"NumPy 평균 mean()"의 두 판 사이의 차이

2021년 3월 14일 (일) 16:45 기준 최신판

1차원

import numpy as np
a = np.array([1,2,3,1])
print( a.mean() )

import numpy as np
a = np.array([100,200,300,400])
print( a.mean() )

2차원

import numpy as np
a = np.array([[100,200],[300,400]])
print( a.mean() )

@@ 3번째 줄: / 3번째 줄: @@
 ;NumPy mean()
-<source lang='python'>
+{{소스헤더|1차원}}
+<syntaxhighlight lang='python' run>
 import numpy as np
+a = np.array([1,2,3,1])
+print( a.mean() )
+</syntaxhighlight>
-a = np.array([1,2,3,1])
+<syntaxhighlight lang='python' run>
+import numpy as np
+a = np.array([100,200,300,400])
+print( a.mean() )
+</syntaxhighlight>
+{{소스헤더|2차원}}
+<syntaxhighlight lang='python' run>
+import numpy as np
+a = np.array([[100,200],[300,400]])
 print( a.mean() )
-# 1.75
+</syntaxhighlight>
-</source>
 ==같이 보기==
+* [[NumPy min()]]
+* [[NumPy max()]]
 * [[NumPy median()]]
 * [[NumPy std()]]
 * [[산술평균]]
 * [[함수 mean()]]
+* [[데이터과학 치트시트]]
 [[분류: NumPy]]