'numpy.float64' object does not support item assignment

Question

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:

sim[i][1] = np.inner(vec[i],vec[1])
TypeError: 'numpy.float64' object does not support item assignment

here is my code:

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:

>>chi = np.inner(vec[0],vec[0])
>>print(type(chi))
<class 'numpy.float64'>

Ca you add some smple data for minimal, complete, and verifiable example ? — jezrael
– jezrael, Commented Jul 26, 2018 at 7:27
vec = np.array((1000,2422), dtype=np.uint8), sim = np.array((1000,1), dtype=np.float64) are these tuples supposed to be the shapes of the arrays? If so, you are using them wrong. Use the shape argument in a populated array like np.ones or np.zeros. — user2285236
– user2285236, Commented Jul 26, 2018 at 7:29
@jezrael HI jezrael! yes but I'm new and I had a little problem with link or photo uploading but I use the data of this link: (kaggle.com/PromptCloudHQ/imdb-data) — yasi
– yasi, Commented Jul 26, 2018 at 8:48
@user2285236 yes I tried with these form too but I get this same error. — yasi
– yasi, Commented Jul 26, 2018 at 8:51
@user2285236 the problem was the complex variable which I miss them but with the np.array it did not solved and I used np.ones as you told, do you know why this happened? — yasi
– yasi, Commented Jul 26, 2018 at 14:18

yasi · Accepted Answer · 2018-07-26 14:12:57Z

1

I find how this problem happened, I have assigned float variable to my array but when I used fillna with mean function and after that in inner product it returns some complex variable so I changed the array type to this form:

sim = np.ones((1000,1), dtype=np.complex_)

and the problem was solved.

answered Jul 26, 2018 at 14:12

yasi

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