Max & Min Date in Python Pandas DataFrame -


i have dataframe, tmp_contracts, looks this:

     trade date    futures 0     3/26/2004    k (may 04) 1     3/29/2004    k (may 04) 2     3/30/2004    k (may 04) 3     3/31/2004    k (may 04) 4     4/1/2004     k (may 04) ... 19416 03/11/2014   x (nov 14) 19417 03/12/2014   x (nov 14) 19418 03/13/2014   x (nov 14) 19419 03/14/2014   x (nov 14) 19420 03/17/2014   x (nov 14)

i trying pivot data frame can identify minimum , maximum trade date given contract, not working intuitively:

in [517]: tmp_contracts.pivot_table(rows='futures', aggfunc=[min, max]).head() out[517]:                 min        max futures       trade date trade date f (jan 05)    futures    trade date f (jan 06)    futures    trade date f (jan 07)    futures    trade date f (jan 08)    futures    trade date f (jan 09)    futures    trade date

i don't quite understand why happening way. intuition suggest, me, result in minimum , maximum dates in above dataset. missing?


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