python - Is it possible to insert a row at an arbitrary position in a dataframe using pandas? -

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i have dataframe object similar one:

       onset    length 1      2.215    1.3 2     23.107    1.3 3     41.815    1.3 4     61.606    1.3 ...

what insert row @ position specified index value , update following indices accordingly. e.g.:

       onset    length 1      2.215    1.3 2     23.107    1.3 3     30.000    1.3  # new row 4     41.815    1.3 5     61.606    1.3 ...

what best way this?

you slice , use concat want.

line = dataframe({"onset": 30.0, "length": 1.3}, index=[3]) df2 = concat([df.ix[:2], line, df.ix[3:]]).reset_index(drop=true)

this produce dataframe in example output. far i'm aware, concat best method achieve insert type operation in pandas, admittedly i'm no means pandas expert.


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