你如何在 Pandas 中合并 2 系列
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How do you Merge 2 Series in Pandas
提问by Suminda Sirinath S. Dharmasena
I have the following:
我有以下几点：
s1 = pd.Series([1, 2], index=['A', 'B'])
s2 = pd.Series([3, 4], index=['C', 'D'])
I want to combine s1and s2to create s3which is:
我想结合s1并s2创建s3：
s3 = pd.Series([1, 2, 3, 4], index=['A', 'B', 'C', 'D'])
NB: There is no index overlap
注意：没有索引重叠
采纳答案by clocker
Solution from @EdChum works well, but numpy stacking is faster when you don't need to worry about index alignment.
@EdChum 的解决方案效果很好，但是当您不需要担心索引对齐时，numpy 堆叠会更快。
In [18]: pd.DataFrame( np.hstack((s1.values, s2.values)) , index=np.hstack((s1.index.values, s2.index.values)))
Out[18]:
0
A 1
B 2
C 3
D 4
In [19]: %timeit pd.concat([s1, s2])
1000 loops, best of 3: 1.31 ms per loop
In [21]: %timeit pd.DataFrame( np.hstack((s1.values, s2.values) ), index=np.hstack((s1.index.values, s2.index.values)))
10000 loops, best of 3: 214 μs per loop
回答by elcombato
回答by Yama? Alican I??k
If there is no index overlap, you could just use the append function defined for series with the default values
如果没有索引重叠，您可以使用为系列定义的带有默认值的 append 函数
s1.append(s2)
should return:
应该返回：
A 1
B 2
C 3
D 4
dtype: int64
