回答編集履歴
2
修正
answer
CHANGED
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@@ -2,17 +2,53 @@
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2
2
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axis=1ならば第二引数の要素分だけ各行で要素がシフトすると認識しておりました。
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3
3
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4
4
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違います。
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5
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-
axis=
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5
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+
axis=は、rollする軸です。3次元とかで考えてみたほうが理解しやすいと思います。
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6
6
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7
7
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```python
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8
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-
>>> a = np.arange(
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8
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>>> a = np.arange(60).reshape(3,4,5)
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9
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>>> print(a)
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10
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[[0 1 2]
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11
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[3 4 5]]
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12
9
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>>> np.roll(a, 1, axis=0)
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13
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array([[
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10
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array([[[40, 41, 42, 43, 44],
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11
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[45, 46, 47, 48, 49],
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14
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-
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12
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[50, 51, 52, 53, 54],
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13
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[55, 56, 57, 58, 59]],
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14
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15
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[[ 0, 1, 2, 3, 4],
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16
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[ 5, 6, 7, 8, 9],
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17
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[10, 11, 12, 13, 14],
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18
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[15, 16, 17, 18, 19]],
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19
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[[20, 21, 22, 23, 24],
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[25, 26, 27, 28, 29],
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22
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[30, 31, 32, 33, 34],
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23
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[35, 36, 37, 38, 39]]])
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15
24
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>>> np.roll(a, 1, axis=1)
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25
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array([[[15, 16, 17, 18, 19],
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[ 0, 1, 2, 3, 4],
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27
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[ 5, 6, 7, 8, 9],
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28
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[10, 11, 12, 13, 14]],
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29
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30
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[[35, 36, 37, 38, 39],
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31
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[20, 21, 22, 23, 24],
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32
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[25, 26, 27, 28, 29],
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33
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[30, 31, 32, 33, 34]],
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34
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35
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[[55, 56, 57, 58, 59],
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36
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[40, 41, 42, 43, 44],
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37
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[45, 46, 47, 48, 49],
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38
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[50, 51, 52, 53, 54]]])
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39
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>>> np.roll(a, 1, axis=2)
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16
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array([[
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40
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array([[[ 4, 0, 1, 2, 3],
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41
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[ 9, 5, 6, 7, 8],
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42
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[14, 10, 11, 12, 13],
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43
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[19, 15, 16, 17, 18]],
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44
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45
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[[24, 20, 21, 22, 23],
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46
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[29, 25, 26, 27, 28],
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47
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[34, 30, 31, 32, 33],
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17
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-
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48
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[39, 35, 36, 37, 38]],
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49
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50
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[[44, 40, 41, 42, 43],
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51
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[49, 45, 46, 47, 48],
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52
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[54, 50, 51, 52, 53],
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53
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[59, 55, 56, 57, 58]]])
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18
54
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```
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1
例を追加
answer
CHANGED
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@@ -2,4 +2,17 @@
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2
2
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axis=1ならば第二引数の要素分だけ各行で要素がシフトすると認識しておりました。
|
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3
3
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|
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4
4
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違います。
|
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5
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-
axis=0とaxis=1は、
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5
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+
axis=0とaxis=1は、rollする軸です。
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6
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+
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7
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```python
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8
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>>> a = np.arange(6).reshape(2,3)
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9
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>>> print(a)
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10
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[[0 1 2]
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11
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[3 4 5]]
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12
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>>> np.roll(a, 1, axis=0)
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array([[3, 4, 5],
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14
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[0, 1, 2]])
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15
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>>> np.roll(a, 1, axis=1)
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16
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array([[2, 0, 1],
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17
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[5, 3, 4]])
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18
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```
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