y1 = np.zeros(x1.shape[0]) y2 = np.ones(x2.shape[0]) y3 = np.full(x3.shape[0], 2) y4 = np.full(x4.shape[0], 3) y5 = np.full(x5.shape[0], 4)
时间: 2024-06-06 13:07:09 浏览: 9
These lines of code create five different arrays, each filled with a different constant value. The length of each array corresponds to the length of a different input array (x1, x2, x3, x4, x5).
- y1 is an array of zeros, with the same length as x1.
- y2 is an array of ones, with the same length as x2.
- y3 is an array filled with the constant value 2, with the same length as x3.
- y4 is an array filled with the constant value 3, with the same length as x4.
- y5 is an array filled with the constant value 4, with the same length as x5.
相关问题
tmpLbl = np.zeros(label.shape)
tmpLbl = np.zeros(label.shape)是一个将label数组的形状作为参数,创建一个与label形状相同的全零数组的操作。这个操作使用了NumPy库中的zeros函数,该函数可以返回一个给定形状和类型的全零数组。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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[ .reference_list ]
np.zeros(value.shape, dtype=np.int)
您的问题是关于使用NumPy创建一个与给定数组形状相同的全零数组,并且数据类型为整数。
下面是使用NumPy的`zeros`函数来实现的代码:
```python
import numpy as np
# 假设value是一个已知的数组
zeros_array = np.zeros(value.shape, dtype=np.int)
print(zeros_array)
```
这将创建一个与`value`数组具有相同形状的新数组`zeros_array`,并且其中的所有元素都为零。数据类型通过`dtype`参数设置为`np.int`,这表示数组中的元素将为整数类型。
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