python – 使用NaN添加两个系列

我正在研究“Python For Data Analysis”,我不了解特定的功能.添加两个pandas系列对象将自动对齐索引数据,但如果一个对象不包含该索引,则返回为NaN.例如来自书：

a = Series([35000,71000,16000,5000],index=['Ohio','Texas','Oregon','Utah'])
b = Series([NaN,71000,16000,35000],index=['California', 'Texas', 'Oregon', 'Ohio'])

结果：

    In [63]: a
    Out[63]: Ohio          35000
             Texas         71000
             Oregon        16000
             Utah           5000
    In [64]: b
    Out[64]: California      NaN
             Texas         71000
             Oregon        16000
             Ohio          35000

当我把它们加在一起时,我得到了……

    In [65]: a+b
    Out[65]: California       NaN
             Ohio           70000
             Oregon         32000
             Texas         142000
             Utah             NaN

那么为什么犹他州的价值是NaN而不是500？似乎500 NaN = 500.是什么赋予了？我错过了什么,请解释一下.

更新：

    In [92]: # fill NaN with zero
             b = b.fillna(0)
             b
    Out[92]: California        0
             Texas         71000
             Oregon        16000
             Ohio          35000

    In [93]: a
    Out[93]: Ohio      35000
             Texas     71000
             Oregon    16000
             Utah       5000

    In [94]: # a is still good
             a+b
    Out[94]: California       NaN
             Ohio           70000
             Oregon         32000
             Texas         142000 
             Utah             NaN

解决方法:

Pandas不假设500 NaN = 500,但很容易要求它这样做：a.add(b,fill_value = 0)