I have a numpy array and a list that I want to relate to each other in order to produce a second list.
List 1: 399 values. Many object names repeat multiple times, e.g.: aaabbbbccdddddddde, etc. Array 1: 38 values, all of which appear in List 1 exactly once. e.g.: abcde,etc. I extracted them from list 1 using numpy unique List 2: Here I want to count how many times each unique value in List 2 appears in List 1. e.g.: 3,4,2,8,1
The second and third lists will be put in a pandas data frame, something like this
Array 2 List 2
a 3
b 4
c 2
d 8
e 1
This code . . .
array1 = np.array(array1.tolist())
listCount = 0
print(sessions.count())
while listCount <= len(list1):
list2 = (array1.count(list1[listCount]))
listCount = listCount + 1
. . . gets me this error:
"AttributeError: 'numpy.ndarray' object has no attribute 'count'"
I'm really confused, especially since I thought I converted the array to a list.
