I understand that OHLC re-sampling of time series data in Pandas, using one column of data, will work perfectly, for example on the following dataframe:
>
This is similar to the answer you linked, but it a little cleaner, and faster, because it uses the optimized aggregations, rather than lambdas.
Note that the resample(...).agg(...) syntax requires pandas version 0.18.0.
In [101]: df.resample('1H').agg({'openbid': 'first',
'highbid': 'max',
'lowbid': 'min',
'closebid': 'last'})
Out[101]:
lowbid highbid closebid openbid
ctime
2015-09-30 23:00:00 1.11687 1.11712 1.11708 1.117