python dataframe选取除了'rating', 'pages', 'numRatings', 'likedPercent', 'language_English', 'language_Filipino; Pilipino', 'language_Georgian', 'language_Greek, Modern (1453-)', 'language_Hungarian', 'language_Polish', 'language_Portuguese', 'language_Spanish', 'language_U', 'bookFormat_Capa Mole', 'bookFormat_Leather Bound', 'bookFormat_Mass Market Paperback', 'bookFormat_Rústica', 'bookFormat_Slipcased Hardcover', 'bookFormat_U', 'bookFormat_Unknown Binding', 'price'列的其它列

你可以使用以下代码选取除了指定列以外的其它列：

import pandas as pd

# 创建示例数据
data = {'name': ['Alice', 'Bob', 'Charlie'],
        'age': [25, 30, 35],
        'gender': ['F', 'M', 'M'],
        'rating': [4.5, 3.8, 4.2],
        'pages': [320, 256, 432],
        'numRatings': [1000, 500, 800],
        'likedPercent': [85, 70, 90],
        'language_English': [1, 0, 1],
        'language_Filipino; Pilipino': [0, 1, 0],
        'language_Georgian': [0, 0, 1],
        'language_Greek, Modern (1453-)': [1, 1, 0],
        'language_Hungarian': [0, 1, 0],
        'language_Polish': [1, 0, 0],
        'language_Portuguese': [0, 1, 1],
        'language_Spanish': [1, 1, 0],
        'language_U': [0, 0, 1],
        'bookFormat_Capa Mole': [1, 0, 0],
        'bookFormat_Leather Bound': [0, 1, 0],
        'bookFormat_Mass Market Paperback': [0, 0, 1],
        'bookFormat_Rústica': [1, 0, 1],
        'bookFormat_Slipcased Hardcover': [0, 1, 0],
        'bookFormat_U': [0, 0, 1],
        'bookFormat_Unknown Binding': [0, 1, 0],
        'price': [20.5, 25.0, 18.9]}

df = pd.DataFrame(data)

# 选取除了指定列以外的其它列
cols_to_keep = [col for col in df.columns if col not in ['rating', 'pages', 'numRatings', 'likedPercent', 
                                                          'language_English', 'language_Filipino; Pilipino', 
                                                          'language_Georgian', 'language_Greek, Modern (1453-)', 
                                                          'language_Hungarian', 'language_Polish', 'language_Portuguese', 
                                                          'language_Spanish', 'language_U', 'bookFormat_Capa Mole', 
                                                          'bookFormat_Leather Bound', 'bookFormat_Mass Market Paperback', 
                                                          'bookFormat_Rústica', 'bookFormat_Slipcased Hardcover', 
                                                          'bookFormat_U', 'bookFormat_Unknown Binding', 'price']]

df_selected = df[cols_to_keep]

print(df_selected)

输出结果为：

      name  age gender
0    Alice   25      F
1      Bob   30      M
2  Charlie   35      M