AttributeError: module numpy has no attribute object .
时间: 2023-07-29 09:11:32 浏览: 767
这个错误通常是由于 numpy 版本问题引起的。在较老的 numpy 版本中,numpy 对象是 numpy.ndarray,而在新版本中,numpy 对象是 numpy.object_。如果您的代码中使用了旧版本的 numpy,可能会出现此错误。解决方法是升级 numpy 到最新版本。您可以使用以下命令升级 numpy:
```
pip install --upgrade numpy
```
如果您已经安装了最新版本的 numpy,那么可能是其他库与 numpy 不兼容,您需要检查代码中使用的库是否与最新版本的 numpy 兼容。
相关问题
AttributeError: 'numpy.float64' object has no attribute 'fillna'
这个错误是因为numpy.float64对象没有fillna属性。要解决这个问题,您需要首先确保您的对象是pandas的DataFrame或Series类型,因为fillna()方法是这些类型的方法之一。您可以使用pandas的astype()方法将您的对象转换为DataFrame或Series类型,然后再尝试使用fillna()方法。请参考下面的代码示例:
```python
import pandas as pd
# 转换为DataFrame或Series类型
your_object = your_object.astype(pd.DataFrame) # 或者 pd.Series
# 使用fillna()方法
your_object = your_object.fillna(value)
```
在上面的代码中,您需要将"your_object"替换为您实际使用的对象,并将"value"替换为您要用来填充缺失值的值。
这样,您就可以解决AttributeError: 'numpy.float64' object has no attribute 'fillna'的问题了。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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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.
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