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('F:\FCD\实验文本.txt')
a=file.readlines()
for line in a:
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

你用这个试试