我试图创建一个脚本来迭代文件夹中的.csv文件，然后在保存到新的.csv文件之前对它们运行一些计算。我已经能够在生成均值和百分比时使其正常工作，但在尝试添加某些条件时存在KeyError问题。
以下是我到目前为止编写的代码：

import os
import pandas as pd
import csv

folder_path = 'D:/Libraries/Documents/data'

rtAvg = 'block1_respo.rt'
cond = 'block1_trigger'

output_file = 'results_compiled.csv'

df_list = []

for filename in os.listdir(folder_path):
    if filename.endswith('.csv'):
        # Load the CSV file into a data frame
        df = pd.read_csv(os.path.join(folder_path, filename))
    # This code will check if the column is missing, and will populate that row with "9999" if it is
        if rtAvg not in df.columns:
            df[rtAvg] = 9999
        
       
        rt_mean_b1 = df[rtAvg].mean()
        

        con1 = df.loc[df[cond]==101][rtAvg].mean()
        con2 = df.loc[df[cond]==102][rtAvg].mean()
        con3 = df.loc[df[cond]==103][rtAvg].mean()
        con4 = df.loc[df[cond]==104][rtAvg].mean()
    

    # Create a new row for the summary data
        summary_row = pd.DataFrame({
            'csv_file': filename,
            'rt_average': rt_mean_b1,
            '101_rt':con1,
            '102_rt':con2,
            '103_rt':con3,
            '104_rt':con4
        },index = [0])
    
    # Append the summary data to the list of data frames
        df_list.append(summary_row)
    

summary_df = pd.concat(df_list)

summary_df.to_csv( output_file, index = False)

以下是我收到的错误代码：

con1 = df.loc[df[cond]==101][rtAvg].mean()
  File "C:\Program Files\PsychoPy\lib\site-packages\pandas\core\frame.py", line 3458, in __getitem__
    indexer = self.columns.get_loc(key)
  File "C:\Program Files\PsychoPy\lib\site-packages\pandas\core\indexes\base.py", line 3363, in get_loc
    raise KeyError(key) from err
KeyError: 'block1_trigger'

block1_trigger确实存在。我已经打印了列表，它就在那里。我以前也试过用代码删除白色，但没有什么区别。我还试过cond = ' block1_trigger'和'block1_trigger '，都没有产生预期的结果。