質問編集履歴
9
誤記修正
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8
質問に情報を追加
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実際のdetaは、test5.pyのサンプルにように単語がブランクで区切られた文字列の配列です。
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countの型とサイズは以下の通りです。
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print(type(count))： <class 'scipy.sparse.csr.csr_matrix'>
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print(count.shape)：(1, 28799)
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<test5.py>
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```python
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from sklearn.feature_extraction.text import CountVectorizer
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import csv
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data = ['Twinkle twinkle little star' 'How I wonder what you are' 'Up above the world so high' 'Like a diamond in the sky' 'Twinkle twinkle little star' 'How I wonder what you are']
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csvc_vec = CountVectorizer()
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count = csvc_vec.fit_transform(data)
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with open('count.csv', 'wt') as f:
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writer = csv.writer(f)
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writer.writerows(count)
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print(count)
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print(type(count))
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print(count.shape)
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```
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<class 'scipy.sparse.csr.csr_matrix'>
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(1, 16)
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7
出力の説明を補足
test
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test
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```
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以下、count.csvファイルを開いた
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以下、count.csvファイルをエディタ等で開いた表示
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" (0, 0) 29
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6
出力結果の説明補足
test
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test
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```
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以下、count.csvファイルを開いた内容
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" (0, 0) 29
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5
サンプルコード修正
test
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test
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@@ -10,13 +10,19 @@
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```python
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from sklearn.feature_extraction.text import CountVectorizer
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import csv
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csvc_vec = CountVectorizer()
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count = c_vec.fit_transform(data)
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writer = csv.writer(f)
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writer.writerows(count)
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4
コードのインデントを修正
test
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with open('count.csv', 'wt') as f:
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writer = csv.writer(f)
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writer.writerows(count)
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3
コードをMarkdown記法を適用
test
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```python
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import csvc_vec = CountVectorizer()
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count = c_vec.fit_transform(data)
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writer = csv.writer(f)
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writer.writerows(count)
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```
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2
サンプルコードを修正
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1
サンプルコードの入力ミスを修正
test
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import csvc_vec = CountVectorizer()
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t
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count = c_vec.fit_transform(data)
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with open('
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with open('count.csv', 'wt') as f:
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writer = csv.writer(f)
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writer.writerows(
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writer.writerows(count)
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