인코더(Encorder) - pd.get_dummies

get_dummies

• OneHotEncoder와 동일하며 편한 방법으로 사용하면 됩니다.

# 예시 데이터
df = pd.DataFrame({'C1': np.random.randn(20),'C2': ['a', 'a', 'a', 'a', 'a', 'a', 'a', 'a', 'a', 'a','b', 'b', 'b', 'b', 'b', 'b', 'b', 'b', 'b', 'b']})
C1           C2
0 0.839674   a
1 -0.514992  a
2 -2.072183  a
3 -1.664719  a
4 0.881287   a
5 -1.151537  a
6 0.768122   a
7 0.942399   a
8 0.384411   a
9 -1.072716  a
10 0.216321  b
11 -0.018060 b
12 -0.297903 b
13 1.430495  b
14 -0.258497 b
15 0.509483  b
16 0.526239  b
17 1.305845  b
18 -0.900900 b
19 -0.463382 b

# C2열 더미화
pd.get_dummies(df,columns=['C2'],prefix='word')

       C1   word_a   word_b
0 0.303355      1      0
1 0.320274      1      0
2 -1.192643     1      0
3 -0.582344     1      0
4 1.233197      1      0
5 0.053738      1      0
6 -0.761975     1      0
7 -0.702154     1      0
8 0.949892      1      0
9 1.346181      1      0
10 1.883862     0      1
11 -0.766519    0      1
12 -0.417308    0      1
13 -0.674398    0      1
14 0.589356     0      1
15 -1.489583    0      1
16 0.077735     0      1
17 0.479897     0      1
18 1.244302     0      1
19 -2.331532    0      1