X = np.column_stack()
时间: 2024-05-15 08:19:27 浏览: 8
This code snippet is incomplete as no arguments have been passed to the `column_stack()` function.
`np.column_stack()` is a NumPy function that takes a sequence of 1-D arrays and stacks them as columns to make a single 2-D array.
For example, if we have two arrays `a = [1, 2, 3]` and `b = [4, 5, 6]`, we can stack them horizontally as columns using `column_stack()`:
```
import numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
X = np.column_stack((a, b)) # X is now [[1, 4], [2, 5], [3, 6]]
```
相关问题
np.column_stack
This function is part of the NumPy library in Python. It takes a sequence of arrays as input and stacks them horizontally to make a single array. For example, if you have two 1-dimensional arrays `a` and `b`, `np.column_stack((a,b))` will create a 2-dimensional array with `a` and `b` as its columns.
Here is an example:
```
import numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
c = np.column_stack((a, b))
print(c)
```
This will output:
```
[[1 4]
[2 5]
[3 6]]
```
Here, `c` is a 2-dimensional array with `a` and `b` as its columns.
np.column_stack()
`np.column_stack()`是NumPy库中的一个函数,用于将一组一维数组按列方向进行堆叠,形成一个二维数组。它将一组一维数组作为参数,并将它们按列方向进行堆叠。例如:
```python
import numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
c = np.column_stack((a, b))
print(c)
```
输出结果为:
```
array([[1, 4],
[2, 5],
[3, 6]])
```
在这个例子中,我们将一维数组`a`和`b`按列方向进行堆叠,形成了一个新的二维数组`c`。注意,这里只能传入一维数组作为参数,否则将会报错。如果要将多维数组按列方向进行堆叠,可以使用`np.hstack()`函数。