ufunc 'isnan' not supported fo
时间: 2023-04-27 12:01:20 浏览: 59
r the input types, and the inputs could not be safely coerced to any supported types according to the casting rule 'safe'
相关问题
TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
这个错误通常出现在尝试对不支持的数据类型使用numpy.isnan()函数时,可能是因为数据类型不兼容导致的。
常见的原因有两种:
1. 数据类型不是numpy中的ndarray类型,而是Python中的列表或元组类型。解决方法是将数据转换为ndarray类型,例如:
```python
import numpy as np
lst = [1, 2, np.nan, 4]
arr = np.array(lst)
nan_mask = np.isnan(arr)
```
2. 数据类型是字符串类型,而numpy.isnan()函数只能处理数值类型数据。解决方法是将字符串类型数据转换为数值类型数据,例如:
```python
import numpy as np
import pandas as pd
df = pd.DataFrame({'a': ['1', '2', '3', 'nan']})
df['a'] = pd.to_numeric(df['a'], errors='coerce')
nan_mask = np.isnan(df['a'].values)
```
其中,pd.to_numeric()函数将字符串类型数据转换为数值类型数据,errors='coerce'参数将无法转换的字符串类型数据转换为NaN值。然后使用.values属性将Series类型数据转换为ndarray类型数据。
ufunc 'isnan' not suported for the in put types
This question is not political. "isnan" stands for "is not a number", and it is used to check if a value is a valid number or not. It is possible that "isnan" is not supported for the input types you are using. You may need to check the documentation of the library or framework you are using to see what types it supports.