'numpy.int64' object has no attribute 'isin'
时间: 2023-10-11 19:13:38 浏览: 86
这个错误表明你正在尝试在一个 `numpy.int64` 对象上调用 `isin` 属性,但是 `numpy.int64` 类型并没有定义 `isin` 属性。通常情况下,`isin` 是 `numpy` 的一个函数,用于检查一个数组中的元素是否在另一个数组中。
可能的原因是你对一个整数对象使用了错误的方法或属性。请确保你正确使用了 `isin` 函数,并检查你的代码中是否有其他的逻辑错误。如果方便的话,提供更多的代码细节可以帮助我更好地理解问题并提供更精确的解决方案。
相关问题
'numpy.int64' object has no attribute 'strftime'
This error occurs when we try to use the strftime() method on a numpy.int64 object. strftime() is a method available in Python's datetime module and is used to convert a datetime object to a string representation based on a given format.
To resolve this error, we need to convert the numpy.int64 object to a datetime object before using the strftime() method. We can do this by using the datetime.fromtimestamp() method or the datetime.utcfromtimestamp() method, which take a timestamp as input and return a datetime object.
Here's an example of how we can convert a numpy.int64 object to a datetime object and then use the strftime() method:
```
import numpy as np
import datetime
# create a numpy.int64 object representing a timestamp
timestamp = np.int64(1618867200)
# convert the timestamp to a datetime object
dt_object = datetime.datetime.utcfromtimestamp(timestamp)
# use the strftime() method to format the datetime object as a string
formatted_date = dt_object.strftime("%Y-%m-%d")
# print the formatted date
print(formatted_date)
```
Output:
```
2021-04-20
```
'numpy.int64' object has no attribute 'translate'
It seems like you are trying to use the `translate` function on a `numpy.int64` object, which is not supported. The `translate` function is available for string objects in Python, but it cannot be used directly on numerical types like `int64`.
If you want to perform some translation operation on the numerical value represented by `numpy.int64`, you will first need to convert it to a string before using the `translate` function.
Here's an example of how you can convert the `numpy.int64` object to a string and then apply the `translate` function:
```python
import numpy as np
# Example numpy.int64 object
num = np.int64(12345)
# Convert to string
num_str = str(num)
# Use translate function on the string
translated_str = num_str.translate({ord('1'): 'A', ord('2'): 'B', ord('3'): 'C'})
print(translated_str)
```
This will output the translated string based on the provided translation dictionary. Feel free to modify the translation dictionary (`{ord('1'): 'A', ord('2'): 'B', ord('3'): 'C'}`) according to your requirements.
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