将数据帧行与python/pandas成对比较（位置索引器超出范围）

我需要将每一行与列值上的前一行进行比较（感兴趣的列的名称是

value

），如果它们具有相同的值，我想删除其中一行

name    value
Mark    True
Anna    False
Steven  True
Karl    False
Peter   False
Laure   True

所以我想删除Karl所在的行，因为他的值在下一行重复

所以我测试了这段代码：

def clean_limites():
for (idx1, row1), (idx2, row2) in pairwise(limites.iterrows()):
    if row1["value"]==row2["value"]:
                limites.drop(limites.iloc[row1], axis=1)
    print "succefully dropped row1"
return clean_limites

我的成对

函数

：

def pairwise(iterable):
    "s -> (s0,s1), (s1,s2), (s2, s3), ..."
    a, b = tee(iterable)
    next(b, None)
    return izip(a, b)

我有以下输出错误：

succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1
succefully dropped row1

IndexError: positional indexers are out-of-bounds

我是python新手，欢迎任何帮助

用于执行比较并筛选出行：

In [141]:
df[df['value']!= df['value'].shift()]

Out[141]:
     name  value
0    Mark   True
1    Anna  False
2  Steven   True
3    Karl  False
5   Laure   True