我尝试在数据集（csv文件）上创建一个新列，该列组合了先前存在的列的内容。

import numpy as np
import pandas as pd

df = pd.read_csv('books.csv', encoding='unicode_escape', error_bad_lines=False)

#List of columns to keep
columns =['title', 'authors', 'publisher']

#Function to combine the columns/features
def combine_features(data):
  features = []
  for i in range(0, data.shape[0]):
    features.append( data['title'][i] +' '+data['authors'][i]+' '+data['publisher'][i])
    return features

#Column to store the combined features
df['combined_features'] =combine_features(df)

#Show data
df

我希望发现新列将使用标题、作者和出版商一起创建，但是我收到了错误“ValueError：值（1）的长度与索引（11123）"的长度不匹配。
为了解决这个问题，尝试使用命令“df.reset_index（inplace=True，drop=True）”，这是一个建议的解决方案，但不起作用，我仍然收到相同的错误。
下面是完整的错误消息：

ValueError                                Traceback (most recent call last)
<ipython-input-24-40cc76d3cd85> in <module>
      1 #Create a column to store the combined features
----> 2 df['combined_features'] =combine_features(df)
      3 df

3 frames
/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py in __setitem__(self, key, value)
   3610         else:
   3611             # set column
-> 3612             self._set_item(key, value)
   3613 
   3614     def _setitem_slice(self, key: slice, value):

/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py in _set_item(self, key, value)
   3782         ensure homogeneity.
   3783         """
-> 3784         value = self._sanitize_column(value)
   3785 
   3786         if (

/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py in _sanitize_column(self, value)
   4507 
   4508         if is_list_like(value):
-> 4509             com.require_length_match(value, self.index)
   4510         return sanitize_array(value, self.index, copy=True, allow_2d=True)
   4511 

/usr/local/lib/python3.8/dist-packages/pandas/core/common.py in require_length_match(data, index)
    529     """
    530     if len(data) != len(index):
--> 531         raise ValueError(
    532             "Length of values "
    533             f"({len(data)}) "

ValueError: Length of values (1) does not match length of index (11123)