pandas 沿着它们的索引组合熊猫中的两个系列
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时间：2020-09-13 21:03:57 来源:igfitidea点击:
Combining two series in pandas along their index
提问by user7289
I have two series in pandas.
我有两个Pandas系列。
series 1:
系列一：
id count_1
1 3
3 19
4 15
5 5
6 2
and series 2:
和系列2：
id count_2
1 3
3 1
4 1
5 2
6 1
How do I combine the tables along the ids to form the below?
我如何沿着 id 组合表格以形成下面的表格？
id count_1 count_2
1 3 3
3 19 1
4 15 1
5 5 2
6 2 1
回答by Andy Hayden
You can use concat:
您可以使用concat：
In [11]: s1
Out[11]:
id
1 3
3 19
4 15
5 5
6 2
Name: count_1, dtype: int64
In [12]: s2
Out[12]:
id
1 3
3 1
4 1
5 2
6 1
Name: count_2, dtype: int64
In [13]: pd.concat([s1, s2], axis=1)
Out[13]:
count_1 count_2
id
1 3 3
3 19 1
4 15 1
5 5 2
6 2 1
Note: if these were DataFrame (rather than Series) you could use merge:
注意：如果这些是 DataFrame（而不是 Series），您可以使用merge：
In [21]: df1 = s1.reset_index()
In [22]: s1.reset_index()
Out[22]:
id count_1
0 1 3
1 3 19
2 4 15
3 5 5
4 6 2
In [23]: df2 = s2.reset_index()
In [24]: df1.merge(df2)
Out[24]:
id count_1 count_2
0 1 3 3
1 3 19 1
2 4 15 1
3 5 5 2
4 6 2 1
