0
我正在使用依賴於具有numpy數組的特定形狀的庫（keras）。我從來沒有遇到以下問題：numpy沒有提出正確的形狀？不包括子陣列的Numpy形狀
這裏是我的輸出，當我輸出我ndarray
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基本上，它是一個數組的數組列表（的熊貓系列傳遞到矩陣的行）。形狀輸出爲：
(404290,)
爲什麼不是numpy檢測到我想要一個三維數組？
編輯：改變了一些，因爲我是一個白癡，但在這裏有同樣的問題。
EDIT2：這裏就是我如何創建陣列
train['question1_vector'] = train['question1_nlp'].apply(lambda x: np.array([k.vector[:100] for k in x]))
基本上，我是從一個句子拉出所有詞矢量（最多100個窗口）的每一行。
然後我打電話
train['question1_vector'].values
，試圖得到的值。
形狀應該像
(404290, len_of_sentence, 100)
你是如何創造這個數組？ – ZdaR
@ZdaR檢查我的edit2 –
你這個醜陋的轉儲是對象dtype數組，包含不同大小的數組。實際上它是一個數組列表。 – hpaulj