query
Description
result = query(
returns a table containing a subset of data from the cs,Name=Value)climateScenario
object, cs. Use name-value arguments to select the data that you want
to return. For example, query(cs,Region="Canada",Variable="Capital
expenditure") returns the capital expenditure data for Canada.
Examples
Return a subset of data from a climateScenario object. The climate transition scenario data that this example uses is available from the Bank of Canada and is free of charge at http://www.bankofcanada.ca.
Load the data.
load("BankOfCanadaClimateScenarioData.mat")
data = ClimateTransitionScenarioData;
head(data) k CL_GEOGRAPHY CL_SECTOR CL_VARIABLE CL_UNIT CL_SCENARIO CL_YEAR CL_VALUE
_ ____________ _________ _______________________________ ___________________ ________________________ _______ ________
1 Canada National Carbon price US$2014/tCO2e Baseline (2019 policies) 2020 12.106
2 Canada National Carbon price US$2014/tCO2e Below 2°C immediate 2020 12.106
3 Canada National Emissions | total GHG (scope 1) Million tonnes CO2e Baseline (2019 policies) 2020 781.04
4 Canada National Emissions | total GHG (scope 1) Million tonnes CO2e Below 2°C immediate 2020 781.04
5 Canada National Input price | Coal Index (2014 = 1) Baseline (2019 policies) 2020 1.2875
6 Canada National Input price | Coal Index (2014 = 1) Below 2°C immediate 2020 1.2875
7 Canada National Input price | Crops Index (2014 = 1) Baseline (2019 policies) 2020 1.0031
8 Canada National Input price | Crops Index (2014 = 1) Below 2°C immediate 2020 1.0031
Create a climateScenario object.
cs = climateScenario(data, ... RegionVar="CL_GEOGRAPHY", ... VariableVar="CL_VARIABLE", ... ScenarioVar="CL_SCENARIO", ... YearVar="CL_YEAR", ... ValueVar="CL_VALUE", ... CustomIdentifiers="Sector", ... CustomIdentifierVars="CL_SECTOR", ... UnitVar="CL_UNIT");
Use the query function to subset the data in cs by specifying name-value arguments for the Region and Variable identifiers. The output table, result, contains the rows corresponding to capital expenditure for the region of Canada.
result = query(cs,Region="Canada",Variable="Capital expenditure")
result=308×7 table
CL_GEOGRAPHY CL_SECTOR CL_VARIABLE CL_UNIT CL_SCENARIO CL_YEAR CL_VALUE
____________ ____________________ ___________________ _____________ ________________________ _______ ________
Canada Crops Capital expenditure 10 BN US$2014 Baseline (2019 policies) 2020 0.3558
Canada Crops Capital expenditure 10 BN US$2014 Below 2°C immediate 2020 0.3558
Canada Livestock Capital expenditure 10 BN US$2014 Baseline (2019 policies) 2020 0.1442
Canada Livestock Capital expenditure 10 BN US$2014 Below 2°C immediate 2020 0.1442
Canada Forestry Capital expenditure 10 BN US$2014 Baseline (2019 policies) 2020 0.0489
Canada Forestry Capital expenditure 10 BN US$2014 Below 2°C immediate 2020 0.0489
Canada Coal Capital expenditure 10 BN US$2014 Baseline (2019 policies) 2020 0.2698
Canada Coal Capital expenditure 10 BN US$2014 Below 2°C immediate 2020 0.2698
Canada Oil & Gas Capital expenditure 10 BN US$2014 Baseline (2019 policies) 2020 4.7944
Canada Oil & Gas Capital expenditure 10 BN US$2014 Below 2°C immediate 2020 4.7944
Canada Oil Capital expenditure 10 BN US$2014 Baseline (2019 policies) 2020 3.3869
Canada Oil Capital expenditure 10 BN US$2014 Below 2°C immediate 2020 3.3869
Canada Gas Capital expenditure 10 BN US$2014 Baseline (2019 policies) 2020 1.4075
Canada Gas Capital expenditure 10 BN US$2014 Below 2°C immediate 2020 1.4075
Canada Refined oil products Capital expenditure 10 BN US$2014 Baseline (2019 policies) 2020 0.7694
Canada Refined oil products Capital expenditure 10 BN US$2014 Below 2°C immediate 2020 0.7694
⋮
Input Arguments
Climate scenario object, specified as a climateScenario
object.
Name-Value Arguments
Specify optional pairs of arguments as
Name1=Value1,...,NameN=ValueN, where Name is
the argument name and Value is the corresponding value.
Name-value arguments must appear after other arguments, but the order of the
pairs does not matter.
Example: result = query(cs,Region="Canada",Variable="Capital
expenditure") returns a table that contains capital expenditure data for
Canada.
Region identifier values, specified as a string vector. By default, all the
regions are returned if you do not specify a string vector for
Region.
Variable identifier values, specified as a string vector. By default, all the
variables are returned if you do not specify a string vector for
Variable.
Scenario identifier values, specified as a string vector. By default, all the
scenarios are returned if you do not specify a string vector for
Scenario.
Year identifier values, specified as a numeric vector. By default, all the years
are returned if you do not specify a numeric vector for
Year.
Names of custom identifiers, specified as a string vector containing values of
cs.CustomIdentifiers. CustomIdentifiers must
match an identifier property contained in cs.CustomIdentifiers. For
example, if “Sector” is a custom identifier for the property
cs.CustomIdentifiers, then results =
query(cs,Region=”Canada”,Sector=”Gas”) returns the data for the gas sector
in Canada.
Unstack identifier, specified as a string scalar. Use this name-value argument
when you want to perform vectorized computations for a specific identifier. For
example, unstackedData = query(cs,"Variable",["Primary Energy |
Nuclear","Primary Energy | Total"],UnstackIdentifier="Scenario") extracts
the Primary Energy Nuclear and Primary Energy Total variables, relative to the
scenario identifier.
Version History
Introduced in R2025a
See Also
climateScenario | plot | groupRegions | sumVariables | divideVariables | shockVariables
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