How Can I Efficiently Join DataFrames Based on Overlapping Datetime Ranges?

Joining Dataframes for Overlapping Datetime Ranges

Given two dataframes, df_1 and df_2, where df_1 has a timestamp column and df_2 has start and end columns representing datetime ranges, the objective is to join the dataframes based on the condition that the timestamp column in df_1 falls within the range defined by the start and end columns in df_2.

To achieve this, one effective solution involves utilizing Pandas' IntervalIndex for indexing df_2 based on the start and end values. By setting closed='both' in the IntervalIndex, we ensure that the endpoints of the intervals are included.

Next, we can leverage the get_loc method to identify the interval that corresponds to a given timestamp in df_1. Using this approach, we can obtain the corresponding event from df_2 associated with that time range.

By applying this process to each row in df_1, we can assign the appropriate event values to a new column, effectively joining the two dataframes based on the specified datetime range criteria.

This solution offers a straightforward and efficient method for performing complex joins between dataframes based on overlapping datetime intervals.

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