numpy.ndarray转double
时间: 2023-06-14 21:02:55 浏览: 447
如果你想将`numpy.ndarray`转换为`double`类型的数组,可以使用`astype()`函数。`astype()`函数可以接受一个字符串参数来指定转换后的类型,可以使用`float64`或`double`来表示`double`类型。
以下是一个示例代码:
```python
import numpy as np
# 创建一个numpy.ndarray
arr = np.array([1, 2, 3, 4, 5])
# 将数组转换为double类型
arr_double = arr.astype('float64')
# 打印转换后的数组
print(arr_double)
```
输出结果:
```
[1. 2. 3. 4. 5.]
```
注意,`astype()`函数会返回一个新的数组,原始数组不会被修改。如果想要修改原始数组,需要将转换后的数组赋值给原始数组。
相关问题
AttributeError: 'numpy.ndarray' object has no attribute 'double'
AttributeError: 'numpy.ndarray' object has no attribute 'double'是一个错误提示,意味着在numpy的ndarray对象上调用了一个名为'double'的属性,但该属性不存在。
在numpy中,ndarray对象是用于存储和操作多维数组的主要数据结构。它提供了许多内置的属性和方法,例如shape、size、dtype等。然而,'double'并不是ndarray对象的一个有效属性。
可能的原因是你误以为ndarray对象具有'double'属性,或者你可能在代码中错误地使用了'double'属性。请检查你的代码,确保正确使用了numpy的ndarray对象的属性和方法。
'numpy.ndarray' object has no attribute 'reship'
The error message you received indicates that the `numpy.ndarray` object does not have an attribute named `reship`. This means that you likely called the `reship` method on a NumPy array, but `reship` is not a valid method for NumPy arrays.
It's possible that you misspelled the method name or are trying to use a method that doesn't exist for NumPy arrays. Double-check the spelling of the method name and make sure it is a valid method for NumPy arrays.
If you're not sure what method to use, you can check the NumPy documentation or try using the built-in methods for NumPy arrays, such as `reshape`, `transpose`, and `flatten`.