"함수 median()"의 두 판 사이의 차이

2020년 11월 2일 (월) 02:33 기준 최신판

MEDIAN

1 Excel[ | ]

=MEDIAN(11, 1, 2, 12)
// 6.5
=MEDIAN(11, 1, 2)
// 2

2 Python[ | ]

def median(lst):
    lst_len = len(lst)
    lst = sorted(lst)
    if lst_len % 2 == 0:
        return (lst[lst_len/2-1]+lst[lst_len/2])/2.0
    return lst[lst_len/2]

print( median([11, 1, 2, 12]) )
# 6.5
print( median([11, 1, 2]) )
# 2

NumPy median() 문서를 참고하십시오.

NumPy

import numpy as np
a = np.array([1,2,3,1])
print( np.median(a) )
# 1.5

3 R[ | ]

R median() 문서를 참고하십시오.

x <- c(11, 1, 2, 12)
print( median(x) )
# 6.5

x <- c(11, 1, 2)
print( median(x) )
# 2

4 같이 보기[ | ]

@@ 1번째 줄: / 1번째 줄: @@
 [[category: Math]]
+;MEDIAN
+==Excel==
+[[category: Excel]]
+<syntaxhighlight lang='php'>
+=MEDIAN(11, 1, 2, 12)
+// 6.5
+=MEDIAN(11, 1, 2)
+// 2
+</syntaxhighlight>
 ==Python==
 [[category: Python]]
-<source lang='Python'>
+<syntaxhighlight lang='Python'>
 def median(lst):
      lst_len = len(lst)
@@ 11번째 줄: / 22번째 줄: @@
      return lst[lst_len/2]
-print median([11, 1, 2, 12])
+print( median([11, 1, 2, 12]) )
+# 6.5
+print( median([11, 1, 2]) )
+# 2
+</syntaxhighlight>
+{{참고|NumPy median()}}
+{{소스헤더|NumPy}}
+<syntaxhighlight lang='python'>
+import numpy as np
+a = np.array([1,2,3,1])
+print( np.median(a) )
+# 1.5
+</syntaxhighlight>
+==R==
+[[분류: R]]
+{{참고|R median()}}
+<syntaxhighlight lang='r'>
+x <- c(11, 1, 2, 12)
+print( median(x) )
 # 6.5
-print median([11, 1, 12])
+</syntaxhighlight>
-# 11
+<syntaxhighlight lang='r'>
-</source>
+x <- c(11, 1, 2)
+print( median(x) )
+# 2
+</syntaxhighlight>
 ==같이 보기==
-*[[average]]
+* [[함수 mean()]]
-*[[중앙값]]
+* [[함수 mode()]]
+* [[중앙값]]