"NumPy diff()"의 두 판 사이의 차이

2022년 10월 30일 (일) 16:26 기준 최신판

1 개요[ | ]

NumPy.diff()

import numpy as np
x = np.array([1, 2, 4, 7, 0])
print( np.diff(x) )      # [ 1  2  3 -7]
print( np.diff(x, n=2) ) # [  1   1 -10]

import numpy as np
x = np.array([[1, 3, 6, 10], [0, 5, 6, 8]])
print( np.diff(x) ) # [[2 3 4]
                    #  [5 1 2]]
print( np.diff(x, axis=0) ) # [[-1  2  0 -2]]

import numpy as np
x = np.arange('1066-10-13', '1066-10-16', dtype=np.datetime64)
print( np.diff(x) )

2 같이 보기[ | ]

3 참고[ | ]

https://numpy.org/doc/stable/reference/generated/numpy.diff.html

@@ 2번째 줄: / 2번째 줄: @@
 ;NumPy.diff()
-<source lang='python' run>
+<syntaxhighlight lang='python' run>
 import numpy as np
 x = np.array([1, 2, 4, 7, 0])
 print( np.diff(x) )      # [ 1  2  3 -7]
 print( np.diff(x, n=2) ) # [  1   1 -10]
-</source>
+</syntaxhighlight>
-<source lang='python' run>
+<syntaxhighlight lang='python' run>
 import numpy as np
 x = np.array([[1, 3, 6, 10], [0, 5, 6, 8]])
@@ 14번째 줄: / 14번째 줄: @@
                      #  [5 1 2]]
 print( np.diff(x, axis=0) ) # [[-1  2  0 -2]]
-</source>
+</syntaxhighlight>
-<source lang='python' run>
+<syntaxhighlight lang='python' run>
 import numpy as np
 x = np.arange('1066-10-13', '1066-10-16', dtype=np.datetime64)
 print( np.diff(x) )
-</source>
+</syntaxhighlight>
 ==같이 보기==
+* [[NumPy gradient()]]
+* [[NumPy ediff1d()]]
+* [[NumPy cumsum()]]
 * [[함수 diff()]]
@@ 28번째 줄: / 31번째 줄: @@
 [[분류: NumPy]]
+[[분류: 계차]]