python 数据分析需要什么包

2025-04-06 21:46:41
推荐回答(1个)
回答1:

Series是一个一维的类似的数组对象,包含一个数组的数据(任何NumPy的数据类型)和一个与数组关联的数据标签,被叫做 索引 。最简单的Series是由一个数组的数据构成:
In [4]: obj = Series([4, 7, -5, 3])
In [5]: obj
Out[5]:
0 4
1 7
2 -5
3 3

Seriers的交互式显示的字符窜表示形式是索引在左边,值在右边。因为我们没有给数据指定索引,一个包含整数0到 N-1 (这里N是数据的长度)的默认索引被创建。 你可以分别的通过它的 values 和 index 属性来获取Series的数组表示和索引对象:
In [6]: obj.values
Out[6]: array([ 4, 7, -5, 3])
In [7]: obj.index
Out[7]: Int64Index([0, 1, 2, 3])

通常,需要创建一个带有索引来确定没一个数据点的Series:
In [8]: obj2 = Series([4, 7, -5, 3], index=['d', 'b', 'a', 'c'])
In [9]: obj2
Out[9]:
d 4
b 7
a -5
c 3
In [10]: obj2.index
Out[10]: Index([d, b, a, c], dtype=object)

与正规的NumPy数组相比,你可以使用索引里的值来选择一个单一值或一个值集:
In [11]: obj2['a']
Out[11]: -5
In [12]: obj2['d'] = 6
In [13]: obj2[['c', 'a', 'd']]
Out[13]:
c 3
a -5
d 6

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