Pandas —— combine_first( )合并重叠数据

先创建两组数据a和b

In [62]: a=pd.Series([np.nan,2.5,np.nan,3.5,4.5,np.nan],index=['f','e','d','c','b','a'])

In [63]: b=pd.Series([1,np.nan,3,4,5,np.nan],index=['f','e','d','c','b','a'])

In [64]: a
Out[64]:
f    NaN
e    2.5
d    NaN
c    3.5
b    4.5
a    NaN
dtype: float64

In [65]: b
Out[65]:
f    1.0
e    NaN
d    3.0
c    4.0
b    5.0
a    NaN
dtype: float64

用a的数据填补b的缺失值

In [66]: b.combine_first(a)
Out[66]:
f    1.0
e    2.5
d    3.0
c    4.0
b    5.0
a    NaN
dtype: float64

用b的数据填补a的缺失值

In [67]: a.combine_first(b)
Out[67]:
f    1.0
e    2.5
d    3.0
c    3.5
b    4.5
a    NaN
dtype: float64