인프런 커뮤니티 질문&답변

학습 관련 질문을 남겨주세요. 상세히 작성하면 더 좋아요!

질문과 관련된 영상 위치를 알려주면 더 빠르게 답변할 수 있어요

먼저 유사한 질문이 있었는지 검색해보세요

print(train.info())
print(test.info())
print(train.isnull().sum())
print(test.isnull().sum())
print(train.head())
print(test.head())
target = train['총가스사용량'].pop
# import sklearn
# print(sklearn.__all__)

print(train.shape, test.shape)
train = pd.get_dummies(train)
test = pd.get_dummies(test)
print(train.shape, test.shape)

상기 처럼 코딩 후,

컬럼값이 26, 25로 불일치하게 나와요. 왜일까요...

(3196, 6) (1476, 5) (3196, 26) (1476, 25)

그래서 그 이후 값들도 에러가 떠요

from sklearn.model_selection import train_test_split

X_tr, X_val, y_tr, y_val = train_test_split(train, target, test_size=0.2, random_state = 0)

---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

/tmp/ipython-input-3028840780.py in <cell line: 0>()
      1 from sklearn.model_selection import train_test_split
      2 
----> 3 X_tr, X_val, y_tr, y_val = train_test_split(train, target, test_size=0.2, random_state = 0)

4 frames

/usr/local/lib/python3.12/dist-packages/sklearn/utils/validation.py in _num_samples(x)
    397     if hasattr(x, "shape") and x.shape is not None:
    398         if len(x.shape) == 0:
--> 399             raise TypeError(
    400                 "Input should have at least 1 dimension i.e. satisfy "
    401                 f"`len(x.shape) > 0`, got scalar `{x!r}` instead."

TypeError: Input should have at least 1 dimension i.e. satisfy `len(x.shape) > 0`, got scalar `array(<bound method Series.pop of 0        9077.8
1       10105.5
2        8603.6
3       11076.8
4       10781.4
         ...   
3191    12294.7
3192    10410.7
3193    10473.8
3194     9657.9
3195     9961.5
Name: 총가스사용량, Length: 3196, dtype: float64>, dtype=object)` instead.