功能列标题的参数时，csvdictreader的KeyError不起作用

如何解决功能列标题的参数时，csvdictreader的KeyError不起作用

这是我的代码，我不断遇到关键错误。我已经在我的班级的初始化代码中打开了该文件，但是问题是我一直在为此文件获取KeyError。我知道当我在函数中打开文件时它可以工作，但是当我在函数外打开文件时它却无法工作并且出现KeyError。如果您需要完整的代码，请告诉我。除了导入csv，我不能为此使用pandas或任何其他模块。我知道这样做会更容易：）

    def calc_avg(self,specific,filter,logic,threshold):
        '''calculates avg for the column determine by specific based off the filter parameters given by 
        filter,threshold'''
        
        if isinstance(threshold,str):
            threshold = float(threshold)

       
        running_sum = 0
        running_count = 0
        
        for row in csv.DictReader(self.load_data):
            value = int(row[filter])
                
            if logic == 'lt' and value < threshold:
                include = True
            elif logic == 'gt' and value > threshold:
                include = True
            elif logic == 'lte' and value <= threshold:
                include = True
            elif logic == 'gte' and value >= threshold:
                include = True
            else:
                include = False

            if include:
                running_sum += int(row[specific])
                running_count += 1

            
        return (round(running_sum / running_count,2))

命令是 print(csv_data.calc_avg("Length_of_stay",filter="SOFA",logic="lt",threshold="15"))

我得到的错误是：

    value = int(row[filter])
KeyError: 'SOFA'

Sample Data:

RecordID SAPS-I SOFA    Length_of_stay  
132539    6      1         5    
132540    16     8         8    
132541    21     11       19    
132545    17     2         4    
132547    14     11        6    
132548    14     4         9    
132551    19     8         6    
132554    11     0        17   

完整代码：

class HWReader():
    
    def __init__(self,load_data):
        '''initializer that sets filename as a parameter that can be used within all functions'''
        
        self.load_data = open(load_data,"r")
        
    def get_saps(self,record_name):
        '''finds the saps score for a record name'''
        
        for row in csv.DictReader(self.load_data,delimiter = ','):
            if row['RecordID'] == record_name:
                return (row['SAPS-I'])

    def calc_avg(self,str):
            threshold = float(threshold)

        avg_file = csv.DictReader(self.load_data)

        running_sum = 0
        running_count = 0
        
        for row in avg_file:
            value = int(row[filter])
                
            if logic == 'lt' and value < threshold:
                include = True
            elif logic == 'gt' and value > threshold:
                include = True
            elif logic == 'lte' and value <= threshold:
                include = True
            elif logic == 'gte' and value >= threshold:
                include = True
            else:
                include = False

            if include:
                running_sum += int(row[specific])
                running_count += 1

            
        return (round(running_sum / running_count,2))