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Editorial Team
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Editorial Team
Asked: June 9, 20262026-06-09T01:13:34+00:00 2026-06-09T01:13:34+00:00

It looks pandas.concat is doing ‘left outer’ join instead of just union the indexes.

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It looks pandas.concat is doing ‘left outer’ join instead of just union the indexes. Seems a bug to me but maybe I’m missing something obvious.

    import pandas
    import pandas.util.testing as put
    ts1 = put.makeTimeSeries()
    ts2 = put.makeTimeSeries()[::2]
    ts3 = put.makeTimeSeries()[::3]
    ts4 = put.makeTimeSeries()[::4]

    ## to join with union
    ## these two are of different length!
    pandas.concat([ts1,ts2], join='outer', axis = 1) 
    pandas.concat([ts2,ts1], join='outer', axis = 1)

Any idea how can I get the full union (as they do claim by using join=’outer’ on the pandas document)

Thanks.

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  1. Editorial Team
    Editorial Team
    2026-06-09T01:13:35+00:00Added an answer on June 9, 2026 at 1:13 am

    It’s a bug. Opened an issue here:

    http://github.com/pydata/pandas/issues/1719

    (Please use GitHub for pandas bug reports)

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