data = np.column_stack((data, np.ones(row*col)))
时间: 2023-05-12 07:03:12 浏览: 78
这是一个将一个由 Numpy 数组 data 和一个由 Numpy 数组 np.ones(row*col) 组成的元组按列连接起来的操作。其中,np.ones(row*col) 是一个由全为 1 的元素组成的 Numpy 数组,它的行数为 row*col。最终得到的结果是一个新的 Numpy 数组,它的列数比原来的 data 数组多了 1 列,新的一列全为 1。
相关问题
X = np.column_stack()
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]]
```
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.