回答編集履歴
2
追記
answer
CHANGED
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@@ -33,6 +33,12 @@
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33
33
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34
34
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[[ 3, 7, 11],
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35
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[ 4, 8, 12]]])
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36
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+
>>> np.dstack([d,c,c,d]) # こんなのでも上手く行った
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37
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array([[[ 1, 5, 9, 9, 1, 5],
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38
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[ 2, 6, 10, 10, 2, 6]],
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39
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40
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[[ 3, 7, 11, 11, 3, 7],
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41
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[ 4, 8, 12, 12, 4, 8]]])
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36
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>>> e = np.array([a,b])
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37
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>>> e
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38
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array([[[1, 2],
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1
追記
answer
CHANGED
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@@ -17,4 +17,36 @@
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17
17
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18
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[[5, 6],
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[7, 8]]])
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20
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```
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21
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22
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### 追記
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23
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追加で重ねる方法について色々試してみたので、参考にどうぞ。
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24
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```python
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25
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>>> import numpy as np
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26
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>>> a = np.array([[1,2],[3,4]])
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>>> b = np.array([[5,6],[7,8]])
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>>> c = np.array([[9,10],[11,12]])
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29
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>>> d = np.dstack([a,b])
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30
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>>> np.dstack([d,c]) # dstackで作った3次元配列に新たな2次元配列を結合
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31
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array([[[ 1, 5, 9],
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32
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[ 2, 6, 10]],
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33
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34
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[[ 3, 7, 11],
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35
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[ 4, 8, 12]]])
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36
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>>> e = np.array([a,b])
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37
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>>> e
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38
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array([[[1, 2],
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39
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[3, 4]],
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40
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41
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[[5, 6],
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[7, 8]]])
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>>> np.concatenate([e, [c]], axis=0) # 二番目の方法でやるならこうなると思う
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44
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array([[[ 1, 2],
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45
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[ 3, 4]],
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46
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[[ 5, 6],
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48
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[ 7, 8]],
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49
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50
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[[ 9, 10],
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51
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[11, 12]]])
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20
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```
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