我正在尝试对三组数据执行一次热编码

Question

I have a list (length=228) that represents the label of the columns (ie column.head).Also, I have three samples (a,b,c), for each of these samples, I have to create one-hot encoding. How to do this. The result may look like a matrix with o and one values inside with dimension (3,228)

a='95', '66', '137', '70', '20'
b='36', '66', '44', '214', '105', '133'
c='170', '66', '97', '153', '105', '138'
lnew=list(range(1,229))
lnew=list(map(str, total_labels))
print(lnew)

Answer 1

You create a list called matrice and you add sublists for each row with 1 if index matching 0 else

a=[95, 66, 137, 70, 20]
b=[36, 66, 44, 214, 105, 133]
c=[170, 66, 97, 153, 105, 138]

matrice=[]
matrice.append([1 if i in a else 0 for i in range(229)])
matrice.append([1 if i in b else 0 for i in range(229)])
matrice.append([1 if i in c else 0 for i in range(229)])

Answer 2

You can try:

a=[95, 66, 137, 70, 20]
b=[36, 66, 44, 214, 105, 133]
c=[170, 66, 97, 153, 105, 138]

df = pd.DataFrame()
count=0
for j in [a,b,c]:
    col = [1 if i in j else 0 for i in range(229)]
    df[count] = col
    count+=1
mat = np.matrix(df).reshape(3,228)