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トップに関する質問numpy のエラーについて（setting an array element with a sequence.）

編集履歴

質問編集履歴

2

修正

2017/08/12 23:45

投稿

trafalbad
trafalbad

スコア303

test CHANGED
File without changes
test CHANGED
@@ -1 +1,171 @@
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+ X_image(5000, 64, 64, 3)を次のようにnp.arrayにしようとしたところ下記のようなエラーが出ました
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+
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+ 配列が違っていると出るエラーのようですが、今回は原因がわかりません。ご教授いただけないでしょうか？
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+
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+ ```
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+
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+ epochs=25
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+
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+ for epoch in range(epochs):
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+
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+ batch_idxs= min (len(X_image), np.inf) // 64
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+
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+ for idx in range (0, batch_idxs):
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+
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+ batch_files= X_image[idx*64:(idx+1)*64] #shape=(64, 64, 64, 3)
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+
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+ batch = [image for batch_file in batch_files]
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+
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+ batch_images = np.array(batch).astype(np.float32)
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+
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+ ValueError Traceback (most recent call last)
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+
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+ <ipython-input-75-af766500016d> in <module>()
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+
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+ 4 batch_files= X_image[idx*64:(idx+1)*64] #shape=(64, 64, 64, 3)
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+
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+ 5 batch = [image for batch_file in batch_files]
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+
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+ ----> 6 batch_images = np.array(batch).astype(np.float32)
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+
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  削除リクエスト送信済みのため回答しないでください。。、、、、、、、、、、、、、、、
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+
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+ ValueError: setting an array element with a sequence.
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+
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+
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+
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+ ```
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+
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+ ```
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+
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+ batch
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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+
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+ <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>]
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+
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+ ```

1

訂正

2017/08/12 23:45

投稿

trafalbad
trafalbad

スコア303

test CHANGED
File without changes
test CHANGED
@@ -1,183 +1 @@
1
- X_image(5000, 64, 64, 3)を次のようにnp.arrayにしようとしたところ下記のようなエラーが出ました
2
-
3
-
4
-
5
- 配列が違っていると出るエラーのようですが、今回は原因がわかりません。ご教授いただけないでしょうか？
1
+ 削除リクエスト送信済みのため回答しないでください。。、、、、、、、、、、、、、、、
6
-
7
- ```
8
-
9
- epochs=25
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-
11
- for epoch in range(epochs):
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-
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- batch_idxs= min (len(X_image), np.inf) // 64
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-
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- for idx in range (0, batch_idxs):
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-
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- batch_files= X_image[idx*64:(idx+1)*64] #shape=(64, 64, 64, 3)
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-
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- batch = [image for batch_file in batch_files]
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-
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- batch_images = np.array(batch).astype(np.float32)
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-
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-
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-
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- ValueError Traceback (most recent call last)
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-
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- <ipython-input-75-af766500016d> in <module>()
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-
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- 4 batch_files= X_image[idx*64:(idx+1)*64] #shape=(64, 64, 64, 3)
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-
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- 5 batch = [image for batch_file in batch_files]
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-
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- ----> 6 batch_images = np.array(batch).astype(np.float32)
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-
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-
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-
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-
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-
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-
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-
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- ValueError: setting an array element with a sequence.
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-
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-
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-
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- ```
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-
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-
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-
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-
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-
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- ```
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-
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- batch
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>,
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-
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- <tf.Tensor 'Placeholder_3:0' shape=(5000, 64, 64, 3) dtype=float32>]
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-
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- ```