为什么我的Pandas DataFrame包含一个空列？

Rather, why does it output an empty first column to csv when I call to_csv. I'm not certain if the dataframe actually contains an extra column or merely outputs one to csv. I have the code below, and when I open its output, times.csv, I get an "empty" first column:

,Start,End
0,2020-05-23 20:27:39.388228,2020-05-23 20:27:43.24543

import cv2, time, pandas
from datetime import datetime

first_frame=None
status_list=[]
times=[]
df=pandas.DataFrame(columns=["Start","End"])

video=cv2.VideoCapture(0)

while True:    
    check, frame = video.read()
    status=0
    grey=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    grey=cv2.GaussianBlur(grey,(21,21),0)

    if first_frame is None:
        first_frame=grey
        continue

    delta_frame=cv2.absdiff(first_frame, grey)
    thresh_frame=cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
    thresh_frame=cv2.dilate(thresh_frame, None, iterations=2)

    (cnts,_)=cv2.findContours(thresh_frame.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
    for contour in cnts:
        if cv2.contourArea(contour)<10000:
            continue
        status=1
        (x,y,w,h)=cv2.boundingRect(contour)
        cv2.rectangle(frame,(x,y), (x+w,y+h), (0,255,0), 3)

    status_list.append(status)    
    if len(status_list)>=2:
        if status_list[-1]==1 and status_list[-2]==0:
            times.append(datetime.now())
        if len(status_list)>=2 and status_list[-1]==0 and status_list[-2]==1:
            times.append(datetime.now())

    cv2.imshow("Capturing", grey)
    cv2.imshow("Delta", delta_frame)
    cv2.imshow("Threshold", thresh_frame)
    cv2.imshow("Colour Frame", frame)

    key=cv2.waitKey(1)

    if key==ord('q'):
        if status==1:
            times.append(datetime.now())
        break

print(status_list)
print(times)

for i in range(0,len(times),2):
    df=df.append({"Start":times[i],"End":times[i+1]},ignore_index=True)
df.to_csv(r"MotionDetector\times.csv") 

video.release()
cv2.destroyAllWindows()

我怀疑这与数据帧的索引有关，但是除了简单的两列网格之外，我没有指定任何其他需要的东西。