boxcox를 변환하는 코드 에

from scipy.special import boxcox1p
from scipy.stats import boxcox_normmax

# 왜도가 1보다 높은 수치형 변수를 출력하는 코드
high_skew = skewness_features[skewness_features > 1]
high_skew_index = high_skew.index

print("The data before Box-Cox Transformation: \n", all_df[high_skew_index].head())

# boxcox를 변환하는 코드
for num_var in high_skew_index:
    all_df[num_var] = boxcox1p(all_df[num_var], boxcox_normmax(all_df[num_var] + 1))
    
print("The data after Box-Cox Transformation: \n", all_df[high_skew_index].head())

위와 같이 코드를 실행시켰을 때 다음과 같은 에러가 발생하였습니다.

<ipython-input-72-7b0af0216c6e> in <cell line: 11>()
     10 # boxcox를 변환하는 코드
     11 for num_var in high_skew_index:
---> 12     all_df[num_var] = boxcox1p(all_df[num_var], boxcox_normmax(all_df[num_var] + 1))
     13 
     14 print("The data after Box-Cox Transformation: \n", all_df[high_skew_index].head())

BracketError: The algorithm terminated without finding a valid bracket. Consider trying different initial points.

from scipy.stats import boxcox_normmax, boxcox

# 왜도가 1보다 높은 수치형 변수를 출력하는 코드
high_skew = skewness_features[skewness_features > 1]
high_skew_index = high_skew.index

print("The data before Box-Cox Transformation: \n", all_df[high_skew_index].head())
# print(all_df[high_skew_index].info())

# boxcox를 변환하는 코드
for num_var in high_skew_index:
  
  lmbda = boxcox_normmax(all_df[num_var] + 1, method='mle')
  
  # Apply the Box-Cox transformation
  all_df[num_var] = boxcox(all_df[num_var] + 1, lmbda=lmbda)
  

print("The data after Box-Cox Transformation: \n", all_df[high_skew_index].head())