====Execute====

This is a function of the [[class_LagCorrectedQuery|LagCorrectedQuery]] class.

===Description===

This function returns the complete, lag-corrected data query.

===Parameters===

^Parameter^Type^Meaning^
|start|datetime|The starting time for the query|
|end|string|The end time for the query|
|samples|int|The number of samples for the query|

===Returns===

A Pandas dataframe of synchronised data, with a numeric index.

Note that the //sample// parameter is simply a guide. The returned data-frame may have a significantly different number of rows.

===Usage===

The **Execute** function uses the //Lag Query// (set with [[lcq_RateLagQuery|RateLagQuery]] or [[lcq_AmountLagQuery|AmountLagQuery]]) to find the correct time-lags between each of the //sub-queries// (set with [[lcq_AddQuery|AddQuery]]).

It then runs each sub-query over subtly different time-frames and merges them all into a single Pandas dataframe.

Note that the start and end times should be relative to the [[end asset|end asset]] (or all those assets with a lag of zero).