Finding a future variable in Python using Pandas based on time intervals in minutes

Apologies for the inadequate title, finding the right words to summarize my issue is challenging

I am working with a dataset df1 that has the following index:

[2014-01-02 10:00:02.644000, ..., 2014-01-02 15:59:58.630000]
Length: 26761, Freq: None, Timezone: None

The column price in my df1 includes values such as 40,38, etc.

This is how my df1 appears:

Timestamp                   price1                                                   
2014-01-02 10:00:02.120000  38
2014-01-02 10:00:03.213000  40
2014-01-02 10:00:06.648000  39 
2014-01-02 10:00:02.699320  50
...

I also have another DataFrame called df2

Timestamp                   price2                                                   
2014-01-02 10:00:06.879000  39
2014-01-02 10:00:07.457200  41
2014-01-02 10:00:10.625450  35 
2014-01-02 10:00:12.674320  47
...

My goal is to introduce a new variable, price2, into df1 which fetches the value of price2 5 minutes after each timestamp in df1. For example, looking at the first row of df1, price2 should be the value of price2 at 10:00:07.120000 in df2. However, there may not be an exact match for this time in df2, so some form of extrapolation would be necessary...any suggestions on the best approach?

Answer №1

After searching diligently, I found the solution here. This approach really helped me pinpoint the nearest match according to time. It's exactly what I needed!

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