https://imgur.com/gallery/yAdAjdx

Hello,

Linked is the screenshot of the two error messages I keep recieving as well as the code leading up to it. I'm trying to run an uplift on a classification tree. Any help is appreciated, I am still fairly new to python. Thank you!!

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!

Recoding Variables
"
#I need to recode variables given there are "5" responses present on a 4-point scale
scldict = {1:1,2:2,3:3,4:4,5:'NaN'}
w1array = np.array(week1)
w1vec = w1array.vectorize(scldict)
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-92-e3f6056d2727> in <module>()
      2 scaldict = {1:1,2:2,3:3,4:4,5:'NaN'}
      3 w1array = np.array(week1)
----> 4 w1vec = w1array.vectorize(scaldict)

AttributeError: 'numpy.ndarray' object has no attribute 'vectorize'

Hello world, I am trying to recode variables given there are invalid responses in my survey data. I am using a dictionary and the vectorize function (seen on StackOverflow) to do this. Why is the vectorize function not available? I am lost.

Any help or suggestions for recoding variables in an efficient manner would be appreciated.