Hi,

I'm trying to create a numpy v-stack and creating 3 np.array's for it, by filling them with a loop:

I get the error: 'AttributeError: 'numpy.ndarray' object has no attribute 'np' . I think I'm using the wrong notation to append to the empty arrays:

neighbor_id = [id_ for id_ in range(1, n_obs) if id_ != user_id]

neighbor_id_arr = np.array(neighbor_id)

similarity = np.array([])

num_interactions = np.array([])

# get similarity and num_interactions

for id_ in neighbor_id:

similarity.np.append(np.dot(user_item.loc[user_id],user_item.loc[id_])) #The issue is here, I think

num_interactions.np.append(user_interactions.loc[id_])

c = numpy.vstack((neighbor_id_arr, similarity,num_interactions))

Thanks!
James

Write a function to calculate accumulated GPA (omit grade <5).

def gpa_of_pass(marks, credits):
    gpa_list=[]
    for i in range(len(marks)):
        for j in range(len(marks[i])):
            if marks[i][j] < 5:
                marks=marks[i].pop(j)
    for i in marks:
        for j in i:
            gpa_list.append(np.dot(i,credits)/sum(credits))
    return gpa_list

marks = np.array([
    [8.0, 9.0, 10.0],
    [4.0, 9.0, 8.0],
    [8.0, 3.0, 8.0],
    [10.0, 9.0, 5.0],
    [9.0, 9.0, 4.0]
])

credits = np.array([2, 2, 1])
gpa_of_pass(marks, credits)

I ran a for loop to remove the grade <5 before calculating the GPA but I got the error in the title. Would you please have any suggestions? Thank you so much!