python - Pandas Dataframe resample -

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i have quite huge dataframe, , need average on 15 second intervals. can see index not timestamp, need re-sample on column ts (timestamp). till have been using matplotlib.dates.num2date(table.index), quite time consuming, , gives me memory errors. there anyway use re-sample on , other column? if there faster way average every 15th second re-sample, please let me know. relevant code below.

import pandas pd import numpy np import matplotlib.dates pltd  >>> table[ts] 735381.370833   2014-05-28 08:54:00 735381.379109   2014-05-28 09:05:55 735381.379155   2014-05-28 09:05:59 735381.380556   2014-05-28 09:08:00 735381.382014   2014-05-28 09:10:06 735381.407407   2014-05-28 09:46:40  table.index = pltd.num2date(table.index) table = table.resample('15s') table.index = pltd.date2num(table.index.to_pydatetime())


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