Exception in Tkinter callback Traceback most recent call last

[janny-sins]

Here is the error I got.
Exception in Tkinter callback
Traceback (most recent call last):
File "C:\Users\Claire\AppData\Roaming\Python\Python36\site-packages\pandas\core\indexes\base.py", line 2898, in get_loc
return self._engine.get_loc(casted_key)
File "pandas_libs\index.pyx", line 70, in pandas._libs.index.IndexEngine.get_loc
File "pandas_libs\index.pyx", line 101, in pandas._libs.index.IndexEngine.get_loc
File "pandas_libs\hashtable_class_helper.pxi", line 1675, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas_libs\hashtable_class_helper.pxi", line 1683, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'Id'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "C:\Program Files\Python36\lib\tkinter_init_.py", line 1702, in call
return self.func(*args)
File "C:\Users\Claire\Desktop\New folder (6)\login-verification-master\run.py", line 161, in login_submit
TrackImages(a)
File "C:\Users\Claire\Desktop\New folder (6)\login-verification-master\run.py", line 135, in TrackImages
aa=df.loc[df['Id'] == Id]['Name'].values
File "C:\Users\Claire\AppData\Roaming\Python\Python36\site-packages\pandas\core\frame.py", line 2906, in getitem
indexer = self.columns.get_loc(key)
File "C:\Users\Claire\AppData\Roaming\Python\Python36\site-packages\pandas\core\indexes\base.py", line 2900, in get_loc
raise KeyError(key) from err
KeyError: 'Id'

This is the code that produces the error.
`def TrackImages(UserId):
recognizer = cv2.face.LBPHFaceRecognizer_create()#cv2.createLBPHFaceRecognizer()
recognizer.read("TrainingImageLabel\Trainner.yml")
harcascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(harcascadePath);
df=pd.read_csv("Details\Details.csv")
cam = cv2.VideoCapture(0)
font = cv2.FONT_HERSHEY_SIMPLEX
run_count=0;run=True
while run:

    ret, im =cam.read()
    gray=cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
    faces=faceCascade.detectMultiScale(gray, 1.2,5)    
    for(x,y,w,h) in faces:
        cv2.rectangle(im,(x,y),(x+w,y+h),(225,0,0),2)
        Id, conf = recognizer.predict(gray[y:y+h,x:x+w])
        print(Id, conf)
        if(conf < 50):
            aa=df.loc[df['Id'] == Id]['Name'].values
            tt=str(Id)+"-"+aa
            if (str(Id)==UserId):
                df.get ('values')
                message.configure(text="Face Recognsed Successfully")
                run=False
        else:
            Id='Unknown'                
            tt=str(Id)            
        cv2.putText(im,str(tt),(x,y+h), font, 1,(255,255,255),2)        
    run_count += 1    
    cv2.imshow('im',im) 
    if (cv2.waitKey(1)==ord('q') or run_count==150):
        message.configure(text="Unable to Recognise Face")
        break

cam.release()
cv2.destroyAllWindows()

def login_submit():
a=txt.get()
b=txt2.get()
if (a in data):
if(data[a] == b):
TrackImages(a)
else:
message.configure(text="Id and Password does not Match")
else:
message.configure(text="Entered Id does not Exists")

login_clear()`