[英]How to insert an array into existing multi-dimensional array by index? [Python]
I manipulated the MNIST dataset for research, by adding a set of digits to each digit in the dataset.我通过为数据集中的每个数字添加一组数字来操作 MNIST 数据集进行研究。
Before manipulation:操作前:
In:
x_train.shape
Out:
(60000, 28, 28)
Expectated result after manipulation:操作后的预期结果:
In:
x_train_new.shape
Out:
(60000, 11, 28, 28)
However I messed up and forgot to add x_train[i]
in each iteration.但是我搞砸了,忘记在每次迭代中添加
x_train[i]
。 Therefore my shape is the following:因此我的形状如下:
In:
x_train_new.shape
Out:
(60000, 10, 28, 28)
I have tried to apply np.insert
, however I am struggling to apply it correctly since it is a multidimensional array:我试图应用
np.insert
,但是我正在努力正确应用它,因为它是一个多维数组:
tryout = x_train_new[0]
In:
np.insert(tryout, 0, x_train[0])
Out:
ValueError: could not broadcast input array from shape (28,28) into shape (28)
How can I insert x_train[i]
to each ``ì```?如何将
x_train[i]
插入每个``ì```? Is it possible to insert the array as the first value in each array?是否可以将数组作为每个数组中的第一个值插入?
Any help is appreciated.任何帮助表示赞赏。 Thank you very much.
非常感谢。
Just create an empty array只需创建一个空数组
x_train_expected = np.empty((60000, 11, 28, 28))
and do并做
x_train_expected[:,1:] = x_train_new
x_train_expected[:,0] = x_train
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