Python 3.x 如何将一个小数组复制到一个大数组上？

我正在尝试将一个大小为（829，1）的小numpy ndarray复制到一个大小为（3047，1）的大numpy ndarray上

我的代码如下

highest = 3047
features = loadmat(f"./{file}.sbow.mat")
current_features = np.zeros((highest, 1), dtype=int)
print(type(current_features))
print(type(features["image_sbow"]))
print(current_features.shape)
print(features["image_sbow"].shape)
current_features[:features["image_sbow"].shape[0], :1] = features["image_sbow"]

<class 'numpy.ndarray'>
<class 'numpy.ndarray'>
(3047, 1)
(829, 1)

我得到的输出如下所示

highest = 3047
features = loadmat(f"./{file}.sbow.mat")
current_features = np.zeros((highest, 1), dtype=int)
print(type(current_features))
print(type(features["image_sbow"]))
print(current_features.shape)
print(features["image_sbow"].shape)
current_features[:features["image_sbow"].shape[0], :1] = features["image_sbow"]

<class 'numpy.ndarray'>
<class 'numpy.ndarray'>
(3047, 1)
(829, 1)

(3047, 1)
(829, 1)

下面给出了我得到的错误

highest = 3047
features = loadmat(f"./{file}.sbow.mat")
current_features = np.zeros((highest, 1), dtype=int)
print(type(current_features))
print(type(features["image_sbow"]))
print(current_features.shape)
print(features["image_sbow"].shape)
current_features[:features["image_sbow"].shape[0], :1] = features["image_sbow"]

<class 'numpy.ndarray'>
<class 'numpy.ndarray'>
(3047, 1)
(829, 1)

ValueError:无法从结构强制转换为非结构，除非 结构只有一个字段

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您需要更详细地检查

功能[“image\u show”]

数组，而不仅仅是

类型

和

形状

。

数据类型是什么。根据这个错误，我认为它不是
int
。这是更复杂的事情。