from scipy.spatial import distance
时间: 2023-09-18 20:13:13 浏览: 52
`from scipy.spatial import distance`是导入scipy库中的spatial模块里的distance模块。这个模块提供了计算距离的函数和方法,可以用来计算欧氏距离、余弦距离等等。这个模块提供了两种方式来计算距离,分别是`scipy.spatial.distance.pdist()`和`scipy.spatial.distance.cdist()`。
相关问题
from scipy.spatial.distance import cdist
`scipy.spatial.distance.cdist` is a function that calculates the distance between each pair of two collections of inputs. It takes in two arrays of shape `(n,m)` and `(k,m)` and returns a distance matrix of shape `(n,k)` where the `(i,j)`-th element is the distance between the `i`-th element of the first array and the `j`-th element of the second array, calculated using a specified distance metric.
For example, if we have two arrays `X` and `Y` of shape `(n,2)` and `(m,2)` respectively, we can calculate the Euclidean distance between each pair of points in `X` and `Y` as follows:
```
from scipy.spatial.distance import cdist
distances = cdist(X, Y, metric='euclidean')
```
The resulting `distances` array will have shape `(n,m)` where `distances[i,j]` is the Euclidean distance between the `i`-th point in `X` and the `j`-th point in `Y`.
from scipy.spatial.distance import euclidean
`scipy.spatial.distance.euclidean(u, v)` 函数可以计算两个向量 `u` 和 `v` 之间的欧几里得距离。具体而言,欧几里得距离就是两个向量之间对应元素差的平方和的平方根。函数的参数 `u` 和 `v` 都应该是具有相同长度的一维数组或列表。函数的返回值是一个标量,表示两个向量之间的距离。下面是一个简单的示例:
```python
from scipy.spatial.distance import euclidean
u = [1, 2, 3]
v = [4, 5, 6]
distance = euclidean(u, v)
print(distance)
```
输出结果为:
```
5.196152422706632
```