rndwalk.cumsum
时间: 2023-05-14 07:07:07 浏览: 48
这是一个 Python 中的函数,用于计算随机游走的累积和。具体实现可以参考以下代码:
import numpy as np
def rndwalk_cumsum(steps):
# 生成随机步长
steps = np.random.choice([-1, 1], size=steps)
# 计算累积和
return np.cumsum(steps)
例如,rndwalk_cumsum(10) 可以返回 [-1, 0, 1, 2, 3, 4, 3, 2, 1, 0] 这样的结果。
相关问题
torch.cumsum
`torch.cumsum()` is a PyTorch function that computes the cumulative sum of elements along a specified dimension of a tensor. It takes the following syntax:
```
torch.cumsum(input, dim=None, dtype=None)
```
where:
- `input`: input tensor to compute cumulative sum
- `dim`: dimension along which to compute cumulative sum. If not specified, the flattened tensor is used.
- `dtype`: optional data type of the output tensor.
The function returns a tensor containing the cumulative sum of elements along the specified dimension of the input tensor. The output tensor has the same shape as the input tensor. The first element of the output tensor is the same as the first element of the input tensor, and each subsequent element is the sum of the current element and all previous elements along the specified dimension.
For example, consider the following input tensor:
```
x = torch.tensor([[1, 2, 3], [4, 5, 6]])
```
If we apply `torch.cumsum(x, dim=1)`, we get the following output tensor:
```
tensor([[ 1, 3, 6],
[ 4, 9, 15]])
```
This is because the first row of the output tensor contains the cumulative sum of the elements in the first row of the input tensor, and the second row of the output tensor contains the cumulative sum of the elements in the second row of the input tensor.
python np.cumsum
np.cumsum 是 numpy 库中的一个函数,用于计算数组元素的累加和。它将给定数组中的每个元素与前面的元素相加,并返回一个新的数组,其中每个元素都是原始数组中该位置及之前所有元素的总和。
例如,对于以下数组:
```python
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
```
使用 np.cumsum 函数将返回以下结果:
```python
array([ 1, 3, 6, 10, 15])
```
其中,第一个元素为原始数组的第一个元素,第二个元素为原始数组的前两个元素之和,以此类推。