python如何对dataframe中行去重？

Question

RT，自己随便写了个，显示错误为
ValueError: Can only compare identically-labeled DataFrame objects

但总感觉思路都错了....请指教一下

import pandas as pd
from pandas import DataFrame
L=[]
file=open('F:\\FCD\\实验文本.txt')
a=file.readlines()
for line in a:
    L.append(line.split(','))
data=pd.DataFrame(L)

for i in range(len(data)):
    for u in range(len(data)):
        a=data[i:i+1]
        b=data[u:u+1]
        if u != i and a==b:
            data.drop(data.index[[i,i+1]],inplace=True)

Answer 1

import pandas as pd
from pandas import DataFrame
L=[]
file=open('D:\FCD\1.txt')
a=file.readlines()
#print a
for line in a:
#print line
#print line.strip('\n')
L.append(line.strip('\n'))
print L
data=pd.DataFrame(L)
print data
print len(data)
IsDuplicated = data.duplicated()

print IsDuplicated

print type(IsDuplicated)

data = data.drop_duplicates()

print data

##for i in range(len(data)):

print "i:%d" % i

for u in range(len(data)):

print "u:%d" % u

a=data[i:i+1]

b=data[u:u+1]

print "a:%s" % a

print "b:%s" % b

if u != i and a==b:

data.drop(data.index[[i,i+1]],inplace=True)