如何在 pandas 中做一系列的系列 [英] How to do a series of series in pandas

问题描述

说我有两个系列:a和b，

Say I have two series: a and b,

a = Series(None, index=['a','b','c'])
b = Series('lol', index=['j','k','l'])

我想将b存储为a的元素之一，

I would like to store b as one of the elements of a,

a['a'] = b

但我明白了

ValueError: setting an array element with a sequence.

是否可以在熊猫系列中存储熊猫系列?我该怎么做?谢谢.

Is it possible to store a pandas series inside a pandas series? How can I do it? Thanks.

推荐答案

您可以使用

You can recast the dtype using the method astype:

In [11]: a = a.astype(object)

In [12]: a['a'] = b

In [13]: a
Out[13]: 
a    [lol, lol, lol]
b                NaN
c                NaN

构造a时(或者使用astype)，可以强制dtype成为对象:

Alternatively (to using astype) when contructing a you can force the dtype to be object:

In [14]: a = Series(None, index=['a','b','c'], dtype=object)

出现此错误的原因是因为float64不允许Series，并且同样不允许字符串-尝试设置a['a'] = 'lol'会得到ValueError. /p>

The reason you are getting this error is because float64, doesn't allow a Series and similarly it doesn't allow strings - try to set a['a'] = 'lol' and you'll get a ValueError.

In [21]: a = Series(None, index=['a','b','c'])

In [22]: a.dtype
Out[22]: dtype('float64')

您可以在文档中阅读有关类型转换的更多信息.

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