pandas 合并熊猫中的两个时间序列
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Merging two time series in pandas
提问by user1507844
Apologies if this is obviously documented somewhere, but I'm having trouble discovering it. I have two TimeSeries with some overlapping dates/indices and I'd like to merge them. I assume I'll have to specify which of the two series to take the values from for the overlapping dates. For illustration I have:
抱歉，如果这在某处显然有记录，但我很难找到它。我有两个 TimeSeries 有一些重叠的日期/索引，我想合并它们。我假设我必须指定两个系列中的哪一个从重叠日期中获取值。为了说明，我有：
s1:
2008-09-15 100
2008-10-15 101
s2:
2008-10-15 101.01
2008-11-15 102.02
and I want:
而且我要：
s3:
2008-09-15 100
2008-10-15 101
2008-11-15 102.02
or
或者
s3:
2008-09-15 100
2008-10-15 101.01
2008-11-15 102.02
回答by user1507844
This can be achieved using combine_first:
这可以使用combine_first：
In [11]: s1.combine_first(s2)
Out[11]:
2008-09-15 100.00
2008-10-15 101.00
2008-11-15 102.02
dtype: float64
