Scikit中截断的SVD-learn：如何获取输出数据？

Question

我正在尝试使用 Scikit-learn 中的df_SVD来减少数据框中的列数。

下面的代码运行但我不知道如何访问转换后的数据帧。

我的原始数据框称为df_SVD，其形状为（8844,1159）。当我运行下面的代码并在转换后查找svd=TruncatedSVD(n_components=20, n_iter=10) svd.fit_transform(df_SVD) df_SVD.head() df_SVD.shape df_SVD_new.shape 的形状时，形状保持不变。

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                }
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