'function' object has no attribute 'astype
时间: 2023-10-04 11:10:01 浏览: 92
这个错误通常出现在使用函数类型的对象调用`astype`方法时。`astype`方法是NumPy数组对象的方法,它用于将数组的数据类型转换为指定的类型。如果使用一个函数对象调用了`astype`方法,就会出现`'function' object has no attribute 'astype'`的错误。
要解决这个错误,你需要确保调用`astype`方法的对象是一个NumPy数组对象而不是一个函数对象。你可以通过查看对象的类型来确定它是函数还是数组。如果是一个函数,你需要检查你的代码,找到正确的数组对象并使用它来调用`astype`方法。
以下是一个示例代码,展示了如何使用`astype`方法转换NumPy数组的数据类型:
```python
import numpy as np
# 创建一个NumPy数组
arr = np.array([1, 2, 3, 4, 5])
# 查看数组的数据类型
print(arr.dtype) # 输出: int64
# 使用astype方法将数据类型转换为float
arr = arr.astype(float)
# 再次查看数组的数据类型
print(arr.dtype) # 输出: float64
```
确保你正在对正确类型的对象使用`astype`方法,这样就可以避免出现`'function' object has no attribute 'astype'`的错误。
相关问题
'bool' object has no attribute 'astype'
This error occurs when you try to use the `.astype()` method on a boolean object. The `.astype()` method is used to convert the data type of an array or a pandas Series, but boolean objects do not have this method.
For example, the following code will raise this error:
```python
import numpy as np
arr = np.array([True, False, True])
arr.astype(int)
```
To fix this error, you can either convert the boolean object to a different data type before using the `.astype()` method, or you can use a different method that is appropriate for boolean objects. For example, you can use the `numpy.where()` function to convert the boolean object to integers:
```python
import numpy as np
arr = np.array([True, False, True])
arr = np.where(arr, 1, 0)
```
'function' object has no attribute 'whois'
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