np.array([[[1, 3]], [[5, 9]]]) 和 np.array([[[7, 8]]])，怎么运算成np.array([[[1, 3]], [[5, 9]], [[7, 8]]])， python代码

可以使用numpy中的concatenate函数将两个数组进行连接：

import numpy as np

arr1 = np.array([[[1, 3]], [[5, 9]]])
arr2 = np.array([[[7, 8]]])

result = np.concatenate((arr1, arr2), axis=0)

print(result)
# 输出: [[[1 3]]
#         [[5 9]]
#         [[7 8]]]

相关问题

lab0 = np.array([0]) lab1 = np.array([1]) lab2 = np.array([2]) lab3 = np.array([3]) lab4 = np.array([4]) lab5 = np.array([5])

这是一段 Python 代码，它定义了六个变量：`lab0`、`lab1`、`lab2`、`lab3`、`lab4`、`lab5`。这些变量的值都是 NumPy 数组，包含了一个整数元素。它们分别表示不同样本类别的标签。例如，`lab0` 可能表示正常样本的标签，而 `lab1`、`lab2`、`lab3`、`lab4`、`lab5` 则分别表示不同故障类型的标签。这段代码可能用于为数据集中的样本打上标签。

return np.array(x), np.array(y), np.array(u), np.array(r).reshape(-1, 1), np.array(d).reshape(-1, 1)

This code converts the input variables x, y, u, r, and d into numpy arrays and returns them as a tuple.

- np.array(x) converts x into a numpy array.
- Similarly, np.array(y), np.array(u), np.array(r).reshape(-1, 1), and np.array(d).reshape(-1, 1) convert y, u, r, and d into numpy arrays.
- The reshape method is used to convert r and d into 2D arrays with a single column (-1 is used to automatically determine the number of rows based on the length of the array).
- Finally, all the numpy arrays are combined into a tuple and returned.