结合 pandas 中的两个时间序列 [英] Combining two time series in pandas

问题描述

抱歉，如果这在某处有明显记录，但我无法找到它.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:

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:

s1:
2008-09-15    100
2008-10-15    101

s2:
2008-10-15    101.01
2008-11-15    102.02

我想要:

s3:
2008-09-15    100
2008-10-15    101
2008-11-15    102.02

或

s3:
2008-09-15    100
2008-10-15    101.01
2008-11-15    102.02

推荐答案

这可以使用 combine_first:

This can be achieved using 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

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