howtos:toolcoding:many_to_one_mapping_with_non_summation_aggregation_rule
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howtos:toolcoding:many_to_one_mapping_with_non_summation_aggregation_rule [2010/04/20 19:37] deryn.crockett |
howtos:toolcoding:many_to_one_mapping_with_non_summation_aggregation_rule [2010/04/23 18:41] deryn.crockett |
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| - | The map tool can perform an index mapping in which multiple elements of informant X are mapped to the same element of informant Y. To aggregate multiple elements into one, the map tool sums the values of the composite elements. However, there may be a need to use a different aggregation function such as minimum, maximum, or average. The following code demonstrates how to implement this logic. | + | ====== Many to One Mapping with Non-Summation Aggregation Rule ====== |
| + | The map tool can perform an index mapping in which multiple elements of informant X are mapped to the same element of informant Y. To aggregate multiple elements into one, the map tool sums the values of the composite elements. However, there may be a need to use a different aggregation function such as minimum, maximum, or average. | ||
| + | The following example demonstrates how to implement this logic. | ||
| + | |||
| + | ===== Background ===== | ||
| + | In this example, the a variable indexed by the informant unitID will be mapped to a variable indexed by the informant plantID. The contents of these informants are: | ||
| <code> | <code> | ||
| + | plantID[]: set | ||
| + | version: 3 | ||
| + | desc: localinformant plantID[] = create (; object=set, data="Plant1 Plant2") | ||
| + | data: 2 elements | ||
| + | ----------------------------------- | ||
| + | 1 Plant1 | ||
| + | 2 Plant2 | ||
| + | unitID[]: set | ||
| + | version: 3 | ||
| + | desc: localinformant unitID[] = create (; object=set, data="Unit1 Unit2 Unit3 Unit4 Unit5") | ||
| + | data: 5 elements | ||
| + | ----------------------------------- | ||
| + | 1 Unit1 | ||
| + | 2 Unit2 | ||
| + | 3 Unit3 | ||
| + | 4 Unit4 | ||
| + | 5 Unit5 | ||
| </code> | </code> | ||
| + | |||
| + | The variable unitComYr contains commissioning years by unitID | ||
| + | |||
| + | {{:howtos:toolcoding:unitcomyr.png|}} | ||
| + | |||
| + | ===== Implementation ===== | ||
| + | 1. Create the following desired mapping from unitID to plantID is:\\ | ||
| + | |||
| + | Unit1 -> Plant1\\ | ||
| + | Unit2 -> Plant2\\ | ||
| + | Unit3 -> Plant1\\ | ||
| + | Unit4 -> Plant1\\ | ||
| + | Unit5 -> Plant2 | ||
| + | |||
| + | <code> | ||
| + | local unitToPlantMap[uid] = create (; dataType=integer, dim=unitID, data="1 2 1 1 2") | ||
| + | </code> | ||
| + | |||
| + | |||
| + | 2. Create a mask that will expand unitComYr to include plantID | ||
| + | |||
| + | <code> | ||
| + | local pid[pid,pid] = diag (1.0; dim=plantID) | ||
| + | local plantIDMask[uid,pid] = boolne (dimtran (pid[pid,pid]; map1=unitToPlantMap[uid], newDims=1, checkData=off),0) | ||
| + | </code> | ||
| + | {{:howtos:toolcoding:plantidmask.png|}} | ||
| + | |||
| + | <code> | ||
| + | local unitComYrx[uid,pid] = unitComYr[uid] * plantIDMask[uid,pid] | ||
| + | </code> | ||
| + | {{:howtos:toolcoding:unitcomyrx.png|}} | ||
| + | |||
| + | |||
| + | 3. Add offset to remove 0's before taking minimum | ||
| + | <code> | ||
| + | local unitComYry[uid,pid] = booleq (unitComYrx[uid,pid],0) * 9999 + unitComYrx[uid,pid] | ||
| + | </code> | ||
| + | |||
| + | |||
| + | 4. Use coordmin to create a variable that contains online date, which is the earliest commissioning year of the units that comprise the plant, by plantId | ||
| + | <code> | ||
| + | local plantOnlineDate[pid] = coordmin (reorder (unitComYry[uid,pid]; plantID, unitID); numDims=1) | ||
| + | </code> | ||
| + | {{:howtos:toolcoding:plantonlinedate.png|}} | ||
| + | |||
| + | Click {{:howtos:toolcoding:mapmin.t|here}} to download the tool file that encapsulates the above example. | ||
howtos/toolcoding/many_to_one_mapping_with_non_summation_aggregation_rule.txt · Last modified: 2011/06/13 16:20 by chris.strashok
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