if np.issubdtype(is_numeric.dtypes, np.number): AttributeError: 'numpy.bool_' object has no attribute 'dtypes'怎么修改
时间: 2023-10-16 21:30:30 浏览: 38
抱歉,我之前的回答有误。`np.issubdtype`函数是用来判断一个数据类型是否属于另一个数据类型的子类型,而不是用来判断一组数据是否全部为数字的。正确的判断方式应该是使用`pd.to_numeric`函数将数据转换为数字类型,并检查转换后的结果是否全部为数字。具体修改后的代码如下:
```python
import pandas as pd
# 读取Excel表格中的数据
data = pd.read_excel('data.xlsx', sheet_name='Sheet1')
# 选择第三到五行的数据
selected_data = data.iloc[2:5, :]
# 将数据转换为数字类型
numeric_data = pd.to_numeric(selected_data.stack(), errors='coerce').values
# 判断数据是否全部为数字
if pd.isna(numeric_data).any():
print("第三到五行不全为数字")
else:
print("第三到五行全部为数字")
```
在这段代码中,`pd.to_numeric`函数用于将数据转换为数字类型,`errors='coerce'`参数用于将不能转换为数字的数据转换为NaN值。`pd.isna(numeric_data)`函数用于检查转换后的结果中是否存在NaN值,如果存在则说明不是全部为数字。
相关问题
AttributeError: 'numpy.float64' object has no attribute 'strftime'
This error occurs when you try to use the `strftime()` method on a `numpy.float64` object.
The `strftime()` method is used to convert a date or time object into a string representation. However, `numpy.float64` is a numeric data type and does not have any datetime-related attributes or methods.
To fix this error, make sure that you are passing a valid date or time object to the `strftime()` method. If you are trying to convert a numpy array of dates, you can first convert it to a datetime object using the `datetime` module and then apply the `strftime()` method to it.
Here is an example:
```python
import numpy as np
from datetime import datetime
# create a numpy array of dates
dates = np.array(['2022-01-01', '2022-01-02', '2022-01-03'], dtype='datetime64')
# convert the numpy array to a list of datetime objects
dates_list = [datetime.utcfromtimestamp(date.tolist()/1e9) for date in dates]
# apply the strftime() method to the datetime objects
formatted_dates = [date.strftime('%Y-%m-%d') for date in dates_list]
print(formatted_dates) # ['2022-01-01', '2022-01-02', '2022-01-03']
```
In this example, we first create a numpy array of dates and then convert it to a list of datetime objects. Finally, we apply the `strftime()` method to each datetime object in the list to get the formatted dates.
AttributeError: module 'pandas.core.common' has no attribute 'resolve_numeric_only'
针对您提供的问题,我可以给出以下回答:
针对问题“AttributeError: module 'pandas.core.common' has no attribute 'resolve_numeric_only'”,这个错误通常是由于pandas版本过低导致的。解决方法是升级pandas到最新版本。您可以使用以下命令升级pandas:
```shell
pip install --upgrade pandas
```
如果您已经安装了最新版本的pandas,那么可能是因为您的代码中使用了已经被弃用的函数或属性。您需要检查您的代码并将其更新为最新的API。
以下是三个相关问题: