๋ ฅ๋ฐ›์•„, arr1์— arr2๋ฅผ ๊ณฑํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ˜ํ™˜ํ•˜๋Š” ํ•จ์ˆ˜, solution์„ ์™„์„ฑํ•ด์ฃผ์„ธ์š”.

 

 

 

 

 

2. ์ œํ•œ ์‚ฌํ•ญ

  • ํ–‰๋ ฌ arr1, arr2์˜ ํ–‰๊ณผ ์—ด์˜ ๊ธธ์ด๋Š” 2 ์ด์ƒ 100 ์ดํ•˜์ž…๋‹ˆ๋‹ค.
  • ํ–‰๋ ฌ arr1, arr2์˜ ์›์†Œ๋Š” -10 ์ด์ƒ 20 ์ดํ•˜์ธ ์ž์—ฐ์ˆ˜์ž…๋‹ˆ๋‹ค.
  • ๊ณฑํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฐ์—ด๋งŒ ์ฃผ์–ด์ง‘๋‹ˆ๋‹ค.

 

 

 

 

 

 

3. ๋‚ด ํ’€์ด

import numpy as np
def solution(arr1, arr2):
    answer = []
    arr2_t = np.array(arr2).T
    arr2_t = [[int(i) for i in x] for x in arr2_t]
    
    for i in range(len(arr1)):
        a = []
        for j in range(len(arr2_t)):
            a.append(sum([x*y for x,y in zip(arr1[i],arr2_t[j])]))
        answer.append(a)    
    return answer

 

1. arr2 ์ „์น˜ํ–‰๋ ฌ๋กœ ๋ฐ”๊ฟ”์คŒ

2. np.array๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ณ€ํ™˜ํ–ˆ๊ธฐ ๋•Œ๋ฌธ์— ์ •์ˆ˜๋กœ ๋ฐ”๋€Œ์ง€ ์•Š์•„ ๋ฆฌ์ŠคํŠธ ์ปดํ”„๋ฆฌํ—จ์…˜์„ ์‚ฌ์šฉํ•ด์„œ ์ˆซ์ž๋ฅผ ์ •์ˆ˜๋กœ ๋ฐ”๊ฟ”์คŒ

3. arr1์˜ i ๋ฒˆ์งธ ์›์†Œ์™€ arr2๋ฅผ ์ „์น˜์‹œํ‚จ ๋ฆฌ์ŠคํŠธ๋ฅผ ๊ณฑํ•ด์คŒ

 

 

 

 

 

4. ๋‹ค๋ฅธ ์‚ฌ๋žŒ ํ’€์ด

def productMatrix(A, B):
    return [[sum(a*b for a, b in zip(A_row,B_col)) for B_col in zip(*B)] for A_row in A]
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