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Data & AI Intelligence/▶Preprocessing & EDA

5. numpy 기본 통계

by 류딩이 2024. 6. 3.

최댓값 최소값

import numpy as np

array1 = np.array([14, 6, 13, 21, 23, 31, 9, 5])

print(array1.max()) # 최댓값
print(array1.min()) # 최솟값
31
5

 

평균값

import numpy as np

array1 = np.array([14, 6, 13, 21, 23, 31, 9, 5])

print(array1.mean()) # 평균값
15.25

 

 

중앙값

import numpy as np

array1 = np.array([8, 12, 9, 15, 16])
array2 = np.array([14, 6, 13, 21, 23, 31, 9, 5])

print(np.median(array1)) # 중앙값
print(np.median(array2)) # 중앙값
12.0
13.5

 

표준편차 분산

import numpy as np

array1 = np.array([14, 6, 13, 21, 23, 31, 9, 5])

print(array1.std()) # 표준 편차
print(array1.var()) # 분산
8.496322733983215
72.1875