为什么会出现'DataFrame' object has no attribute 'dtype'

Question

users=["User1","User2","User3","User4","User5"]
items=["ItemA","ItemB","ItemC","ItemD","ItemE",]
datasets=[
    [1,0,1,0,1],
    [1,1,0,0,1],
    [0,1,0,1,0],
    [1,0,1,0,1],
    [1,1,1,0,1]
...
...
]
import pandas as pd
df=pd.DataFrame(datasets,columns=items,index=users)
from sklearn.metrics import jaccard_score
jaccard_score(df['ItemA'],df['ItemB'])
from sklearn.metrics.pairwise import pairwise_distances
user_similar=1-pairwise_distances(df,metric='jaccard')

请教一下各位大哥，为什么会有如下报错，是这个pairwise_distances问题但是我实在无法解决

AttributeError                            Traceback (most recent call last)
> ~\AppData\Local\Temp/ipykernel_39128/2253043940.py in <module>
> ----> 1 user_similar=1-pairwise_distances(df,metric='jaccard')
>       2 user_similar=pd.DataFrame(user_similar,columns=users,index=users)
> 引用
> ~\AppData\Local\Programs\Python\Python37\lib\site-packages\sklearn\metrics\pairwise.py in pairwise_distances(X, Y, metric, n_jobs, force_all_finite, **kwds)
>    1871         dtype = bool if metric in PAIRWISE_BOOLEAN_FUNCTIONS else None
>    1872 
> -> 1873         if dtype == bool and (X.dtype != bool or (Y is not None and Y.dtype != bool)):
>    1874             msg = "Data was converted to boolean for metric %s" % metric
>    1875             warnings.warn(msg, DataConversionWarning)
> 引用
> ~\AppData\Local\Programs\Python\Python37\lib\site-packages\pandas\core\generic.py in __getattr__(self, name)
>    5485         ):
>    5486             return self[name]
> -> 5487         return object.__getattribute__(self, name)
>    5488 
>    5489     def __setattr__(self, name: str, value) -> None:
> 引用
> AttributeError: 'DataFrame' object has no attribute 'dtype'

Answer 1

我找到解决方法了，user_similar=1-pairwise_distances(df,metric='jaccard')
这个语句中，pairwise_distances无法实现metric='jaccard‘这个方法。我是看那个网上推荐系统的视频敲得，但是这个比较旧的视频。现在能支持的是elucidian和l1,l2正则方法

Answer 2

你这个结论是不正确的，从出错来看，问题在于你传入了 df 这种 pd.DataFrame 对象，而这种对象是没有 dtype 这个属性的（这个属性一般是 numpy 中用的），因而报错。你应该将其转换为 numpy 中的 ndarray 类型，比如 user_similar = 1 - pairwise_distances(df.values, metric='jaccard') 之类的。另外，你确定你看的视频中是你那种写法吗？