1.重新索引
如果reindex会根据新索引重新排序,不存在的则引入缺省:
In [3]: obj = Series([4.5,7.2,-5.3,3.6], index=["d","b","a","c"...Out[9]:
0 blue
1 blue
2 purple
3 purple
4 yellow
5 yellow
dtype: object
2.丢弃指定轴上的项...drop方法返回在指定轴上删除了指定值的新对象:
In [12]: obj = Series(np.arange(5.), index=["a","b","c","d","e"])
In [13]:...切片不一样,末端也是包含的:
In [8]: obj["b":"c"]
Out[8]:
b 1.0
c 2.0
dtype: float64
DataFrame进行索引:
In [10]:...,如果存在不同的索引,则结果的索引取其并集:
In [20]: s1 = Series([7.3,-2.5,3.4,1.5],index=['a','c','d','e'])
In [21]: s2 =