pandas 'numpy.float64' 对象不支持项目分配
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'numpy.float64' object does not support item assignment
提问by yasi
I have Dataframe of "IMDB data from 2006 to 2016" which is in Kaggle site: https://www.kaggle.com/PromptCloudHQ/imdb-data. I have made it as numpy array but when I want to assign the inner product of two row of it to numpy.float64 variable, it gives me this error:
我有“2006 年到 2016 年的 IMDB 数据”的数据框，它位于 Kaggle 站点：https://www.kaggle.com/PromptCloudHQ/imdb-data 。我已经将它作为 numpy 数组，但是当我想将它的两行的内积分配给 numpy.float64 变量时，它给了我这个错误：
sim[i][1] = np.inner(vec[i],vec[1])
TypeError: 'numpy.float64' object does not support item assignment
here is my code:
这是我的代码：
X = trainset.drop(['Description', 'Runtime','Director','Title', 'ID'], axis=1)
X.Revenue = X.Revenue.fillna(X.Revenue.mean())
X.Metascore= X.Metascore.fillna(X.Revenue.min())
features = ['Genre','Actors']
for f in features:
X_dummy = X[f].str.get_dummies(',').add_prefix(f + '.')
X = X.drop([f], axis = 1)
X = pd.concat((X, X_dummy), axis = 1)
vec = np.ones((1000,2422), dtype=np.uint8)
vec = X.values
sim = np.ones((1000,1), dtype=np.float64)
for i in range (1,1000):
sim[i][1] = np.inner(vec[i],vec[1])
and when I get the type of this inner product it gives me exactly this type:
当我得到这个内积的类型时，它给了我这种类型：
>>chi = np.inner(vec[0],vec[0])
>>print(type(chi))
<class 'numpy.float64'>
回答by yasi
I find how this problem happened, I have assigned float variable to my array but when I used fillnawith meanfunction and after that in inner product it returns some complexvariable so I changed the array type to this form:
我发现了这个问题是如何发生的，我已经将 float 变量分配给了我的数组，但是当我将fillna与mean函数一起使用时，然后在内积中它返回一些复杂的变量，因此我将数组类型更改为这种形式：
sim = np.ones((1000,1), dtype=np.complex_)
and the problem was solved.
问题就解决了。
