module 'pandas' has no attribute 'Int64Dtype'
时间: 2023-07-14 22:57:50 浏览: 187
抱歉,我之前给出的代码在最新版本的pandas中可能会出现问题。您可以尝试使用`astype('Int64')`来替代`astype(pd.Int64Dtype())`。
以下是经过修改后的示例代码:
```python
import pandas as pd
import numpy as np
# 创建一个示例数据框
data = pd.DataFrame({'气温': ['25℃', 'NaN', '30℃']})
# 将"最低气温/最高气温"行拆分为两列
data[['最低气温', '最高气温']] = data['气温'].str.split('/', expand=True)
# 去掉℃符号并将数值转换为整型数值
data['最低气温'] = data['最低气温'].str.rstrip('℃').astype(float).astype('Int64')
data['最高气温'] = data['最高气温'].str.rstrip('℃').astype(float).astype('Int64')
# 打印结果
print(data)
```
这样,您应该可以成功将"最低气温/最高气温"行拆分为两列,并且只保留整型数值(去掉℃符号)。请根据您的实际数据进行相应的调整。
相关问题
module pandas has no attribute int
This error occurs when you try to use the `int` attribute on a pandas module, which does not exist. To resolve this issue, you should check your code and make sure you are calling the correct attribute or function from the pandas module.
For example, if you are trying to convert a pandas DataFrame column to integer, you should use the `astype()` function instead of the `int` attribute. Here is an example:
```
import pandas as pd
# create a DataFrame
df = pd.DataFrame({'A': ['1', '2', '3']})
# convert column 'A' to integer
df['A'] = df['A'].astype(int)
```
In this example, we are using the `astype()` function to convert the column 'A' to integer, instead of using the `int` attribute.
module pandas has no attribute dataframe
这个错误提示是因为你可能在代码中调用了pandas模块中不存在的dataframe属性。一般来说,pandas的DataFrame属性拼写是大写的"DataFrame",而不是小写的"dataframe"。请检查代码拼写正确并重新运行程序。
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