def main():
df = []
outputData = pd.DataFrame(columns=['Time','Location','Box', 'CarID'])
douglas = pd.read_csv("mlk-douglas-cam-1.csv")
#douglas = douglas[douglas.label== 'car']
# Normally, iterate through every row in the "locations" col
# eval should do the job, and takes care of the inner dicts too
test = 1
for i in range(test):
loc = eval(douglas["locations"][i])
id_one = douglas["id"][0]
# here you can see the list, that it is type list, and that its contents are dicts
#print(locs, type(locs), type(locs[0]))
buff = Location(douglas, 1)
#box = buff.check_box()
#print(box)
buff.get_location()
buff.check_box()
buff.get_timestamp()
#entry=[{'Time':buff.get_timestamp(), 'buff.get_location(),buff.check_box(),douglas["id"][i]}]
#print(entry)
print(buff.appender())
#df = df.append(entry, ignore_index = True)
outputData = outputData.append(entry, ignore_index = True)
print(outputData)
df = outputData.copy()
#print(df['Time'][])
print(df.index)
times = []
"""
