Distance = np.zeros([site_count, site_count])
时间: 2024-05-24 07:13:38 浏览: 10
This line of code creates a 2D-array (matrix) with dimensions `site_count` x `site_count` filled with zeros. This matrix is likely to be used to store the distances between different sites, where each row and column corresponds to a different site. The elements of the matrix will be filled with the actual distances between the sites later in the code.
相关问题
new_lattice = np.zeros(n)
`new_lattice = np.zeros(n)`是一个使用NumPy库创建长度为n的一维数组(也可以称为向量)的代码。该数组的所有元素都被初始化为0。
在这段代码中,`np.zeros(n)`函数会返回一个由n个0组成的数组。然后,将返回的数组赋值给变量`new_lattice`,这样`new_lattice`就成为了一个长度为n的数组,并且所有元素都是0。
相关问题:
1. NumPy是什么?
2. 如何创建一个指定长度的一维数组?
3. 除了np.zeros(),还有哪些创建数组的函数?
cumulative_mean = np.zeros()
`np.zeros()` requires an argument to specify the shape of the array. For example, if you want to create a 1D array of length 5 filled with zeros, you can use:
```
cumulative_mean = np.zeros(5)
```
If you want to create a 2D array with 3 rows and 4 columns filled with zeros, you can use:
```
cumulative_mean = np.zeros((3, 4))
```
The shape can be specified as a tuple or as separate arguments.
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