回答編集履歴
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追記
test
CHANGED
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@@ -85,3 +85,41 @@
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listに入れておいて、最後にまとめて`np.concatenate`を呼ぶ。これで実用的な速度になるでしょう。
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### 追記
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```python
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# 空の配列を先に定義しておく
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data = np.empty((n_loops,100,200))
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start_time = time.time()
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for i in range(n_loops):
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bbb = np.random.randint(low=1, high=5,size=1*100*200).reshape(1,100,200)
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data[i] = bbb
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end_time = time.time()
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print(data.shape)
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print(str(end_time - start_time) + ' [sec]') #print calculation time
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""" =>
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(1000, 100, 200)
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0.16308903694152832 [sec]
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"""
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```
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こっちの方が速い・・・かな？
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