回答編集履歴
2
コード修正
answer
CHANGED
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@@ -8,7 +8,7 @@
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8
8
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outlier_E = np.array([0.12, 0.43, 0.29,0.87])
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outlier_ABCDE = np.stack([outlier_A, outlier_B, outlier_C, outlier_D, outlier_E])
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-
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11
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outlier = np.sort(outlier_ABCDE, axis=0)[-1]
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```
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または
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@@ -23,5 +23,5 @@
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outlier_E = np.array([0.12, 0.43, 0.29,0.87])
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outlier_ABCDE = np.stack([outlier_A, outlier_B, outlier_C, outlier_D, outlier_E])
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-
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26
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+
outlier = np.diag(outlier_ABCDE[np.argmax(outlier_ABCDE, axis=0)])
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```
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1
コード修正
answer
CHANGED
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@@ -9,4 +9,19 @@
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outlier_ABCDE = np.stack([outlier_A, outlier_B, outlier_C, outlier_D, outlier_E])
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result = np.sort(outlier_ABCDE, axis=0)[-1]
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12
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```
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13
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14
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+
または
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15
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```python
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17
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import numpy as np
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outlier_A = np.array([0.77, 0.89, 0.68,0.92])
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20
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outlier_B = np.array([0.43, 0.91, 0.03,0.14])
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outlier_C = np.array([0.23, 0.87, 0.66,0.09])
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outlier_D = np.array([0.05, 0.98, 0.24,0.65])
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23
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outlier_E = np.array([0.12, 0.43, 0.29,0.87])
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24
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25
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outlier_ABCDE = np.stack([outlier_A, outlier_B, outlier_C, outlier_D, outlier_E])
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result = np.diag(outlier_ABCDE[np.argmax(outlier_ABCDE, axis=0)])
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12
27
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```
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