Python字典由于某种原因引发KeyError

Question

在某些代码中，我通过字典 (TankDict) 从列表中传递一个字符串。无论我输入什么字母，这都会引发 KeyError。当我从程序的上下文中复制并粘贴字典并从列表中传入相同的字母时，它们正确地出来了。我还运行了type(TankDict)，它以“dict”的形式返回。 这是字典： TankDict = {'E':0, 'F':1, 'G':2, 'H':3, 'I':4, 'J':5, 'K':6, 'L':7, 'M':8, 'N':9, 'O':10, 'P':11, 'Q':12, 'R':13, 'S':14, 'T':15, 'U':16, 'V':17, 'W':18, 'X':19}

错误： enter code herechannelData[1] = tank_address_dict[channelData[1]] KeyError: 'L' （tank_address_dict 是 TankDict 传入的函数参数）

channelData的内容：['447', 'L', '15', 'C']

谁能告诉我发生这种情况的（可能很简单）原因？

编辑：代码！

这是错误所在的函数：

def getTankID(channel,tank_address_dict,PTM_dict,channel_ref):
rawChannelData = 'NA' 
for line in channel_ref:
    if str(channel) in line: rawChannelData = line
if(rawChannelData == 'NA'): return -1;
channelData = rawChannelData.split(' ')
channelData.extend(['',''])
channelData[1] = channelData[1][:-1]
channelData[3] = channelData[1][-1]
channelData[1] = channelData[1][:-1]
channelData[2] = channelData[1][1:]
channelData[1] = channelData[1][:1]
print channelData #debug
print 'L' in tank_address_dict
print 'E' in tank_address_dict
print 'O' in tank_address_dict
print 'U' in tank_address_dict
print type(tank_address_dict)
channelData[1] = tank_address_dict[channelData[1]]
channelData[3] = PTM_dict[channelData[3]]
return(channelData[1:])

这是调用它的函数：

def runFile(model, datafile, time_scale, max_PEs, tank_address_dict, PMT_dict, channel_ref):
#add initSerial for ser0-4
while(True):   
    raw_data = datafile.readline() #intake data
    if(raw_data == ''): break #End while loop if the file is done
    data = raw_data.split(' ')  #break up the parts of each line
    del data[::2]   #delete the human formatting
    data[2] = data[2][:-1] #rm newline (NOTE: file must contain blank line at end!)
    TankID = getTankID(data[0], tank_address_dict, PMT_dict,channel_ref)
    if(TankID == -1):
        print '!---Invalid channel number passed by datafile---!'; break #check for valid TankID
    model[TankID[0]][TankID[1]][TankID[2]] = scale(data[2],(0,max_PEs),(0,4096))
    createPackets(model)
    #updateModel(ser0,ser1,ser2,ser3,ser4,packet)
    data[2] = data[2]*time_scale #scale time
    time.sleep(data[2]) #wait until the next event
    print data #debug 
if(TankID != -1): print '---File',datafile,'finished---' #report errors in file run
else: print '!---File',datafile,'finished with error---!' 

这是调用它的代码：

import hawc_func
import debug_options
#begin defs
model = hawc_func.createDataStruct() #create the data structure
TankDict = hawc_func.createTankDict() #tank grid coordinate conversion table
PTMDict = hawc_func.createPMTDict() #PMT conversion table
log1 = open('Logs/log1.txt','w') #open a logfile
data = open('Data/event.txt','r') #open data
channel_ref = open('aux_files/channel_map.dat','r')
time_scale = 1 #0-1 number to scale nano seconds? to seconds
#end defs
hawc_func.runFile(model,data,4000,TankDict,PTMDict,time_scale,channel_ref)

#hawc_func.runFile(model,data,TankDict,PTMDict)
#close files
log1.close()
data.close()
#end close files
print '-----Done-----' #confirm tasks finished

tank_address_dict 是通过这个函数创建的，由第三个代码块运行，然后通过其他两个传递：

def createTankDict():
    TankDict = {'E':0, 'F':1, 'G':2, 'H':3, 'I':4, 'J':5,
               'K':6, 'L': 7, 'M':8, 'N':9,
               'O':10, 'P':11, 'Q':12, 'R':13, 'S':14, 'T':15,
               'U':16, 'V': 17, 'W':18, 'X':19}
    return TankDict

Answer 1

您没有正确传递参数。

def runFile(model, datafile, time_scale, max_PEs, tank_address_dict, PMT_dict, channel_ref):

hawc_func.runFile(model,data,4000,TankDict,PTMDict,time_scale,channel_ref)

这里，你有max_PEs = TankDict。

这可能不是您唯一的问题。先解决这个问题，如果您仍然遇到问题，请使用您的固定代码更新您的帖子，然后告诉我们您的新错误是什么。